AIFLX

Library / Artificial Intelligence

Agentic AI Internals: Build an Agent from Scratch

On Udemy

About this course

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 softwareengineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd likesince 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 driveagent behavior, and how to build agents with LangChain.

What you'll learn:

  • LangChain, LangGraphLLM and GenAI foundations
  • Prompt engineering, Context engineering
  • Tool calling Agent tracing with LangSmithDeep agents, agent harnesses with LangGraphOpen weights models
  • Output parsers and structured output

Reflection AgentsAgent Security

Everything is hands-on with real code, real projects. Uses PyCharm but any Python IDE works.

DISCLAIMERSPlease 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.

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