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README.md
Artificial Intelligence for Beginners - A Curriculum
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| AI For Beginners - Sketchnote by @girlie_mac |
Make we waka enter di world of Artificial Intelligence (AI) wit dis 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum dey easy for beginners and e go teach tools like TensorFlow and PyTorch, plus di ethics wey dey AI.
🌐 Multi-Language Support
E dey work wit 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 | Korean | Lithuanian | Malay | 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 | Thai | Turkish | Ukrainian | Urdu | Vietnamese
If you wan add more translations, di languages wey dey available dey listed here
Join di Community
Wetin you go learn
For dis curriculum, you go learn:
- Di different ways wey Artificial Intelligence dey work, including di "good old" symbolic way wey dey use Knowledge Representation and reasoning (GOFAI).
- Neural Networks and Deep Learning, wey be di main thing for modern AI. We go show di ideas behind dis important topics wit code for two popular frameworks - TensorFlow and PyTorch.
- Neural Architectures wey dey work wit images and text. We go talk about recent models but e fit no cover di latest ones.
- Some AI ways wey no too popular, like Genetic Algorithms and Multi-Agent Systems.
Wetin we no go cover for dis curriculum:
Find all di extra resources for dis course for our Microsoft Learn collection
- Business cases of how AI dey work for Business. You fit try Introduction to AI for business users learning path for Microsoft Learn, or AI Business School, wey dem do wit INSEAD.
- Classic Machine Learning, wey dem explain well for our Machine Learning for Beginners Curriculum.
- Practical AI projects wey dem build wit Cognitive Services. For dis one, we recommend make you start wit modules for Microsoft Learn for vision, natural language processing, Generative AI with Azure OpenAI Service and others.
- Specific ML Cloud Frameworks, like Azure Machine Learning, Microsoft Fabric, or Azure Databricks. You fit try Build and operate machine learning solutions with Azure Machine Learning and Build and Operate Machine Learning Solutions with Azure Databricks learning paths.
- Conversational AI and Chat Bots. E get separate Create conversational AI solutions learning path, and you fit also check dis blog post for more gist.
- Deep Mathematics wey dey behind deep learning. For dis one, we go recommend Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville, wey dey online for https://www.deeplearningbook.org/.
If you wan soft introduction to AI for di Cloud topics, you fit try Get started with artificial intelligence on Azure Learning Path.
Content
Wetin dey inside each lesson
- Material wey you go read before you start
- Jupyter Notebooks wey you fit run, dem dey specific to framework (PyTorch or TensorFlow). Di notebook wey you fit run get plenty theory inside, so to sabi di topic well, you need to check at least one version of di notebook (PyTorch or TensorFlow).
- Labs dey for some topics, e go give you chance to try use wetin you don learn solve one problem.
- Some sections get links to MS Learn modules wey dey cover similar topics.
How to Start
🎯 You dey new for AI? Start from here!
If AI be new thing for you and you wan see quick examples wey you fit try, check our Beginner-Friendly Examples! Di examples include:
- 🌟 Hello AI World - Your first AI program (pattern recognition)
- 🧠 Simple Neural Network - Build neural network from scratch
- 🖼️ Image Classifier - Classify images with detailed comments
- 💬 Text Sentiment - Analyze positive/negative text
Di examples dey designed to help you sabi AI concepts before you enter di full curriculum.
📚 Full Curriculum Setup
- We don make setup lesson wey go help you set up your development environment.
- For Teachers, we don also make curricula setup lesson for una!
- How to Run di code for VSCode or Codepace
Follow dis steps:
Fork di Repository: Click di "Fork" button wey dey di top-right corner of dis page.
Clone di Repository: git clone https://github.com/microsoft/AI-For-Beginners.git
No forget to star (🌟) dis repo so e go dey easy to find later.
Meet oda Learners
Join our official AI Discord server to meet and connect wit oda learners wey dey take dis course and get support.
If you get product feedback or questions as you dey build, visit our Azure AI Foundry Developer Forum
Quizzes
A note about quizzes: All di quizzes dey inside di Quiz-app folder for etc\quiz-app, or Online Here. Dem dey linked from di lessons, and di quiz app fit run locally or you fit deploy am to Azure; follow di instruction wey dey di
quiz-appfolder. Dem dey gradually localize am.
Help Wanted
You get suggestions or you see spelling or code errors? Make you raise issue or create 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
Oda Curricula
Our team dey produce oda curricula! Check dem out:
Azure / Edge / MCP / Agents
Generative AI Series
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Core Learning
Copilot Series
Getting Help
If you dey stuck or you get any questions about how to build AI apps, join oda learners and experienced developers to discuss MCP. Na supportive community wey dey welcome questions and dey share knowledge freely.
If you get product feedback or errors as you dey build, visit:
Disclaimer:
Dis docu don use AI translation service Co-op Translator take translate am. Even though we dey try make e accurate, abeg sabi say automated translation fit get mistake or no correct well. Di original docu for im native language na di main correct source. For important information, e good make una use professional human translation. We no go dey responsible for any misunderstanding or wrong interpretation wey fit happen because of dis translation.