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All courses
3 levels, 37 modules, 593 topics, from your first definition of AI to AGI and open research. 166 topic pages are ready today, and the rest are being written in order.
level 1 of 3
Beginner: Understanding Artificial Intelligence
What AI is, how it works, where it's used and how to use it safely. No programming and no formulas.
- B1Complete
Introduction to Artificial Intelligence
What AI is, what it is not, its types, its history, and why it matters
20 topics ~3 h20 ready
- B2Complete
How Artificial Intelligence Works: Data and Learning
Data, how computers store it, and how machines learn from examples, without any programming
23 topics ~3 h23 ready
- B3Beginner
Applications of Artificial Intelligence
Where AI is used at home, in industries and in India, with its benefits and limits
18 topics ~2 h8 ready
- B4Beginner
Domains of AI: Vision, Language, Speech and Robotics
How AI sees, reads, listens, talks and moves, explained without code
22 topics ~3 h3 ready
- B5Beginner
Generative AI and Conversational Assistants
What generative AI is, how chatbots write, how to prompt well, and how to check what AI produces
15 topics ~2 h2 ready
- B6Beginner
Responsible and Safe Use of AI
Privacy, online safety, misinformation, bias, ethics and healthy habits
21 topics ~3 h1 ready
- B7Beginner
Data Literacy and Visualisation
Reading, questioning, summarising and presenting data, the skill every AI user needs
18 topics ~2 h0 ready
- B8Beginner
Computational Thinking and the AI Project Cycle
How to think through a problem step by step, and the six stages used to plan any AI project
20 topics ~3 h0 ready
- B9Beginner
AI, Society and the Future
How AI changes work and society, the careers it creates, and what the future may hold
8 topics ~1 h1 ready
- B10Beginner
Beginner Capstone: AI for Social Good
A guided project that applies everything from the Beginner level to a real problem
8 topics ~2 h0 ready
level 2 of 3
Intermediate: Building with Artificial Intelligence
Algorithms and Python from zero, then data, the maths in plain words, classical AI, machine learning, neural networks and LLM applications.
- I1Complete
Python Programming for AI
From planning a solution as an algorithm to writing small AI-style programs in Python
34 topics ~6 h34 ready
- I2Intermediate
Working with Data: NumPy, pandas, SQL and Visualisation
Loading, cleaning, querying, exploring and charting real data with Python
21 topics ~4 h1 ready
- I3Intermediate
Mathematics for AI
The statistics, probability, linear algebra and calculus ideas behind AI, each explained in words before any formula
16 topics ~3 h13 ready
- I4Intermediate
Problem Solving and Reasoning: Classical AI
How AI agents search, play games, satisfy constraints, use logic, plan and reason under uncertainty, before and alongside machine learning
16 topics ~3 h0 ready
- I5Intermediate
Machine Learning Foundations
The machine learning workflow and the core algorithms, trained and evaluated with scikit-learn and no-code tools
21 topics ~4 h11 ready
- I6Intermediate
Neural Networks and Deep Learning Essentials
How neural networks work and learn, and the main deep learning architectures, with hands-on simulators
16 topics ~3 h4 ready
- I7Intermediate
Computer Vision in Practice
Working with images in Python, from pixels to trained image models
12 topics ~2 h0 ready
- I8Intermediate
Natural Language Processing in Practice
Processing text in Python, from tokens to sentiment analysis and chatbots
13 topics ~2 h1 ready
- I9Intermediate
Generative AI and Large Language Models in Practice
How LLMs work and how to build useful applications on top of them
16 topics ~3 h3 ready
- I10Intermediate
Responsible AI in Practice
Measuring and reducing bias, protecting privacy, explaining models, and the laws that apply
13 topics ~2 h0 ready
- I11Intermediate
Intermediate Capstone: An End-to-End AI Project
A full project from problem to working model to presentation
10 topics ~3 h0 ready
level 3 of 3
Advanced: Engineering and Researching Artificial Intelligence
Full mathematics, algorithms from scratch, deep learning, LLMs, agents, production engineering, safety and the open problems at the frontier.
- A1Complete
Supervised Machine Learning in Depth
Every major supervised algorithm with its mathematics, implemented from scratch and with scikit-learn, then evaluated and tuned properly
27 topics ~7 h27 ready
- A2Advanced
Unsupervised Learning and Applied Machine Learning
Finding structure without labels, and the specialised problems of recommendation, time series and limited labels
15 topics ~3 h1 ready
- A3Advanced
Advanced Mathematics for AI
The linear algebra, calculus, probability, information theory and optimisation used in modern deep learning
15 topics ~4 h5 ready
- A4Advanced
Probabilistic Reasoning, Decisions and Game Theory
Reasoning and deciding under uncertainty, over time and among many agents
12 topics ~3 h0 ready
- A5Advanced
Deep Learning with PyTorch
Building, training and debugging deep networks in PyTorch
16 topics ~4 h0 ready
- A6Advanced
Computer Vision with Deep Learning
Modern vision models for classification, detection, segmentation, video and 3D
14 topics ~4 h0 ready
- A7Advanced
Sequence Models, Transformers and Modern NLP
From word embeddings to Transformers built from scratch, with speech
14 topics ~4 h1 ready
- A8Advanced
Large Language Models: Training, Adaptation and Evaluation
How LLMs are pre-trained, aligned, adapted, served and evaluated
15 topics ~4 h0 ready
- A9Advanced
Retrieval-Augmented Generation and Knowledge Systems
Grounding LLMs in your own data, from vector search to production RAG
11 topics ~3 h0 ready
- A10Advanced
AI Agents and Autonomous Systems
LLM agents that plan, use tools, remember and work together, built safely
11 topics ~3 h0 ready
- A11Advanced
Generative Models and Multimodal AI
How machines generate images, audio, video and 3D, and how models combine senses
12 topics ~3 h0 ready
- A12Advanced
Reinforcement Learning
Agents that learn by acting, from Markov decision processes to deep RL
12 topics ~3 h2 ready
- A13Advanced
MLOps, Deployment and AI Infrastructure
Taking models to production and keeping them working at scale
17 topics ~4 h2 ready
- A14Advanced
AI Security, Safety and Governance
Attacking and defending AI systems, aligning them with human intent, and governing them responsibly
13 topics ~3 h0 ready
- A15Advanced
Frontier AI: AGI and Open Research Problems
Where AI stands today, the unsolved problems, and the debates about general and superhuman intelligence
16 topics ~3 h3 ready
- A16Advanced
Research Methods and Advanced Capstone
Doing original AI work: reading and reproducing research, then designing, building and defending an advanced AI system
12 topics ~5 h0 ready