Welcome to my Agentic AI Engineer Bootcamp repository!
This repository documents my journey from a Senior Software Engineer to an Agentic AI Engineer specializing in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Multi-Agent Systems, and production-ready AI applications.
Each week, I build a real-world project that demonstrates the concepts learned during that phase of the bootcamp. This repository serves as the central hub for my progress, learning notes, and project links.
Build production-ready AI applications and become an Agentic AI Engineer capable of designing, developing, and deploying intelligent AI agents.
| Week | Topic | Status | Project |
|---|---|---|---|
| Week 1 | Prompt Engineering & AI Agent Fundamentals | ✅ Completed | Smart AI Assistant |
| Week 2 | Native Function Calling & Structured Outputs | ⏳ In Progress | Coming Soon |
| Week 3 | Embeddings & RAG | ⬜ Planned | Coming Soon |
| Week 4 | Conversation Memory | ⬜ Planned | Coming Soon |
| Week 5 | Multi-Agent Systems | ⬜ Planned | Coming Soon |
| Week 6 | AI Web Search Agent | ⬜ Planned | Coming Soon |
| Week 7 | AI Coding Assistant | ⬜ Planned | Coming Soon |
| Week 8 | Production AI Agent | ⬜ Planned | Coming Soon |
Repository:
Topics covered:
- Prompt Engineering
- Prompt Templates
- Prompt Chaining
- Manual Tool Calling
- JSON Parsing
- Modular Python Project Structure
- Google Gemini API
- Python
- Google Gemini API
- LLMs
- Prompt Engineering
- JSON
- Git & GitHub
- VS Code
- ✅ Week 1 Completed
- 🚧 Preparing for Week 2
By the end of this bootcamp, I aim to build expertise in:
- Agentic AI
- Function Calling
- Structured Outputs
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Multi-Agent Systems
- Memory Management
- FastAPI
- Streamlit
- Docker
- Cloud Deployment
- AI System Design
This repository will be updated every week as I complete new Agentic AI Engineering projects and continue building toward production-ready AI systems.