udemy-gen-ai-tracker

Project: Full Stack Generative & Agentic AI

This project tracks the learning journey and technical synthesis of the Udemy course “Full stack generative and Agentic AI with python”.

• Course Summary & Curriculum

🎯 Goal

Master the implementation of Generative AI (LLMs) and Agentic frameworks (CrewAI, AutoGen, LangChain) within full-stack Python environments.

📚 Course Modules & Progress

• [/] Module 1: Introduction to Generative AI
  • Lecture 1: Dev Environment Setup
  • Lecture 2: VS Code Setup
  • Lecture 3: Meet Your Instructor
  • Lecture 4: What is Programming?
  • Lecture 5: Experience in Writing Python Code
• Module 2: Python for AI Development
• Module 3: Working with LLM APIs (OpenAI, Anthropic, Google)
• Module 4: Prompt Engineering & RAG Patterns
• Module 5: Building Agentic Workflows (Agentic AI)
• Module 6: Full Stack Integration (FastAPI/Streamlit)
• Module 7: Deployment & Productionalizing Agents

🧠 Key Synthesized Concepts

• Agentic Workflows
• RAG Pipelines
• Model Context Protocol (MCP)

🛠️ Labs & Experiments

(Links to source code or lab notes)

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Status: 🟢 Active | Instructor: Udemy | Started: 2026-05-03 Tags: AI AgenticAI Python GenerativeAI Learning