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Artificial Intelligence for Beginners - A Curriculum

Sketchnote by @girlie_mac https://twitter.com/girlie_mac
AI For Beginners - Sketchnote by @girlie_mac

Explore di world of Artificial Intelligence (AI) wit our 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum dey beginner-friendly and e cover tools like TensorFlow and PyTorch, plus ethics for AI

🌐 Multi-Language Support

Supported 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 | Khmer | 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

Prefer to Clone Locally?

Dis repository get 50+ language translations wey go make di download size big. If you wan clone without di translations, use sparse checkout:

Bash / macOS / Linux:

git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
cd AI-For-Beginners
git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'

CMD (Windows):

git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
cd AI-For-Beginners
git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"

Dis one go give you everything wey you need to finish di course with beta download speed.

If you want make we add more translation languages dem wey dey listed here

Join di Community

Microsoft Foundry Discord

Wetin you go learn

Mindmap of the Course

For dis curriculum, you go learn:

  • Different ways to take do Artificial Intelligence, including di "good old" symbolic style wit Knowledge Representation and reasoning (GOFAI).
  • Neural Networks and Deep Learning, wey be di main tin for modern AI. We go explain di ideas behind dem using code for two of di most popular frameworks - TensorFlow and PyTorch.
  • Neural Architectures wey dem dey use to work wit images and text. We go cover recent models but fit no too up-to-date with di latest beta.
  • Other less popular AI ways like Genetic Algorithms and Multi-Agent Systems.

Wet we no go cover for dis curriculum:

Find all additional resources for this course in our Microsoft Learn collection

If na soft introduction to AI in the Cloud topics you want, you fit consider to take Get started with artificial intelligence on Azure Learning Path.

Content

Lesson Link PyTorch/Keras/TensorFlow Lab
0 Course Setup Setup Your Development Environment
I Introduction to AI
01 Introduction and History of AI - -
II Symbolic AI
02 Knowledge Representation and Expert Systems Expert Systems / Ontology /Concept Graph
III Introduction to Neural Networks
03 Perceptron Notebook Lab
04 Multi-Layered Perceptron and Creating our own Framework Notebook Lab
05 Intro to Frameworks (PyTorch/TensorFlow) and Overfitting PyTorch / Keras / TensorFlow Lab
IV Computer Vision PyTorch / TensorFlow Explore Computer Vision on Microsoft Azure
06 Intro to Computer Vision. OpenCV Notebook Lab
07 Convolutional Neural Networks & CNN Architectures PyTorch /TensorFlow Lab
08 Pre-trained Networks and Transfer Learning and Training Tricks PyTorch / TensorFlow Lab
09 Autoencoders and VAEs PyTorch / TensorFlow
10 Generative Adversarial Networks & Artistic Style Transfer PyTorch / TensorFlow
11 Object Detection TensorFlow Lab
12 Semantic Segmentation. U-Net PyTorch / TensorFlow
V Natural Language Processing PyTorch /TensorFlow Explore Natural Language Processing on Microsoft Azure
13 Text Representation. Bow/TF-IDF PyTorch / TensorFlow
14 Semantic word embeddings. Word2Vec and GloVe PyTorch / TensorFlow
15 Language Modeling. Training your own embeddings PyTorch / TensorFlow Lab
16 Recurrent Neural Networks PyTorch / TensorFlow
17 Generative Recurrent Networks PyTorch / TensorFlow Lab
18 Transformers. BERT. PyTorch /TensorFlow
19 Named Entity Recognition TensorFlow Lab
20 Large Language Models, Prompt Programming and Few-Shot Tasks PyTorch
VI Other AI Techniques
21 Genetic Algorithms Notebook
22 Deep Reinforcement Learning PyTorch /TensorFlow Lab
23 Multi-Agent Systems
VII AI Ethics
24 AI Ethics and Responsible AI Microsoft Learn: Responsible AI Principles
IX Extras
25 Multi-Modal Networks, CLIP and VQGAN Notebook

Each lesson get inside am

  • Pre-reading material
  • Executable Jupyter Notebooks, wey dem dey usually make for one framework (PyTorch or TensorFlow). The executable notebook still get plenty theoretical material, so to sabi the topic you gats waka through at least one version of the notebook (whether Na PyTorch or TensorFlow).
  • Labs wey dey for some topics, wey go give you chance to try apply the material wey you don learn to one specific problem.
  • Some sections get links to MS Learn modules wey cover related topics.

Getting Started

🎯 New to AI? Start Here!

If you be complete new for AI and you want quick, hands-on examples, check out our Beginner-Friendly Examples! These ones include:

  • 🌟 Hello AI World - Your first AI program (pattern recognition)
  • 🧠 Simple Neural Network - Make neural network from scratch
  • πŸ–ΌοΈ Image Classifier - Classify images with detailed comments
  • πŸ’¬ Text Sentiment - Analyze positive/negative text

These examples dem design to help you understand AI concepts before you enter full curriculum.

πŸ“š Full Curriculum Setup

Follow these steps:

Fork the Repository: Click the "Fork" button wey dey top-right corner of this page.

Clone the Repository: git clone https://github.com/microsoft/AI-For-Beginners.git

No forget to star (🌟) this repo to make e easy to find later.

Meet other Learners

Join our official AI Discord server to meet and network with other learners wey dey do this 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 quizzes dey for the Quiz-app folder inside etc\quiz-app, or Online Here Dem link am from inside the lessons. The quiz app fit run locally or e fit deploy for Azure; just follow the instruction wey dey the quiz-app folder. Dem dey gradually dey localize am.

Help Wanted

You get suggestions or you don find spelling or code errors? Raise issue or create pull request.

Special Thanks

Other Curricula

Our team dey produce other curricula! Check am out:

LangChain

LangChain4j for Beginners LangChain.js for Beginners LangChain for Beginners

Azure / Edge / MCP / Agents

AZD for Beginners Edge AI for Beginners MCP for Beginners AI Agents for Beginners


Generative AI Series

Generative AI for Beginners Generative AI (.NET) Generative AI (Java) Generative AI (JavaScript)


Core Learning

ML for Beginners Data Science for Beginners AI for Beginners Cybersecurity for Beginners Web Dev for Beginners IoT for Beginners XR Development for Beginners


Copilot Series

Copilot for AI Paired Programming Copilot for C#/.NET Copilot Adventure

Getting Help

If you jam problem or you get any questions about how to build AI apps. Come join other learners and developers wey get experience for MCP discussions. Na supportive community wey questions dey welcome and knowledge dey share free freely.

Microsoft Foundry Discord

If you get product feedback or find error while you dey build, visit:

Microsoft Foundry Developer Forum


Disclaimer:
Dis document don translate wit AI translation service Co-op Translator. Even though we dey try make am correct, abeg sabi say automated translation fit get mistake or no too clear. The original document wey e dey for ground language na im get authority pass. For important info, e better to use professional human translation. We no go take any blame if person misunderstand or misinterpret anything wey come from this translation.