Premium career track · Coming soon
Gen AI Developer Career Track
Build real apps on top of large language models: chatbots, RAG over your own documents and AI agents that use tools.
- 17 modules
- 92+ lessons
- 4 modules free today
- 🎓 certificate
Get the early-bird price when it opens. Start the free modules today.
What you will be able to do
- Write prompts that give reliable, structured answers
- Understand how LLMs work: tokens, embeddings and attention
- Call LLM APIs safely, with streaming, retries and cost control
- Build RAG apps that answer from your own documents
- Create AI agents that plan and use tools, then deploy them
Syllabus
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1 Python Foundations ✅ Free now
The Python every AI developer needs: functions, dictionaries, files, JSON and errors.
Start the free course (20 lessons) ❯ -
2 Prompt Engineering ✅ Free now
Clear instructions, examples, roles, step-by-step reasoning and structured output.
Start the free course (8 lessons) ❯ -
3 NumPy and Pandas for AI ✅ Free now
Vectors, matrices and data tables, the raw material of every model.
Start the free course (6 lessons) ❯ -
4 How AI Models Are Built (free) ✅ Free now
How ChatGPT, Claude, Gemini and Grok are made: data, tokens, pretraining, RLHF and serving, with animated films.
Start the free course (6 lessons) ❯ -
5 How LLMs Work ⭐ Premium · Ready
Tokens, embeddings, attention, temperature and hallucinations: 5 animated lessons with runnable Python.
- Tokens and next-token prediction
- Embeddings: meaning as numbers
- Transformers and attention, visually
- Context windows, temperature and sampling
- Why models hallucinate and how to reduce it
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6 Working with LLM APIs ⭐ Premium · Ready
Buy and use API keys for OpenAI, Claude, Gemini and Grok, then build with chat history, streaming, JSON output, retries, cost control and security: 7 lessons with tested code.
- Getting API keys: OpenAI, Claude, Gemini, Grok and free options
- Your first API call (Claude, OpenAI, Gemini, Grok)
- Chat history and system prompts
- Streaming responses
- Structured output with JSON schemas
- Errors, retries, rate limits and cost
- Keeping API keys and user data safe
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7 Project: AI Study Buddy App ⭐ Premium · Ready
Plan, build, test, secure and deploy a real AI app with Python and Streamlit: notes in, quiz out, plus chat with your notes.
- Plan the app: architecture, prompts and the quiz format
- Build it with Python and Streamlit
- Test, secure and deploy it
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8 Retrieval-Augmented Generation (RAG) ⭐ Premium · Ready
Why RAG, chunking, embeddings and vector databases, retrieval, re-ranking, citations and evaluation: 5 animated lessons with runnable, tested code.
- Why RAG: Answers from Your Own Data
- Chunking Documents for RAG
- Embeddings and Vector Databases
- Retrieval, Re-ranking and Citations
- Evaluating a RAG App
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9 LangChain and LlamaIndex ⭐ Premium · Ready
Chains, prompts and parsers, chatbot memory, document loaders, retrievers and LlamaIndex: 3 animated lessons with runnable, tested code.
- LangChain: Chains, Prompt Templates and Output Parsers
- Memory for Chatbots: Buffers, Windows and Summaries
- Document Loaders, Retrievers and LlamaIndex
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10 AI Agents and Tool Use ⭐ Premium · Ready
What makes an agent, function calling, LangGraph, CrewAI teams and MCP: 5 animated lessons with runnable, tested code.
- What Makes an Agent: Plan, Act, Observe
- Function Calling and Tools
- Multi-Step Agents with LangGraph
- Teams of Agents with CrewAI
- MCP: Connecting Agents to Apps and Data
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11 Multimodal AI: Images, Voice and Video ⭐ Premium · Ready
Vision with images and PDFs, speech to text and text to speech, and image generation: 3 animated lessons with runnable, tested code.
- Vision: Sending Images and PDFs to a Model
- Speech to Text and Text to Speech
- Image Generation APIs
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12 Generative Models: GANs, VAEs and Diffusion ⭐ Premium · Ready
GANs, autoencoders and VAEs, and how diffusion image generators work: 3 animated lessons with runnable, tested code.
- GANs: A Generator and a Critic
- Autoencoders and Variational Autoencoders (VAEs)
- Diffusion Models: How Image Generators Work
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13 Fine-tuning and Hugging Face ⭐ Premium · Ready
Open models from the Hub, when to fine-tune, and LoRA and QLoRA on one GPU: 3 animated lessons with runnable, tested code.
- Using Open Models from the Hugging Face Hub
- When to Fine-Tune (and When Not To)
- Fine-Tuning a Small Model with LoRA and QLoRA
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14 Safe and Reliable AI Apps ⭐ Premium · Ready
Prompt injection defence, guardrails, moderation and privacy, and testing LLM output with evals: 3 animated lessons with runnable, tested code.
- Prompt Injection and How to Defend Against It
- Guardrails, Moderation and Privacy
- Testing and Evaluating LLM Output
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15 AI Coding Assistants ⭐ Premium · Ready
Copilot, Cursor and Claude Code compared, prompting for code with tests, and safe AI-written code: 3 animated lessons with runnable, tested code.
- GitHub Copilot, Cursor and Claude Code Compared
- Prompting for Code: Specs, Tests and Reviews
- Working Safely with AI-Written Code
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16 Deploying AI Apps ⭐ Premium · Ready
A Streamlit chat UI, an AI API with FastAPI, and Docker and cloud deployment: 3 animated lessons with runnable, tested code.
- A Chat UI with Streamlit
- An AI API with FastAPI
- Docker and Cloud Deployment
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17 Capstone Projects ⭐ Premium · Ready
Support chatbot, chat with your PDFs, research agent and a spaced-repetition study buddy: 4 animated lessons with runnable, tested code.
- Capstone: Customer Support Chatbot over a Company FAQ
- Capstone: Chat with Your PDFs (RAG)
- Capstone: Research Agent that Searches and Summarises
- Capstone: AI Study Buddy that Makes Quizzes from Notes