AI course for beginners
No coding experience needed to start. You begin with how computers, Git and APIs work and what AI actually is, learn Python properly, then the maths that makes machine learning make sense, before building AI systems.
Most beginners jump straight to "build a chatbot" tutorials, copy code they do not understand, and stall. This course goes in a fixed order, and every module unlocks only after you finish the one before it:
From there the program moves to deep learning, LLM applications, RAG, agents and production, so you never hit a gap.
Notes with worked examples, short video lessons with quick checks, a lab in your browser with automatic checks, a five-minute practice path, a workbook and a timed exam. Pass the exam and the next lesson opens.
Every module unlocks in order, after the one before it.
From your first line of Python to production LLM apps, RAG, agents, evals and fine-tuning. Reverse-engineered from 2026 AI-engineer job descriptions.
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No. Module 1 sets up the tools and vocabulary, and Module 2 teaches Python to a professional standard, starting from the first line.
Module 3 teaches only the maths AI needs (vectors, derivatives and probability), with code and worked examples rather than proofs.
Most learners plan 6 to 14 hours a week. It is self-paced, so you can study around college or a job.
Yes. Lesson 1.1 is free, with notes, a lab and a quiz, and no card.
AI vs ML vs DL vs GenAI: deep notes, a hands-on lab and a quiz. No card. No catch.