Agentic AI Lecture Notes
I recently spent some time taking DeepLearning.AI’s Agentic AI course and earned the certificate. It took around six hours. The content focuses on core concepts and applications of Agentic AI; the course quality is high, but as an intro it stays fairly light and doesn’t dive much into math or implementation details.
Thinking back, the last time I took an Andrew Ng course was in 2016 or 2017—his Machine Learning on Coursera. Nearly nine years ago; time flies.
Next I’ll summarize the core ideas from the course and answer one question: Why, as of Nov 2, 2025, is Claude Code the most successful agentic product?
Note that the course uses AI Suite for hands-on implementation, which differs from commonly used stacks like LangGraph and OpenAI Agent SDK. So these notes won’t go deep into code implementation details.