Hey everyone, I am a 3rd year computer science student. I have completed learning the basics of ML through the Machine learning specialization and currently doing the deep learning specialization. I am also exploring NLP in depth. In the future I would like to learn about building Agentic AI systems and I am not sure about the roadmap that I should follow. I would really appreciate it if you could point me towards some useful resources for learning Agentic AI. I tried to explore the Deeplearning.AI short courses but there were so many of them I was confused. So I was hoping to take advice from people who have already been down the road.
Hello @Karthik14 !
Congrats in your journey learning ML while following your computer science career! Regarding to your question, if you want to get started with Agentic AI, this course Agentic AI is a great starting point! This course has 5 modules:
- Module 1: Introduction to Agentic Workflows
- Module 2: Reflection Design Pattern
- Module 3: Tool use
- Module 4: Practical Tips for Building Agentic AI
- Module 5: Patterns for Highly Autonomous Agents
Once you complete that, I’d strongly suggestion, these too:
- Claude Code: A Highly Agentic Coding Assistant
- Gemini CLI: Code & Create with an Open-Source Agent
- Multi AI Agent Systems with crewAI
While you go completing the lessons/courses, and build projects/demos/prototypes… feel free to share them with other learners through this forum!
Happy Learning!
Lesly - DLAI