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README.md
Artificial Intelligence for Beginners - Na Curriculum
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| AI For Beginners - Sketchnote na @girlie_mac |
Make you explore di world of Artificial Intelligence (AI) wit our 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum easy for beginners and e dey cover tools like TensorFlow and PyTorch, plus ethics for AI
🌐 Plenty Languages Wey We Dey Support
Dem dey support am via GitHub Action (Automated & Always Up-to-Date)
Arabic | Bengali | Bulgarian | Burmese (Myanmar) | Chinese (Simplified) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Macau) | Chinese (Traditional, Taiwan) | Croatian | Czech | Danish | Dutch | Estonian | Finnish | French | German | Greek | Hebrew | Hindi | Hungarian | Indonesian | Italian | Japanese | Kannada | Korean | Lithuanian | Malay | Malayalam | Marathi | Nepali | Nigerian Pidgin | Norwegian | Persian (Farsi) | Polish | Portuguese (Brazil) | Portuguese (Portugal) | Punjabi (Gurmukhi) | Romanian | Russian | Serbian (Cyrillic) | Slovak | Slovenian | Spanish | Swahili | Swedish | Tagalog (Filipino) | Tamil | Telugu | Thai | Turkish | Ukrainian | Urdu | Vietnamese
If you want make we add more translation languages, di ones wey dem support dey listed here
Join di Community
Wetin you go learn
For this curriculum, you go learn:
- Different approaches to Artificial Intelligence, including di "good old" symbolic approach wit Knowledge Representation and reasoning (GOFAI).
- Neural Networks and Deep Learning, wey dey di core of modern AI. We go show di concepts behind these important topics using code for two of di most popular frameworks - TensorFlow and PyTorch.
- Neural Architectures for working wit images and text. We go cover recent models but e fit no reach di very latest state-of-the-art.
- Less popular AI approaches, like Genetic Algorithms and Multi-Agent Systems.
Wetin we no go cover for dis curriculum:
Find all extra resources for dis course for our Microsoft Learn collection
- Business cases wey dey use AI in Business. If you want, consider to take the Introduction to AI for business users learning path on Microsoft Learn, or AI Business School, wey dem develop together wit INSEAD.
- Classic Machine Learning, wey well explain for our Machine Learning for Beginners Curriculum.
- Practical AI applications wey dem build using Cognitive Services. For dis one, we recommend say you start wit Microsoft Learn modules for vision, natural language processing, Generative AI with Azure OpenAI Service and oda ones.
- Specific ML Cloud Frameworks, like Azure Machine Learning, Microsoft Fabric, or Azure Databricks. You fit consider the learning paths Build and operate machine learning solutions with Azure Machine Learning and Build and Operate Machine Learning Solutions with Azure Databricks.
- Conversational AI and Chat Bots. Dem get separate Create conversational AI solutions learning path, and you fit also check this blog post for more detail.
- Deep Mathematics wey dey behind deep learning. For dis, we recommend Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville, wey still dey online at https://www.deeplearningbook.org/.
If you want small introduction to AI in the Cloud topics, you fit consider to take the Get started with artificial intelligence on Azure Learning Path.
Content
Each lesson contains
- Pre-reading material
- Executable Jupyter Notebooks, which are often specific to the framework (PyTorch or TensorFlow). The executable notebook also contains a lot of theoretical material, so to understand the topic you need to go through at least one version of the notebook (either PyTorch or TensorFlow).
- Labs available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem.
- Some sections contain links to MS Learn modules that cover related topics.
Getting Started
🎯 New to AI? Start Here!
If you're completely new to AI and want quick, hands-on examples, check out our Beginner-Friendly Examples! These include:
- 🌟 Hello AI World - Your first AI program (pattern recognition)
- 🧠 Simple Neural Network - Build a neural network from scratch
- 🖼️ Image Classifier - Classify images with detailed comments
- 💬 Text Sentiment - Analyse whether text na positive or negative
These examples dem design make e help you sabi AI concepts before you enter full curriculum.
📚 Full Curriculum Setup
- We don create a setup lesson wey go help you with setting up your development environment. - For educators, we sef don create a curricula setup lesson for you too!
- How to Run the code in a VSCode or a Codepace
Follow these steps:
Fork the Repository: Click on the "Fork" button for the top-right corner of this page.
Clone the Repository: git clone https://github.com/microsoft/AI-For-Beginners.git
Don't forget to star (🌟) this repo make e dey easier to find later.
Meet other Learners
Join our official AI Discord server make you meet and network with other learners wey dey do this course and get support.
If you get product feedback or questions whilst you dey build visit our Azure AI Foundry Developer Forum
Quizzes
A note about quizzes: All quizzes dey contained for the Quiz-app folder for etc\quiz-app, or Online Here They dey linked from inside the lessons. The quiz app fit run locally or fit deploy to Azure; follow the instruction for the
quiz-appfolder. Dem dey gradually localize dem.
Help Wanted
You get suggestions or you see spelling or code errors? Raise an issue or create a pull request.
Special Thanks
- ✍️ Primary Author: Dmitry Soshnikov, PhD
- 🔥 Editor: Jen Looper, PhD
- 🎨 Sketchnote illustrator: Tomomi Imura
- ✅ Quiz Creator: Lateefah Bello, MLSA
- 🙏 Core Contributors: Evgenii Pishchik
Other Curricula
Our team dey produce other curricula! Check am out:
LangChain
Azure / Edge / MCP / Agents
Generative AI Series
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Core Learning
Copilot Series
Getting Help
If you get stuck or you get any questions about building AI apps, join fellow learners and experienced developers for discussions about MCP. Na supportive community where questions welcome and knowledge dey shared freely.
If you get product feedback or errors while you dey build visit:
Disclaimer: Dis dokument don translate wit AI translation service Co-op Translator (https://github.com/Azure/co-op-translator). Even though we dey try make am correct, abeg sabi say automated translation fit get mistakes or dey inaccurate. The original dokument for im native language suppose be di official source. If na important information, make una use professional human translator. We no dey liable for any misunderstanding or wrong interpretation wey fit come from dis translation.