If you've been hearing terms like Agentic AI, Function Calling, Tool Calling, MCP, CrewAI, LangChain, LangGraph, or ReAct and wondering how they all fit together, this video is for you.
In this session, we cover:
✅ What an AI Agent actually is
✅ How AI Agents are different from a traditional LLM
✅ Why function calling changed everything
✅ How LLMs decide which tool to use
✅ The ReAct framework (Reason + Act)
✅ Different types of AI agents and agent architectures
✅ Popular frameworks like CrewAI, LangChain, LangGraph, and more
This video is designed for DevOps, SRE, Platform, and Cloud Engineers who want to understand AI Agents from the ground up before building real-world agentic applications.
Whether you're just getting started or planning to build your own AI-powered automation, this lesson will give you the foundation you need.
📺 Watch the video here:
Day 8 (English): https://www.ideaweaver.ai/courses/100-days-of-genai-for-devops-english/lectures/66279569
Day 8 (Hindi): https://www.ideaweaver.ai/courses/100-days-of-genai-for-devops-hindi/lectures/66279588
🎓 Want Live Instructor-Led Training?
https://ideaweaver.ai/#courses
➡️ If you're looking to try an AI agent built specifically for DevOps, check out DevOps Open Agent: https://github.com/ideaweaver-ai/devops-open-agent
➡️ IdeaWeaver Small Language Builder: https://github.com/ideaweaver-ai/ideaweaver-slm-builder
If you're following the 100 Days of GenAI for DevOps series, don't forget to like, share, and follow along. We still have many exciting projects and hands-on labs coming up!
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