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"language_code": "fi"
},
"README.md": {
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T10:14:11+00:00",
"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
"translation_date": "2026-04-06T20:58:25+00:00",
"source_file": "README.md",
"language_code": "fi"
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[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# Tekoäly Aloittelijoille – Opetussuunnitelma
# Tekoäly Aloittelijoille - Opetussuunnitelma
|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| AI Aloittelijoille – _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
| AI Aloittelijoille - _Sketchnote tekijältä [@girlie_mac](https://twitter.com/girlie_mac)_ |
Tutustu **tekoälyn** maailmaan 12 viikon ja 24 oppitunnin opetussuunnitelmamme avulla! Sisältää käytännön oppitunteja, tietovisoja ja työpajoja. Opetussuunnitelma on aloittelijaystävällinen ja käsittelee työkaluja kuten TensorFlow ja PyTorch sekä tekoälyn etiikkaa.
Tutustu **Tekoälyn** (AI) maailmaan 12 viikon ja 24 opetuksen opetussuunnitelmamme avulla! Se sisältää käytännönläheisiä oppitunteja, tietokilpailuja ja laboratorioita. Opetussuunnitelma on aloittelijaystävällinen ja kattaa työkalut kuten TensorFlow ja PyTorch sekä tekoälyn etiikan.
### 🌐 Monikielinen tuki
#### Tuettu GitHub-automaatioilla (automaattinen & aina ajan tasalla)
#### Tuettu GitHub Actionin kautta (Automaattinen & Aina ajan tasalla)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](./README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
[Arabia](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Kiina (Yksinkertaistettu)](../zh-CN/README.md) | [Kiina (Perinteinen, Hong Kong)](../zh-HK/README.md) | [Kiina (Perinteinen, Macau)](../zh-MO/README.md) | [Kiina (Perinteinen, Taiwan)](../zh-TW/README.md) | [Kroatia](../hr/README.md) | [Tšekki](../cs/README.md) | [Tanska](../da/README.md) | [Hollanti](../nl/README.md) | [Viro](../et/README.md) | [Suomi](./README.md) | [Ranska](../fr/README.md) | [Saksa](../de/README.md) | [Kreikka](../el/README.md) | [Heprea](../he/README.md) | [Hindi](../hi/README.md) | [Unkari](../hu/README.md) | [Indonesia](../id/README.md) | [Italia](../it/README.md) | [Japani](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korea](../ko/README.md) | [Liettua](../lt/README.md) | [Malesia](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norja](../no/README.md) | [Persia (Farsi)](../fa/README.md) | [Puola](../pl/README.md) | [Portugali (Brasilia)](../pt-BR/README.md) | [Portugali (Portugali)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romania](../ro/README.md) | [Venäjä](../ru/README.md) | [Serbia (Kyrillinen)](../sr/README.md) | [Slovakki](../sk/README.md) | [Sloveeni](../sl/README.md) | [Espanja](../es/README.md) | [Swahili](../sw/README.md) | [Ruotsi](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamili](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkki](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnami](../vi/README.md)
> **Haluatko mieluummin kloonata paikallisesti?**
> **Haluatko kloonata paikallisesti?**
>
> Tämä arkisto sisältää yli 50 kieliversiota, mikä lisää latauskokoa huomattavasti. Jos haluat kloonata ilman käännöksiä, käytä sparse checkout -toimintoa:
> Tämä arkisto sisältää yli 50 kieliversiota, mikä lisää lataustiedoston kokoa merkittävästi. Kloonaa ilman käännöksiä käyttämällä sparse checkout -toimintoa:
>
> **Bash / macOS / Linux:**
> ```bash
@ -46,12 +46,12 @@ Tutustu **tekoälyn** maailmaan 12 viikon ja 24 oppitunnin opetussuunnitelmamme
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> Näin saat kaiken tarvittavan kurssin suorittamiseen paljon nopeammalla latauksella.
> Saat näin kaiken tarvitsemasi kurssin suorittamiseen paljon nopeammalla latauksella.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**Jos haluat lisätä käännöksiä, tuetut kielet ovat listattuna [tässä](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**Jos haluat lisäkielitukea, tuetut kielet löytyvät [tästä](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## Liity yhteisöön
## Liity Yhteisöön
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
## Mitä opit
@ -60,169 +60,169 @@ Tutustu **tekoälyn** maailmaan 12 viikon ja 24 oppitunnin opetussuunnitelmamme
Tässä opetussuunnitelmassa opit:
* Erilaiset lähestymistavat tekoälyyn, mukaan lukien "hyvä vanha" symbolinen lähestymistapa, jossa käytetään **tiedon esitystä** ja päättelyä ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neuroverkot** ja **syväoppiminen**, jotka ovat modernin tekoälyn ytimessä. Käsittelemme näiden tärkeiden aiheiden taustalla olevia periaatteita koodin avulla kahdessa suosituimmassa kehysympäristössä – [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org).
* **Neuroarkkitehtuurit** kuvien ja tekstin käsittelyyn. Käymme läpi uusia malleja, mutta emme välttämättä kata aivan viimeisimpiä huipputekniikoita.
* Vähemmän tunnettuja tekoälyn lähestymistapoja, kuten **geneettiset algoritmit** ja **moniagenttijärjestelmät**.
* Erilaisia tekoälyn lähestymistapoja, mukaan lukien "hyvä vanha" symbolinen lähestymistapa **Tietämyksen esityksen** ja päättelyn avulla ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neuroverkot** ja **Syväoppiminen**, jotka ovat modernin tekoälyn ytimessä. Havainnollistamme näiden tärkeiden aiheiden periaatteita kahdessa suosituimmassa kehysympäristössä — [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org).
* **Neuroarkkitehtuurit** kuvien ja tekstin käsittelyyn. Käymme läpi viimeaikaisia malleja, vaikkakin valikoima ei välttämättä kata aivan uusinta huippua.
* Vähemmän suosittuja tekoälyn lähestymistapoja, kuten **Geneettiset algoritmit** ja **Moniagenttijärjestelmät**.
Mitä emme käsi tässä opetussuunnitelmassa:
Mitä emme kata tässä opetussuunnitelmassa:
> [Löydät kaikki lisämateriaalit tähän kurssiin Microsoft Learn -kokoelmastamme](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
> [Löydä kaikki lisäresurssit tähän kurssiin Microsoft Learn -kokoelmastamme](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* Liiketoiminnan käyttötapaukset tekoälyn soveltamisessa. Suosittelemme [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) -polkua Microsoft Learnissa tai [AI Business Schoolia](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), joka on kehitetty yhteistyössä [INSEADin](https://www.insead.edu/) kanssa.
* **Perinteinen koneoppiminen**, jota käsitellään hyvin [Machine Learning for Beginners Curriculumissa](http://github.com/Microsoft/ML-for-Beginners).
* Käytännön tekoälysovelluksia, jotka on rakennettu käyttäen **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** -palveluita. Näitä varten suosittelemme aloittamaan Microsoft Learn -moduuleilla [kuvantunnistuksesta](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [luonnollisen kielen käsittelystä](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[generatiivisesta tekoälystä Azure OpenAI -palvelulla](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja muista aiheista.
* Erityisiä ML **pilvikehyksiä**, kuten [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) tai [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Kannattaa käyttää opintopolkuja [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
* **Vuorovaikutteinen tekoäly** ja **chatbotit**. Tästä on erillinen [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) -polku, ja voit myös katsoa [tämän blogikirjoituksen](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) lisätietoja varten.
* **Syvä matematiikka** syväoppimisen takana. Tästä suosittelemme teosta [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kirjoittajilta Ian Goodfellow, Yoshua Bengio ja Aaron Courville, joka on myös saatavilla verkossa osoitteessa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
* Liiketoiminnan käyttötapaukset **tekoälyn hyödyntämiseen liiketoiminnassa**. Harkitse [Johdanto tekoälyyn liiketoiminnan käyttäjille](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) -oppimispolkua Microsoft Learnissa tai [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), joka on kehitetty yhteistyössä [INSEAD](https://www.insead.edu/) -yliopiston kanssa.
* **Perinteinen koneoppiminen**, joka on hyvin käsitelty [Koneoppimisen aloittelijoille](http://github.com/Microsoft/ML-for-Beginners) opetussuunnitelmassamme.
* Käytännön tekoälysovellukset, jotka on rakennettu **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** -palveluilla. Tässä suosittelemme aloittamaan Microsoft Learn -moduuleilla [näkökenttä](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [luonnollinen kieltenkäsittely](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatiivinen tekoäly Azure OpenAI -palvelulla](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja muilla kursseilla.
* Erityiset ML **Pilvivalmiudet**, kuten [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) tai [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Harkitse käyttäväsi [Rakenna ja hallinnoi koneoppimisratkaisuja Azure Machine Learningillä](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Rakenna ja hallinnoi koneoppimisratkaisuja Azure Databricksillä](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) oppimispolkuja.
* **Keskusteleva tekoäly** ja **Chatbotit**. Tarjolla on oma [Luo keskusteleva tekoälyratkaisu](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) oppimispolkunsa, ja voit myös tutustua [tähän blogikirjoitukseen](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) saadaksesi lisää tietoa.
* **Syvällinen matematiikka** syväoppimisen taustalla. Tässä suosittelemme teosta [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kirjoittajilta Ian Goodfellow, Yoshua Bengio ja Aaron Courville, joka on saatavilla myös verkossa: [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
Hellävaraiseen johdatukseen _tekoäly pilvessä_ -teemoihin kannattaa tutustua [Aloita tekoälyllä Azurella](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) -oppimispolkua.
Hellävaraista johdantoa _tekoäly pilvessä_ -aiheisiin varten voit harkita [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) -opintopolun suorittamista.
# Sisältö
| | Lesson Link | PyTorch/Keras/TensorFlow | Lab |
| | Oppitunnin linkki | PyTorch/Keras/TensorFlow | Laboratorio |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [Kurssin aloitus](./lessons/0-course-setup/setup.md) | [Kehitysympäristön asennus](./lessons/0-course-setup/how-to-run.md) | |
| I | [**Johdatus tekoälyyn**](./lessons/1-Intro/README.md) | | |
| 01 | [Tekoälyn johdatus ja historia](./lessons/1-Intro/README.md) | - | - |
| 0 | [Kurssin alustus](./lessons/0-course-setup/setup.md) | [Asenna kehitysympäristösi](./lessons/0-course-setup/how-to-run.md) | |
| I | [**Johdanto tekoälyyn**](./lessons/1-Intro/README.md) | | |
| 01 | [Tekoälyn johdanto ja historia](./lessons/1-Intro/README.md) | - | - |
| II | **Symbolinen tekoäly** |
| 02 | [Tietojen esitys ja asiantuntijajärjestelmät](./lessons/2-Symbolic/README.md) | [Asiantuntijajärjestelmät](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konseptikartta](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**Johdatus neuroverkkoihin**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Muistio](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labra](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [Monikerroksinen perceptron ja oman kehysympäristön luominen](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Muistio](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labra](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [Johdatus kehyksiin (PyTorch/TensorFlow) ja ylioppiminen](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labra](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**Koneellinen näkö**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Tutustu koneelliseen näkön Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [Johdatus koneelliseen näkön. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Muistio](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labra](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [Konvoluutioverkot](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-rakenteet](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labra](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [Esikoulutetut verkot ja siirto-oppiminen](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Harjoitteluvinkkejä](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labra](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 02 | [Tietojen Esitys ja Eksperttijärjestelmät](./lessons/2-Symbolic/README.md) | [Eksperttijärjestelmät](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Käsitekaavio](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**Johdatus Neuroverkkoihin**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [Perceptroni](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [Monikerroksinen Perceptroni ja Oman Kehyksen Luominen](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [Johdatus Kehyksiin (PyTorch/TensorFlow) ja Ylisuorittamiseen](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**Koneen Näkö**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Tutustu Koneenäköön Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [Johdatus Koneen Näköön. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Muistikirja](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [Konvoluutio-Neuroverkot](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Arkkitehtuurit](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [Esikoulutetut Verkot ja Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Koulutusvinkkejä](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [Autoenkooderit ja VAE:t](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [Generatiiviset vastakkaisverkot & Taiteellinen tyylinsiirto](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [Objektintunnistus](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labra](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [Semanttinen segmentointi. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
| V | [**Luonnollisen kielen käsittely**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Tutustu luonnollisen kielen käsittelyyn Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [Tekstin esitys. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
| 14 | [Semanttiset sanavektorit. Word2Vec ja GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
| 15 | [Kielen mallintaminen. Oman upotuksen opettaminen](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labra](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [Takaisinkytketyt neuroverkot](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
| 17 | [Generatiiviset takaisinkytketyt verkot](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Labra](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 10 | [Generatiiviset Vastakkainasettelut ja Taiteellinen Tyyli-siirto](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [Objektintunnistus](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [Semanttinen Segmentointi. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
| V | [**Luonnollisen Kielen Käsittely**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Tutustu Luonnollisen Kielen Käsittelyyn Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [Tekstin Esitys. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
| 14 | [Semanttiset sanasaavutukset. Word2Vec ja GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
| 15 | [Kielimallinnus. Oman embeddausten koulutus](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [Toistuvat Neuroverkot](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
| 17 | [Generatiiviset Toistuvat Verkot](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [Transformerit. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
| 19 | [Nimettyjen entiteettien tunnistus](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labra](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [Laajat kielimallit, kehotteiden ohjelmointi ja muutaman näytteen tehtävät](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **Muut tekoälymenetelmät** || |
| 21 | [Geneettiset algoritmit](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Muistio](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [Syvä vahvistusoppiminen](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Labra](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [Moniagenttijärjestelmät](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **Tekoälyn etiikka** | | |
| 24 | [Tekoälyn etiikka ja vastuullinen tekoäly](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastuullisen tekoälyn periaatteet](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **Lisät** | | |
| 25 | [Monimodaaliset verkot, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Muistio](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
| 19 | [Nimetty Entiteettien Tunnistus](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [Suurten Kielimallien Ohjelmointi ja Few-Shot Tehtävät](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **Muut AI Tekniikat** || |
| 21 | [Geneettiset Algoritmit](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Muistikirja](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [Syvä Vahvistusoppiminen](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [Moniagenti-järjestelmät](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI Etiikka** | | |
| 24 | [AI Etiikka ja Vastuullinen AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastuullisen AI:n Periaatteet](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **Lisäosiot** | | |
| 25 | [Monimodaaliset Verkot, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Muistikirja](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## Jokainen oppitunti sisältää
* Esilukemateriaali
* Suoritettavat Jupyter-notebookit, jotka ovat usein kehykseen sidottuja (**PyTorch** tai **TensorFlow**). Suoritettavassa notebookissa on myös paljon teoreettista materiaalia, joten aiheen ymmärtämiseksi sinun tulee käydä läpi vähintään yksi notebookin versioista ( joko PyTorch tai TensorFlow).
* Joihinkin aiheisiin saatavilla olevat **labrat**, jotka antavat sinulle mahdollisuuden kokeilla oppimaasi käytännössä tietyn ongelman ratkaisemiseksi.
* Joissakin osioissa on linkkejä [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduuleihin, jotka käsittelevät aiheita.
* Ennakkolukemateriaali
* Suoritettavat Jupyter-muistikirjat, jotka usein ovat spesifisiä käytetylle kehikolle (**PyTorch** tai **TensorFlow**). Suoritettava muistikirja sisältää myös runsaasti teoreettista materiaalia, joten aiheen ymmärtämiseksi sinun tulee käydä vähintään yksi versio muistikirjasta (joko PyTorch tai TensorFlow).
* **Labratöitä** saatavilla joillekin aiheille, jotka antavat mahdollisuuden kokeilla oppimiasi asioita konkreettisessa ongelmassa.
* Joissakin osioissa on linkkejä [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduuleihin, jotka käsittelevät aiheeseen liittyviä teemoja.
## Aloittaminen
### 🎯 Uusi tekoälyssa? Aloita tästä!
### 🎯 Uusi AI:n parissa? Aloita tästä!
Jos olet täysin uusi tekoälyn parissa ja haluat nopeita, käytännön esimerkkejä, tutustu [**Aloittelijaystävällisiin Esimerkkeihin**](./examples/README.md)! Näitä ovat:
Jos olet täysin uusi AI-maailmassa ja haluat nopeita, käytännönläheisiä esimerkkejä, katso [**Helppokäyttöiset esimerkit**](./examples/README.md)! Näihin sisältyy:
- 🌟 **Hello AI World** - Ensimmäinen tekoälyohjelmasi (kuvion tunnistus)
- 🌟 **Hello AI World** - Ensimmäinen tekoälyohjelmasi (kuviotunnistus)
- 🧠 **Yksinkertainen neuroverkko** - Rakenna neuroverkko alusta alkaen
- 🖼️ **Kuvien luokittelija** - Luokittele kuvia yksityiskohtaisilla kommenteilla
- 💬 **Tekstin sentimentti** - Analysoi positiivinen/negatiivinen teksti
- 🖼️ **Kuvien luokittelu** - Luokittele kuvia yksityiskohtaisilla kommenteilla
- 💬 **Tekstin tunneanalyysi** - Analysoi positiivinen/negatiivinen teksti
Nämä esimerkit on suunniteltu auttamaan sinua ymmärtämään tekoälyn käsitteitä ennen kuin sukellat koko opetussuunnitelmaan.
Nämä esimerkit on suunniteltu auttamaan sinua ymmärtämään tekoälyn perusteita ennen kuin sukellat koko opetussuunnitelmaan.
### 📚 Koko opetussuunnitelman asetukset
### 📚 Koko opetussuunnitelman asennus
- Olemme laatineet [asennusoppaan](./lessons/0-course-setup/setup.md) auttamaan kehitysympäristösi pystyttämisessä.
- Opettajille olemme laatineet myös [opetussuunnitelman asennusoppaan](./lessons/0-course-setup/for-teachers.md)!
- Kuinka [suorittaa koodi VSCode- tai Codespace-ympäristössä](./lessons/0-course-setup/how-to-run.md)
- Olemme luoneet [asennustunnin](./lessons/0-course-setup/setup.md) auttamaan kehitysympäristösi pystyttämisessä. - Opettajille olemme laatineet myös [opetussuunnitelman asennustunnin](./lessons/0-course-setup/for-teachers.md)!
- Kuinka [suorittaa koodi VSCodessa tai Codespacessa](./lessons/0-course-setup/how-to-run.md)
Seuraa näitä vaiheita:
Noudata näitä ohjeita:
Forkkaa repositorio: Napsauta tämän sivun oikeassa yläkulmassa olevaa "Fork" painiketta.
Forkkaa repositorio: Klikkaa sivun oikeasta yläkulmasta "Fork"-painiketta.
Kloonaa repositorio: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Älä unohda tähdätä (🌟) tätä repositoriota, jotta löydät sen helpommin myöhemmin.
Älä unohda tähdätä (🌟) tätä reposiota, jotta löydät sen helpommin myöhemmin.
## Tapaa muita oppijoita
Liity [viralliselle AI Discord -palvelimellemme](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) kohtaat ja verkostoidu muiden tämän kurssin osallistujien kanssa ja saat tukea.
Liity viralliselle AI-Discord-palvelimellemme osoitteessa [https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) tavata ja verkostoitua tämän kurssin muiden oppijoiden kanssa sekä saadaksesi tukea.
Jos sinulla on palautetta tuotteesta tai kysymyksiä rakentamisen aikana, käy [Azure AI Foundry Developer Forumissa](https://aka.ms/foundry/forum)
## Kyselyt
## Testit
> **Huomautus kyselyistä**: Kaikki kyselyt ovat kyselyapp-hakemistossa polussa etc\quiz-app tai [verkossa täällä](https://ff-quizzes.netlify.app/). Niihin on linkkejä osioissa, kyselyappia voi ajaa paikallisesti tai ottaa käyttöön Azureen; seuraa ohjeita `quiz-app`-kansiossa. Kyselyjä ollaan pikku hiljaa lokalisoimassa.
> **Huomio testeistä**: Kaikki testit löytyvät kansiosta Quiz-app polussa etc\quiz-app, tai [verkkoversiona tästä](https://ff-quizzes.netlify.app/) Ne on linkitetty oppituntien sisältä, testiappia voi käyttää paikallisesti tai ottaa käyttöön Azureen; noudata `quiz-app`-kansion ohjeita. Testit ovat asteittain saatavilla myös suomeksi.
## Apua kaivataan
## Tarvitsemme apua
Onko sinulla ehdotuksia tai oletko löytänyt kirjoitus- tai koodivirheitä? Avaa issue tai tee pull request.
Onko sinulla ehdotuksia tai oletko löytänyt kirjoitus- tai koodivirheitä? Luo issue tai tee pull request.
## Erityiskiitokset
* **✍️ Pääkirjoittaja:** [Dmitry Soshnikov](http://soshnikov.com), tohtori
* **🔥 Toimittaja:** [Jen Looper](https://twitter.com/jenlooper), tohtori
* **🎨 Muistiinpanokuvittaja:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ Kyselyjen luoja:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **✍️ Pääkirjoittaja:** [Dmitry Soshnikov](http://soshnikov.com), FM
* **🔥 Toimittaja:** [Jen Looper](https://twitter.com/jenlooper), FM
* **🎨 Sketchnote-kuvittaja:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ Testien laatija:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 Keskeiset kontribuuttorit:** [Evgenii Pishchik](https://github.com/Pe4enIks)
## Muut opetussuunnitelmat
Tiimimme tuottaa muitakin opetussuunnitelmia! Tutustu:
Tiimimme tuottaa myös muita opetussuunnitelmia! Tutustu niihin:
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
[![LangChain4j alkeisopas](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
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[![LangChain alkeisopas](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
---
### Azure / Edge / MCP / Agentit
[![AZD alkeisopas](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Edge AI alkeisopas](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![MCP alkeisopas](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
[![AI Agentit alkeisopas](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
---
### Generatiivinen tekoäly -sarja
[![Generatiivinen tekoäly alkeisopas](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Generatiivinen tekoäly (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
[![Generatiivinen tekoäly (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
[![Generatiivinen tekoäly (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
### Generatiivisen tekoälyn sarja
[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
---
### Ydinopetus
[![Koneoppiminen alkeisopas](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Data science alkeisopas](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![Tekoäly alkeisopas](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
[![Kyberturvallisuus alkeisopas](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
[![Web-kehitys alkeisopas](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
[![IoT alkeisopas](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
[![XR-kehitys alkeisopas](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
### Ydinoppiminen
[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
---
### Copilot-sarja
[![Copilot AI-pariohjelmointiin](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
[![Copilot C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
[![Copilot-seikkailu](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
## Hanki apua
## Apua saatavilla
Jos jumitut tai sinulla on kysyttävää tekoälysovellusten rakentamisesta, liity muiden oppijoiden ja kokeneiden kehittäjien keskusteluihin MCP:stä. Se on tukeva yhteisö, jossa kysymykset ovat tervetulleita ja tieto jaetaan vapaasti.
Jos juutut tai sinulla on kysyttävää AI-sovellusten rakentamisesta, liity muiden oppijoiden ja kokeneiden kehittäjien keskusteluun MCP:n tiimoilta. Tämä on kannustava yhteisö, jossa kysymyksiä saa esittää ja tietoa jaetaan vapaasti.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
Jos sinulla on palautetta tuotteesta tai virheitä rakennuksen aikana, käy:
Jos sinulla on palautetta tuotteesta tai virheitä rakentamisen aikana, käy osoitteessa:
[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
@ -230,5 +230,5 @@ Jos sinulla on palautetta tuotteesta tai virheitä rakennuksen aikana, käy:
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Vastuuvapauslauseke**:
Tämä asiakirja on käännetty käyttäen tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, otathan huomioon, että automaattiset käännökset saattavat sisältää virheitä tai epätarkkuuksia. Alkuperäinen asiakirja sen alkuperäiskielellä on virallinen lähde. Tärkeissä asioissa suositellaan ammattilaisen tekemää käännöstä. Emme ole vastuussa tämän käännöksen käytöstä aiheutuvista väärinymmärryksistä tai tulkinnoista.
Tämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, huomioithan, että automaattikäännöksissä saattaa esiintyä virheitä tai epätarkkuuksia. Alkuperäistä asiakirjaa sen alkuperäiskielellä tulee pitää virallisena lähteenä. Tärkeissä asioissa suositellaan ammattimaista ihmiskäännöstä. Emme ota vastuuta tämän käännöksen käytöstä johtuvista väärinymmärryksistä tai tulkinnoista.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

4
translations/nl/.co-op-translator.json
View File

@ -6,8 +6,8 @@
"language_code": "nl"
},
"README.md": {
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T10:15:30+00:00",
"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
"translation_date": "2026-04-06T21:00:00+00:00",
"source_file": "README.md",
"language_code": "nl"
},

157
translations/nl/README.md
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@ -16,9 +16,9 @@
|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| AI voor Beginners - _Sketchnote door [@girlie_mac](https://twitter.com/girlie_mac)_ |
| AI Voor Beginners - _Sketchnote door [@girlie_mac](https://twitter.com/girlie_mac)_ |
Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken, 24-lessen curriculum! Het bevat praktische lessen, quizzen en labs. Het curriculum is beginnersvriendelijk en behandelt tools zoals TensorFlow en PyTorch, evenals ethiek in AI.
Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weekse, 24-lessen durende curriculum! Het bevat praktische lessen, quizzen en labs. Het curriculum is geschikt voor beginners en behandelt tools zoals TensorFlow en PyTorch, evenals ethiek in AI.
### 🌐 Meertalige Ondersteuning
@ -26,11 +26,11 @@ Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken, 24-les
#### Ondersteund via GitHub Action (Geautomatiseerd & Altijd Up-to-Date)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Arabisch](../ar/README.md) | [Bengaals](../bn/README.md) | [Bulgaars](../bg/README.md) | [Birmese (Myanmar)](../my/README.md) | [Chinees (Vereenvoudigd)](../zh-CN/README.md) | [Chinees (Traditioneel, Hong Kong)](../zh-HK/README.md) | [Chinees (Traditioneel, Macau)](../zh-MO/README.md) | [Chinees (Traditioneel, Taiwan)](../zh-TW/README.md) | [Kroatisch](../hr/README.md) | [Tsjechisch](../cs/README.md) | [Deens](../da/README.md) | [Nederlands](./README.md) | [Estisch](../et/README.md) | [Fins](../fi/README.md) | [Frans](../fr/README.md) | [Duits](../de/README.md) | [Grieks](../el/README.md) | [Hebreeuws](../he/README.md) | [Hindi](../hi/README.md) | [Hongaars](../hu/README.md) | [Indonesisch](../id/README.md) | [Italiaans](../it/README.md) | [Japans](../ja/README.md) | [Kannada](../kn/README.md) | [Koreaans](../ko/README.md) | [Litouws](../lt/README.md) | [Maleis](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalees](../ne/README.md) | [Nigeriaans Pidgin](../pcm/README.md) | [Noors](../no/README.md) | [Perzisch (Farsi)](../fa/README.md) | [Pools](../pl/README.md) | [Portugees (Brazilië)](../pt-BR/README.md) | [Portugees (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roemeens](../ro/README.md) | [Russisch](../ru/README.md) | [Servisch (Cyrillisch)](../sr/README.md) | [Slowaaks](../sk/README.md) | [Sloveens](../sl/README.md) | [Spaans](../es/README.md) | [Swahili](../sw/README.md) | [Zweeds](../sv/README.md) | [Tagalog (Filipijns)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turks](../tr/README.md) | [Oekraïens](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamees](../vi/README.md)
[Arabisch](../ar/README.md) | [Bengaals](../bn/README.md) | [Bulgaars](../bg/README.md) | [Birmees (Myanmar)](../my/README.md) | [Chinees (Vereenvoudigd)](../zh-CN/README.md) | [Chinees (Traditioneel, Hong Kong)](../zh-HK/README.md) | [Chinees (Traditioneel, Macau)](../zh-MO/README.md) | [Chinees (Traditioneel, Taiwan)](../zh-TW/README.md) | [Kroatisch](../hr/README.md) | [Tsjechisch](../cs/README.md) | [Deens](../da/README.md) | [Nederlands](./README.md) | [Ests](../et/README.md) | [Fins](../fi/README.md) | [Frans](../fr/README.md) | [Duits](../de/README.md) | [Grieks](../el/README.md) | [Hebreeuws](../he/README.md) | [Hindi](../hi/README.md) | [Hongaars](../hu/README.md) | [Indonesisch](../id/README.md) | [Italiaans](../it/README.md) | [Japans](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Koreaans](../ko/README.md) | [Litouws](../lt/README.md) | [Maleis](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalees](../ne/README.md) | [Nigeriaans Pidgin](../pcm/README.md) | [Noors](../no/README.md) | [Perzisch (Farsi)](../fa/README.md) | [Pools](../pl/README.md) | [Portugees (Brazilië)](../pt-BR/README.md) | [Portugees (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roemeens](../ro/README.md) | [Russisch](../ru/README.md) | [Servisch (Cyrillisch)](../sr/README.md) | [Slowaaks](../sk/README.md) | [Sloveens](../sl/README.md) | [Spaans](../es/README.md) | [Swahili](../sw/README.md) | [Zweeds](../sv/README.md) | [Tagalog (Filipijns)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thais](../th/README.md) | [Turks](../tr/README.md) | [ Oekraïens](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamees](../vi/README.md)
> **Liever lokaal clonen?**
> **Lieber lokaal klonen?**
>
> Deze repository bevat 50+ taalvertalingen die de downloadgrootte aanzienlijk vergroten. Om zonder vertalingen te clonen, gebruik sparse checkout:
> Deze repository bevat 50+ vertalingen wat de downloadgrootte aanzienlijk vergroot. Om zonder vertalingen te klonen, gebruik sparse checkout:
>
> **Bash / macOS / Linux:**
> ```bash
@ -49,7 +49,7 @@ Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken, 24-les
> Dit geeft je alles wat je nodig hebt om de cursus te voltooien met een veel snellere download.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**Als je extra vertaaltalen wilt laten ondersteunen, staan deze vermeld [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**Als je extra vertalingen wenst, worden de ondersteunde talen [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) vermeld**
## Word lid van de community
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
@ -60,109 +60,108 @@ Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken, 24-les
In dit curriculum leer je:
* Verschillende benaderingen van Kunstmatige Intelligentie, inclusief de "oude" symbolische benadering met **Kennisrepresentatie** en redeneren ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neurale Netwerken** en **Diep Leren**, die centraal staan in moderne AI. We zullen de concepten achter deze belangrijke onderwerpen illustreren met code in twee van de populairste frameworks - [TensorFlow](http://Tensorflow.org) en [PyTorch](http://pytorch.org).
* **Neurale Architecturen** voor het werken met afbeeldingen en tekst. We behandelen recente modellen, maar het kan wat minder actueel zijn met de allerlaatste ontwikkelingen.
* Minder populaire AI-benaderingen, zoals **Genetische Algoritmen** en **Multi-Agentsystemen**.
* Verschillende benaderingen van Kunstmatige Intelligentie, waaronder de "goede oude" symbolische benadering met **Kennisrepresentatie** en redeneren ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neurale Netwerken** en **Diep Leren**, die de kern vormen van de moderne AI. We zullen de concepten achter deze belangrijke onderwerpen illustreren met code in twee van de populairste frameworks - [TensorFlow](http://Tensorflow.org) en [PyTorch](http://pytorch.org).
* **Neurale Architecturen** voor het werken met afbeeldingen en tekst. We behandelen recente modellen, maar mogelijk niet de allernieuwste.
* Minder populaire AI-benaderingen, zoals **Genetische Algoritmen** en **Multi-Agent Systemen**.
Wat we niet behandelen in dit curriculum:
> [Vind alle aanvullende bronnen voor deze cursus in onze Microsoft Learn collectie](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
> [Vind alle extra bronnen voor deze cursus in onze Microsoft Learn-collectie](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* Business cases voor het gebruik van **AI in het bedrijfsleven**. Overweeg het volgen van de leerroute [Introductie tot AI voor zakelijke gebruikers](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) op Microsoft Learn, of de [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ontwikkeld in samenwerking met [INSEAD](https://www.insead.edu/).
* **Klassieke Machine Learning**, dat goed wordt beschreven in onze [Machine Learning voor Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
* Praktische AI-toepassingen die zijn gebouwd met **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Hiervoor raden we aan te beginnen met modules op Microsoft Learn voor [computer vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natuurlijke taalverwerking](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatieve AI met Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** en andere.
* Specifieke ML **Cloud Frameworks**, zoals [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), of [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overweeg het gebruik van de leerpaden [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) en [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
* **Conversational AI** en **Chatbots**. Er is een aparte leerroute [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), en je kunt ook verwijzen naar [deze blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) voor meer details.
* **Diepe wiskunde** achter diep leren. Hiervoor raden we [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) aan door Ian Goodfellow, Yoshua Bengio en Aaron Courville, dat ook online beschikbaar is op [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
* Businesscases voor het gebruik van **AI in het Bedrijfsleven**. Overweeg het volgen van het leerpad [Introductie tot AI voor zakelijke gebruikers](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) op Microsoft Learn, of [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ontwikkeld in samenwerking met [INSEAD](https://www.insead.edu/).
* **Klassieke Machine Learning**, die goed beschreven is in ons [Machine Learning voor Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
* Praktische AI-toepassingen gebouwd met **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Hiervoor raden we aan te starten met de modules van Microsoft Learn voor [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI met Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** en andere.
* Specifieke ML **Cloud Frameworks**, zoals [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), of [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overweeg het gebruik van de leerpaden [Bouw en beheer machine learning oplossingen met Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) en [Bouw en beheer machine learning oplossingen met Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
* **Conversational AI** en **Chatbots**. Er is een apart leerpad [Maak conversational AI-oplossingen](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), en je kunt ook [deze blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) raadplegen voor meer details.
* **Diepe wiskunde** achter diep leren. Hiervoor raden wij [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) aan, door Ian Goodfellow, Yoshua Bengio en Aaron Courville, die ook online beschikbaar is op [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
Voor een zachte introductie tot _AI in de Cloud_-onderwerpen kun je overwegen de leerroute [Aan de slag met kunstmatige intelligentie op Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) te volgen.
Voor een zachte introductie in _AI in de Cloud_ onderwerpen kun je overwegen het leerpad [Aan de slag met kunstmatige intelligentie op Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) te volgen.
# Inhoud
| | Leslink | PyTorch/Keras/TensorFlow | Lab |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [Cursus Instellen](./lessons/0-course-setup/setup.md) | [Stel je ontwikkelomgeving in](./lessons/0-course-setup/how-to-run.md) | |
| 0 | [Cursussetup](./lessons/0-course-setup/setup.md) | [Zet je ontwikkelomgeving op](./lessons/0-course-setup/how-to-run.md) | |
| I | [**Introductie tot AI**](./lessons/1-Intro/README.md) | | |
| 01 | [Introductie en Geschiedenis van AI](./lessons/1-Intro/README.md) | - | - |
| II | **Symbolische AI** |
| 02 | [Kennisrepresentatie en Expert Systemen](./lessons/2-Symbolic/README.md) | [Expert Systemen](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Conceptgrafiek](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**Inleiding tot Neurale Netwerken**](./lessons/3-NeuralNetworks/README.md) |||
| III | [**Introductie tot Neurale Netwerken**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notitieboek](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [Meerdere Lagen Perceptron en het Creëren van ons eigen Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notitieboek](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 04 | [Multi-Laagse Perceptron en het creëren van ons eigen Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notitieboek](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [Introductie tot Frameworks (PyTorch/TensorFlow) en Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Verken Computer Vision op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [Introductie tot Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notitieboek](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [Convolutionele Neurale Netwerken](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architecturen](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [Voorgetrainde Netwerken en Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) en [Trainings-Trucs](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [Auto-encoders en VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [Generatieve Adversariële Netwerken & Artistieke Stijl Transfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 08 | [Voorgetrainde Netwerken en Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) en [Trainings Trucs](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [Autoencoders en VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [Generatieve Adversarial Networks & Artistieke Stijltransfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [Objectdetectie](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [Semantische Segmentatie. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
| V | [**Natuurlijke Taalverwerking**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Verken Natuurlijke Taalverwerking op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [Tekstreprentatie. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
| 14 | [Semantische woordembeddings. Word2Vec en GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
| 15 | [Taalmodellering. Je eigen embeddings trainen](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 14 | [Semantische woordembedding. Word2Vec en GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
| 15 | [Taalmodellering. Het trainen van je eigen embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [Recurrente Neurale Netwerken](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
| 17 | [Generatieve Recurrente Netwerken](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
| 19 | [Named Entity Recognition](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [Grote taalmodellen, promptprogrammering en few-shot taken](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| 20 | [Grote Taalmodellen, Prompt Programming en Few-Shot Taken](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **Andere AI-Technieken** || |
| 21 | [Genetische Algoritmen](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notitieboek](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [Diepe Versterkingsleer](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [Multi-Agentsystemen](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| 22 | [Diep Versterkend Leren](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [Multi-Agent Systemen](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI Ethiek** | | |
| 24 | [AI Ethiek en Verantwoorde AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principes van Verantwoorde AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| 24 | [AI Ethiek en Verantwoordelijke AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principes voor Verantwoordelijke AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **Extra's** | | |
| 25 | [Multi-Modal Netwerken, CLIP en VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notitieboek](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
| 25 | [Multi-modale Netwerken, CLIP en VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notitieboek](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## Elke les bevat
* Materiaal om vooraf te lezen
* Uitvoerbare Jupyter Notebooks, die vaak specifiek zijn voor het framework (**PyTorch** of **TensorFlow**). Het uitvoerbare notitieboek bevat ook veel theoretisch materiaal, dus om het onderwerp te begrijpen moet je minstens één versie van het notitieboek doornemen (ofwel PyTorch of TensorFlow).
* **Labs** beschikbaar voor sommige onderwerpen, waarmee je de gelegenheid krijgt om het geleerde materiaal toe te passen op een specifiek probleem.
* Voorleesmateriaal
* Uitvoerbare Jupyter Notebooks, die vaak specifiek zijn voor het framework (**PyTorch** of **TensorFlow**). De uitvoerbare notebook bevat ook veel theoretisch materiaal, dus om het onderwerp te begrijpen moet je minstens één versie van de notebook doornemen (ofwel PyTorch of TensorFlow).
* **Labs** beschikbaar voor sommige onderwerpen, die je de mogelijkheid bieden om het geleerde materiaal toe te passen op een specifiek probleem.
* Sommige secties bevatten links naar [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules die gerelateerde onderwerpen behandelen.
## Aan de slag
### 🎯 Nieuw met AI? Begin Hier!
### 🎯 Nieuw in AI? Begin hier!
Als je helemaal nieuw bent met AI en snelle, praktische voorbeelden wilt, bekijk dan onze [**Beginnervriendelijke Voorbeelden**](./examples/README.md)! Deze omvatten:
Als je volledig nieuw bent in AI en snel praktische voorbeelden wilt, bekijk dan onze [**Beginner-Vriendelijke Voorbeelden**](./examples/README.md)! Deze omvatten:
- 🌟 **Hallo AI Wereld** - Je eerste AI-programma (patroonherkenning)
- 🌟 **Hello AI World** - Je eerste AI-programma (patroonherkenning)
- 🧠 **Eenvoudig Neuraal Netwerk** - Bouw een neuraal netwerk vanaf nul
- 🖼️ **Beeldclassificator** - Classificeer afbeeldingen met gedetailleerde opmerkingen
- 💬 **Tekstsentiment** - Analyseer positieve/negatieve tekst
- 🖼️ **Beeldclassificatie** - Classificeer afbeeldingen met gedetailleerde opmerkingen
- 💬 **Tekst Sentiment** - Analyseer positieve/negatieve tekst
Deze voorbeelden zijn bedoeld om je te helpen AI-concepten te begrijpen voordat je in het volledige curriculum duikt.
Deze voorbeelden zijn ontworpen om je AI-concepten te laten begrijpen voordat je in het volledige curriculum duikt.
### 📚 Volledige Curriculum Setup
- We hebben een [setup-les](./lessons/0-course-setup/setup.md) gemaakt om je te helpen je ontwikkelomgeving in te stellen.
- Voor docenten hebben we ook een [curriculum setup-les](./lessons/0-course-setup/for-teachers.md) gemaakt!
- Hoe de code uit te voeren in VSCode of een Codespace: [handleiding](./lessons/0-course-setup/how-to-run.md)
- We hebben een [setup-les](./lessons/0-course-setup/setup.md) gemaakt om je te helpen bij het opzetten van je ontwikkelomgeving. - Voor docenten hebben we ook een [curriculum setup-les](./lessons/0-course-setup/for-teachers.md) gemaakt!
- Hoe [de code te draaien in VSCode of een Codespace](./lessons/0-course-setup/how-to-run.md)
Volg deze stappen:
Fork de Repository: Klik op de knop "Fork" rechtsboven op deze pagina.
Fork de Repositorie: Klik op de knop "Fork" rechtsboven op deze pagina.
Clone de Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Clone de Repositorie: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Vergeet niet deze repo een ster (🌟) te geven zodat je hem later makkelijker terugvindt.
Vergeet niet deze repo te voorzien van een ster (🌟) zodat je hem later makkelijker terugvindt.
## Ontmoet andere Leerlingen
Doe mee aan onze [officiële AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) om andere leerlingen die deze cursus volgen te ontmoeten, netwerken en ondersteuning te krijgen.
Word lid van onze [officiële AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) om andere leerlingen die deze cursus volgen te ontmoeten en netwerken, en om ondersteuning te krijgen.
Als je productfeedback of vragen hebt tijdens het bouwen, bezoek dan ons [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum).
Als je productfeedback of vragen hebt tijdens het bouwen, bezoek dan ons [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
## Quizzen
## Quizzen
> **Een noot over quizzen**: Alle quizzen bevinden zich in de Quiz-app map onder etc\quiz-app, of [Online Hier](https://ff-quizzes.netlify.app/). Ze zijn gekoppeld vanuit de lessen. De quiz-app kan lokaal draaien of worden gedeployed naar Azure; volg de instructies in de `quiz-app` map. Ze worden geleidelijk gelokaliseerd.
> **Een opmerking over quizzen**: Alle quizzen bevinden zich in de Quiz-app map in etc\quiz-app, of [Online Hier](https://ff-quizzes.netlify.app/). Ze zijn gelinkt vanuit de lessen; de quiz-app kan lokaal worden uitgevoerd of worden ingezet op Azure; volg de instructies in de `quiz-app` map. Ze worden geleidelijk gelokaliseerd.
## Hulp Gezocht
## Hulp Gewenst
Heb je suggesties of fouten in spelling of code gevonden? Maak dan een issue aan of een pull request.
Heb je suggesties gevonden of spelling- of codefouten ontdekt? Maak een issue aan of doe een pull request.
## Speciale Dank
@ -172,53 +171,53 @@ Heb je suggesties of fouten in spelling of code gevonden? Maak dan een issue aan
* **✅ Quiz Maker:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 Kernbijdragers:** [Evgenii Pishchik](https://github.com/Pe4enIks)
## Andere Curriculum
## Andere Curricula
Ons team produceert andere curricula! Bekijk:
Ons team produceert ook andere curricula! Bekijk:
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
[![LangChain4j voor Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
[![LangChain.js voor Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![LangChain voor Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
---
### Azure / Edge / MCP / Agents
[![AZD voor Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Edge AI voor Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![MCP voor Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
[![AI Agents voor Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
---
### Generatieve AI Serie
[![Generative AI voor Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
### Generatieve AI-serie
[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
---
### Kern Leren
[![ML voor Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Datawetenschap voor Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![AI voor Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
[![Cybersecurity voor Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
[![Webontwikkeling voor Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
[![IoT voor Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
[![XR Ontwikkeling voor Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
### Kernleren
[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
---
### Copilot Serie
[![Copilot voor AI Paarprogrammering](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
[![Copilot voor C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
[![Copilot Avontuur](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
### Copilot-serie
[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
## Hulp Krijgen
## Hulp krijgen
Als je vastloopt of vragen hebt over het bouwen van AI-apps, sluit je aan bij mede-leerlingen en ervaren ontwikkelaars in discussies over MCP. Het is een ondersteunende gemeenschap waar vragen welkom zijn en kennis vrij gedeeld wordt.
Als je vastloopt of vragen hebt over het bouwen van AI-apps. Doe mee met mede-lerenden en ervaren ontwikkelaars in discussies over MCP. Het is een ondersteunende gemeenschap waar vragen welkom zijn en kennis vrijelijk wordt gedeeld.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
@ -229,6 +228,6 @@ Als je productfeedback of fouten ondervindt tijdens het bouwen, bezoek dan:
---
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Disclaimer**:
Dit document is vertaald met behulp van de AI-vertalingsdienst [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u er rekening mee te houden dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in de oorspronkelijke taal moet als gezaghebbende bron worden beschouwd. Voor cruciale informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor eventuele misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.
**Disclaimer**:
Dit document is vertaald met behulp van de AI vertaaldienst [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient men zich ervan bewust te zijn dat automatische vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in de oorspronkelijke taal moet als de gezaghebbende bron worden beschouwd. Voor cruciale informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor enige misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

4
translations/no/.co-op-translator.json
View File

@ -6,8 +6,8 @@
"language_code": "no"
},
"README.md": {
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T10:12:52+00:00",
"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
"translation_date": "2026-04-06T20:56:32+00:00",
"source_file": "README.md",
"language_code": "no"
},

155
translations/no/README.md
View File

@ -12,24 +12,25 @@
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# Kunstig intelligens for nybegynnere - En læreplan
# Kunstig intelligens for nybegynnere - Et læreplan
|![Sketchnote av @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| AI For Beginners - _Sketchnote av [@girlie_mac](https://twitter.com/girlie_mac)_ |
Utforsk verden av **kunstig intelligens** (AI) med vår 12-ukers, 24-leksjons læreplan! Den inkluderer praktiske leksjoner, quizzer og laboratorier. Læreplanen er nybegynnervennlig og dekker verktøy som TensorFlow og PyTorch, samt etikk innen AI
Utforsk verden av **kunstig intelligens** (KI) med vår 12-ukers, 24-leksjons læreplan! Den inkluderer praktiske leksjoner, quizzer og laboratorier. Læreplanen er nybegynnervennlig og dekker verktøy som TensorFlow og PyTorch, samt etikk innen KI.
### 🌐 Støtte for flere språk
#### Støttet via GitHub Action (Automatisk & Alltid Oppdatert)
### 🌐 Flerspråklig støtte
#### Støttet via GitHub Action (Automatisert & Alltid oppdatert)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](./README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](./README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
> **Foretrekker du å klone lokalt?**
>
> Dette repositoriet inkluderer 50+ språköversettelser som betydelig øker nedlastingsstørrelsen. For å klone uten oversettelser, bruk sparse checkout:
> Dette depotet inneholder 50+ språköversettelser som betydelig øker nedlastningsstørrelsen. For å klone uten oversettelser, bruk sparsom utsjekking:
>
> **Bash / macOS / Linux:**
> ```bash
@ -45,10 +46,10 @@ Utforsk verden av **kunstig intelligens** (AI) med vår 12-ukers, 24-leksjons l
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> Dette gir deg alt du trenger for å fullføre kurset med en mye raskere nedlasting.
> Dette gir deg alt du trenger for å fullføre kurset med mye raskere nedlasting.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**Hvis du ønsker at flere oversettelsesspråk skal støttes, er de listet [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**Hvis du ønsker å få støtte for flere oversettelsesspråk, er disse listet opp [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## Bli med i fellesskapet
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
@ -59,114 +60,114 @@ Utforsk verden av **kunstig intelligens** (AI) med vår 12-ukers, 24-leksjons l
I denne læreplanen vil du lære:
* Ulike tilnærminger til kunstig intelligens, inkludert den "gode gamle" symbolske tilnærmingen med **Kunnskapsrepresentasjon** og resonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neurale nettverk** og **dyp læring**, som er kjernen i moderne AI. Vi vil illustrere konseptene bak disse viktige temaene ved hjelp av kode i to av de mest populære rammeverkene - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org).
* **Nevrale arkitekturer** for arbeid med bilder og tekst. Vi vil dekke nyere modeller, men kan være noe mangelfulle på det aller nyeste innen feltet.
* Mindre populære AI-tilnærminger, som **genetiske algoritmer** og **multi-agent-systemer**.
* Ulike tilnærminger til kunstig intelligens, inkludert den «gode gamle» symbolske tilnærmingen med **kunnskapsrepresentasjon** og resonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Nevrale nettverk** og **dyplæring**, som er kjernen i moderne KI. Vi vil illustrere konseptene bak disse viktige emnene med kode i to av de mest populære rammeverkene - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org).
* **Nevrale arkitekturer** for å jobbe med bilder og tekst. Vi vil dekke nyere modeller, men kan være litt mangelfulle på toppmoderne.
* Mindre populære KI-tilnærminger, som **genetiske algoritmer** og **multi-agent systemer**.
Hva vi ikke dekker i denne læreplanen:
Hva vi ikke vil dekke i denne læreplanen:
> [Finn alle ekstra ressurser for dette kurset i vår Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* Forretningscase for bruk av **AI i næringslivet**. Vurder å ta [Introduksjon til AI for forretningsbrukere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringsvei på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utviklet i samarbeid med [INSEAD](https://www.insead.edu/).
* **Klassisk maskinlæring**, som er godt beskrevet i vår [Maskinlæring for nybegynnere Læreplan](http://github.com/Microsoft/ML-for-Beginners).
* Praktiske AI-applikasjoner bygget med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dette anbefaler vi at du starter med moduler fra Microsoft Learn for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre.
* Spesifikke ML **sky-rammeverk**, som [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Vurder å bruke [Bygg og drift maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Bygg og drift maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) læringsveier.
* **Samtale-AI** og **chatbots**. Det finnes en egen [Lag samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringsvei, og du kan også referere til [denne bloggposten](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mer detaljer.
* Forretningssaker for bruk av **KI i næringslivet**. Vurder å ta [Introduksjon til KI for forretningsbrukere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringssti på Microsoft Learn, eller [KI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utviklet i samarbeid med [INSEAD](https://www.insead.edu/).
* **Klassisk maskinlæring**, som er godt beskrevet i vår [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
* Praktiske KI-applikasjoner bygget med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dette anbefaler vi at du begynner med Microsoft Learn-moduler for [syn](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ KI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre.
* Spesifikke ML **sky-rammeverk**, som [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Vurder å bruke læringsstiene [Bygg og drift maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Bygg og drift maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
* **Samtale-KI** og **chatboter**. Det finnes en egen læringssti [Lag samtale-KI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), og du kan også se til [dette blogginnlegget](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mer detalj.
* **Dyp matematikk** bak dyp læring. For dette anbefaler vi [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) av Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også er tilgjengelig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
For en mild introduksjon til emner innen _AI i skyen_ kan du vurdere å ta [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringsvei.
For en skånsom introduksjon til _KI i skyen_-emner kan du vurdere å ta [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringssti.
# Innhold
| | Lekjson Link | PyTorch/Keras/TensorFlow | Lab |
| | Lekasjonslenke | PyTorch/Keras/TensorFlow | Lab |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [Kursoppsett](./lessons/0-course-setup/setup.md) | [Sett opp utviklingsmiljøet ditt](./lessons/0-course-setup/how-to-run.md) | |
| I | [**Introduksjon til AI**](./lessons/1-Intro/README.md) | | |
| 01 | [Introduksjon og historie om AI](./lessons/1-Intro/README.md) | - | - |
| II | **Symbolsk AI** |
| 0 | [Oppsett av kurs](./lessons/0-course-setup/setup.md) | [Sett opp utviklingsmiljøet ditt](./lessons/0-course-setup/how-to-run.md) | |
| I | [**Introduksjon til KI**](./lessons/1-Intro/README.md) | | |
| 01 | [Introduksjon og historie om KI](./lessons/1-Intro/README.md) | - | - |
| II | **Symbolsk KI** |
| 02 | [Kunnskapsrepresentasjon og Ekspertsystemer](./lessons/2-Symbolic/README.md) | [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konseptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**Introduksjon til Nevrale Nettverk**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notatbok](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [Multi-lags Perceptron og Lage vårt eget Rammeverk](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notatbok](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [Introduksjon til Rammeverk (PyTorch/TensorFlow) og Overtilpasning](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**Datamaskinsyn**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Utforsk Datamaskinsyn på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [Introduksjon til Datamaskinsyn. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notatbok](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorium](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [Konvolusjonsnevrale Nettverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorium](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [Forhåndstrente Nettverk og Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) og [Treningstriks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [Autoenkodere og VAEer](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [Generative Adversarial Networks & Kunstnerisk Stiloverføring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [Objektdeteksjon](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorium](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [Semantisk Segmentering. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
| V | [**Naturlig Språkbehandling**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Utforsk Naturlig Språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| III | [**Introduksjon til nevrale nettverk**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notatbok](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [Multi-lags Perceptron og å lage eget rammeverk](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notatbok](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [Introduksjon til rammeverk (PyTorch/TensorFlow) og overtilpasning](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**Datamaskinsyn**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Utforsk datamaskinsyn på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [Introduksjon til datamaskinsyn. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notatbok](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [Konvolusjonelle nevrale nettverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [Fortrente nettverk og overføringslæring](./lessons/4-ComputerVision/08-TransferLearning/README.md) og [Treningstips](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [Autoenkodere og VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [Generative adversariske nettverk og kunstnerisk stiloverføring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [Objektdeteksjon](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [Semantisk segmentering. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
| V | [**Naturlig språkbehandling**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Utforsk naturlig språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [Tekstreprensentasjon. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
| 14 | [Semantiske ordinnbeddinger. Word2Vec og GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
| 15 | [Språkmodellering. Trene egne innbeddinger](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratorium](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [Rekurrente Nevrale Nettverk](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
| 17 | [Generative Rekurrente Nettverk](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratorium](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [Transformere. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
| 19 | [Navngitt Entitetsgjenkjenning](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorium](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [Store Språkmodeller, Promptprogrammering og Få-Skjotts Oppgaver](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| 14 | [Semantiske word embeddings. Word2Vec og GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
| 15 | [Språkmodellering. Trening av egne embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [Rekurrente nevrale nettverk](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
| 17 | [Generative rekurrente nettverk](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
| 19 | [Navngitt entitetsgjenkjenning](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [Store språkmodeller, Prompt-programmering og få-skudds oppgaver](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **Andre AI-teknikker** || |
| 21 | [Genetiske Algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notatbok](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [Dyp Forsterkningslæring](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratorium](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [Multi-Agent Systemer](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| 21 | [Genetiske algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notatbok](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [Dyp forsterkende læring](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [Multi-agent systemer](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI-etikk** | | |
| 24 | [AI-etikk og Ansvarlig AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsipper for Ansvarlig AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| 24 | [AI-etikk og ansvarlig AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsipper for ansvarlig AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **Ekstra** | | |
| 25 | [Multi-modale Nettverk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notatbok](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
| 25 | [Multi-modale nettverk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notatbok](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## Hver leksjon inneholder
* Forhåndslesningsmateriell
* Kjørbare Jupyter Notatbøker, som ofte er spesifikke for rammeverket (**PyTorch** eller **TensorFlow**). Den kjørbare notatboken inneholder også mye teoretisk materiell, så for å forstå emnet må du gå gjennom minst én versjon av notatboken (enten PyTorch eller TensorFlow).
* **Laboratorier** tilgjengelig for noen emner, som gir deg mulighet til å prøve å anvende materialet du har lært på et spesifikt problem.
* Forhåndslesningsmateriale
* Kjørbare Jupyter Notebooks, som ofte er spesifikke for rammeverket (**PyTorch** eller **TensorFlow**). Den kjørbare notatboken inneholder også mye teoretisk materiale, så for å forstå emnet må du gå gjennom minst én versjon av notatboken (enten PyTorch eller TensorFlow).
* **Laboratorier** tilgjengelig for noen emner, som gir deg muligheten til å prøve å anvende materialet du har lært på et spesifikt problem.
* Noen seksjoner inneholder lenker til [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduler som dekker relaterte emner.
## Komme i gang
### 🎯 Ny på AI? Start her!
### 🎯 Ny i AI? Start her!
Hvis du er helt ny på AI og ønsker raske, praktiske eksempler, sjekk ut våre [**Nybegynnervennlige Eksempler**](./examples/README.md)! Disse inkluderer:
Hvis du er helt ny i AI og ønsker raske, praktiske eksempler, sjekk ut våre [**Nybegynnervennlige Eksempler**](./examples/README.md)! Disse inkluderer:
- 🌟 **Hello AI World** - Ditt første AI-program (mønster-gjenkjenning)
- 🧠 **Enkel Nevralt Nettverk** - Bygg et nevralt nettverk fra bunnen av
- 🖼️ **Bildeklassifiserer** - Klassifiser bilder med detaljerte kommentarer
- 💬 **Tekst Sentiment** - Analyser positiv/negativ tekst
- 💬 **Tekstfølelse** - Analyser positiv/negativ tekst
Disse eksemplene er laget for å hjelpe deg å forstå AI-konsepter før du går videre til hele læreplanen.
Disse eksemplene er designet for å hjelpe deg å forstå AI-konsepter før du går inn i hele læreplanen.
### 📚 Full læreplanoppsett
### 📚 Full læreplan oppsett
- Vi har laget en [oppsett-leksjon](./lessons/0-course-setup/setup.md) for å hjelpe deg med å sette opp utviklingsmiljøet ditt. - For lærere har vi også laget en [oppsett-leksjon for læreplaner](./lessons/0-course-setup/for-teachers.md)!
- Hvordan [kjøre koden i VSCode eller Codespace](./lessons/0-course-setup/how-to-run.md)
- Vi har laget en [oppsett-leksjon](./lessons/0-course-setup/setup.md) for å hjelpe deg med å sette opp ditt utviklingsmiljø. - For lærere har vi laget en [læreplan-setup leksjon](./lessons/0-course-setup/for-teachers.md) også!
- Hvordan [Kjøre koden i VSCode eller en Codespace](./lessons/0-course-setup/how-to-run.md)
Følg disse trinnene:
Fork Repoet: Klikk på "Fork" knappen øverst til høyre på denne siden.
Fork depotet: Klikk på "Fork" knappen øverst til høyre på denne siden.
Klone Repoet: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Klon depotet: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Ikke glem å gi denne repoen en stjerne (🌟) for å lettere finne den senere.
Ikke glem å stjerne (🌟) dette repositoriet for å finne det enklere senere.
## Møt andre lærende
Bli med i vår [offisielle AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) for å møte og netverke med andre som tar dette kurset og få støtte.
Bli med i vår [offisielle AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) for å møte og nettverke med andre som tar dette kurset og få støtte.
Hvis du har produkt-tilbakemeldinger eller spørsmål mens du bygger, besøk vår [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
Hvis du har produktinnspill eller spørsmål under byggingen, besøk vår [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
## Quizzer
## Quizzer
> **En merknad om quizzer**: Alle quizzer finnes i Quiz-app-mappen i etc\quiz-app, eller [Online Her](https://ff-quizzes.netlify.app/) De er lenket fra leksjonene, quiz-appen kan kjøres lokalt eller distribueres til Azure; følg instruksjonene i `quiz-app` mappen. De blir gradvis tilgjengelig på flere språk.
> **En merknad om quizzer**: Alle quizzer finnes i Quiz-app-mappen i etc\quiz-app, eller [Online Her](https://ff-quizzes.netlify.app/) De er lenket fra innenfor leksjonene. Quizappen kan kjøres lokalt eller distribueres til Azure; følg instruksjonene i `quiz-app`-mappen. De blir gradvis oversatt til flere språk.
## Hjelp ønskes
## Ønsker hjelp
Har du forslag eller funnet stave- eller kodefeil? Opprett en issue eller lag en pull request.
Har du forslag eller har funnet stave- eller kodefeil? Opprett et issue eller lag en pull request.
## Spesiell takk
* **✍️ Hovedforfatter:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 Redaktør:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **🎨 Sketchnote-illustratør:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **🎨 Sketchnote illustratør:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ Quiz-skaper:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 Kjernebidragsytere:** [Evgenii Pishchik](https://github.com/Pe4enIks)
@ -189,7 +190,7 @@ Vårt team produserer andre læreplaner! Sjekk ut:
---
### Generativ AI Serie
### Generativ AI-serie
[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
@ -197,7 +198,7 @@ Vårt team produserer andre læreplaner! Sjekk ut:
---
### Kjerne Læring
### Kjernelæring
[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
@ -208,7 +209,7 @@ Vårt team produserer andre læreplaner! Sjekk ut:
---
### Copilot Serie
### Copilot-serie
[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
@ -216,17 +217,17 @@ Vårt team produserer andre læreplaner! Sjekk ut:
## Få hjelp
Hvis du setter deg fast eller har spørsmål om å bygge AI-apper. Bli med lærende og erfarne utviklere i diskusjoner om MCP. Det er et støttende fellesskap hvor spørsmål er velkommen og kunnskap deles fritt.
Hvis du står fast eller har spørsmål om å bygge AI-apper. Bli med andre lærende og erfarne utviklere i diskusjoner om MCP. Det er et støttende fellesskap hvor spørsmål er velkomne og kunnskap deles fritt.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
Hvis du har produkt-tilbakemeldinger eller feil under bygging, besøk:
Hvis du har produktinnspill eller feil mens du bygger, besøk:
[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
---
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**Ansvarsfraskrivelse**:
Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi streber etter nøyaktighet, vennligst vær oppmerksom på at automatiske oversettelser kan inneholde feil eller unøyaktigheter. Det opprinnelige dokumentet på originalspråket bør betraktes som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen.
**Ansvarsfraskrivelse**:
Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi streber etter nøyaktighet, vennligst vær oppmerksom på at automatiske oversettelser kan inneholde feil eller unøyaktigheter. Det opprinnelige dokumentet på originalspråket skal betraktes som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for misforståelser eller feiltolkninger som oppstår fra bruk av denne oversettelsen.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->