Udemy – 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.