🤖 Agentic AI course by DeepLearning
Andrew NG released a new free course on Agentic AI.
This course focuses on building agentic systems that take action through iterative, multi-step workflows.
You’ll get hands-on experience with four core agentic design patterns:
  • Reflection: The agent evaluates its own output and identifies improvements.
  • Tool use: LLM-driven systems decide which functions to call, web search, calendars, email, code execution, and more.
  • Planning: Break tasks into sub-tasks for systematic execution.
  • Multi-agent collaboration: Coordinate multiple specialized agents to tackle complex tasks.
It also covers how to evaluate and debug these systems systematically so you can improve performance based on real data instead of guesswork.
Everything is implemented in raw Python, so you can see each step in detail and apply the concepts to any agentic framework or even build one from scratch.
Enroll for free! 🙌🏻
5
6 comments
Mišel Čupković
6
🤖 Agentic AI course by DeepLearning
AI Automation Society
skool.com/ai-automation-society
A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
Leaderboard (30-day)
Powered by