Courses

Course01 · Computing Foundations

How computers, operating systems, the command line, networks, and developer tooling actually work — the bedrock every AI practitioner builds on.

6 weeks 42 days 42 written

Course02 · Programming with Python

From first program to tested, packaged, database-backed applications — the working programming skill AI work demands.

8 weeks 56 days 56 written

Course03 · Math, Statistics, and Data

The linear algebra, calculus, probability, and data-analysis skills that make machine learning understandable rather than magical.

6 weeks 42 days 42 written

Course04 · Machine Learning

Classical machine learning done properly: models, evaluation, feature work, and the discipline that separates working systems from leaderboard tricks.

8 weeks 56 days 56 written

Course05 · Deep Learning

Neural networks from first principles to transformers: build them, train them, debug them, and understand the hardware they run on.

6 weeks 42 days 14 written

Course06 · LLMs and Generative AI

Large language models as a working material: how they are made, how to prompt and call them, how to ground them with retrieval, customize them, and go multimodal.

7 weeks 49 days 0 written

Course07 · AI Engineering: Agents and Applications

Agents, MCP, AI coding tools, evaluation, and full-stack AI applications — engineering AI systems that hold up in production.

6 weeks 42 days 0 written

Course08 · Deployment, MLOps, and Security

Containers, cloud, CI/CD, monitoring, and the security discipline AI systems demand in the real world.

3 weeks 21 days 0 written

Course09 · Capstone

Two weeks to design, build, evaluate, secure, deploy, and present a complete AI application of your own.

2 weeks 15 days 0 written