Agentic AI Internals: Build an Agent from Scratch

This course contains the use of artificial intelligence :) Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts . Who this is for: Software developers, data scientists, and AI/ML engineers proficient in Python. This is not a beginner course. Welcome to AI Agents with LangChain. This course teaches you how AI agents actually work — then you build them from scratch. You'll go deep into agent internals: how LLMs make decisions, how function calling works, how prompts drive agent behavior, and how to build  agents with LangChain. What you'll learn: LLM and GenAI foundations Prompt engineering, Context engineering Tool calling and function calling Agent tracing with LangSmith Deep agents with LangGraph Open source models Output parsers and structured output Everything is hands-on — real code, real projects. Uses PyCharm but any Python IDE works. DISCLAIMERS Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.