Module 01
AI Foundations
8 lessons
Start from first principles: what AI is, what it is not, and how modern systems fit together.
Course directory
Read the course module by module
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Module 02
Understanding LLMs
8 lessons
Learn how language models work so the jump into agents feels natural instead of magical.
Module 03
From Chatbots to Agents
8 lessons
Understand the exact jump from “answers questions” to “gets work done.”
Module 04
Agent Building Blocks
8 lessons
Break an agent into understandable parts so the architecture feels simple.
Module 05
Memory, Knowledge, and RAG
8 lessons
Teach the difference between what a model knows, what it sees now, and what it can look up.
Module 06
Tools, APIs, and MCP
8 lessons
Show how agents connect to the outside world in practical, modern ways.
Module 07
Automation and Workflows
8 lessons
Map agents into the real automation world where work flows from one step to another.
Module 08
Multi-Agent Systems
8 lessons
Explore what happens when one agent is not enough and a team of agents collaborates.
Module 09
Reliability and Evaluation
8 lessons
Teach how to make agents dependable instead of flashy but fragile.
Module 10
Safety, Security, and Ethics
8 lessons
Keep the course honest about risks, boundaries, and responsible design.
Module 11
Product and User Experience
8 lessons
Great agents are not just powerful; they are also understandable, useful, and pleasant to use.
Module 12
Business and Real-World Use Cases
8 lessons
Connect the ideas to work, money, teams, and practical outcomes.
Module 13
Builder Path: How to Create Your Own Agent
8 lessons
Turn theory into practice with a simple path from idea to useful working system.
Module 14
Careers, Strategy, and the Future
8 lessons
End with the bigger picture: skills, opportunities, and how the field may evolve.