This repository explores the use of agentic AI tools and techniques for building intelligent, automated systems. The course covers practical applications and hands-on work with agentic AI frameworks, libraries, and APIs, tools, and different LLMS.
- Agentic AI fundamentals
- Large Language Models (LLMs)
- CrewAI for multi-agent orchestration
- Coder Agents in Docker environments
- AutoGen for agent workflows
- OpenAI Agents SDK
- LangGraph for agent pipelines
- LangChain
- Model Context Protocol (MCP)
- Retrieval-Augmented Generation (RAG)
- Hugging Face Spaces for deployment
- Prompt Engineering strategies
- Building agents without frameworks
- Asyncio for lightweight concurrency
- Working with LLM APIs:
- OpenAI
- Gemini
- LLaMA
- Groq
- DeepSeek
- Claude AI
- OpenRouter
- Working with other APIs and platforms:
- Sendgrid
- Pushover
- HuggingFace
- Gradio
- UV
- Codex
- Cursor IDE
- Kiro
- N8N
- Zapier
Some of the wonderful projects done:
- AI Coder Aget
- Personal Chatbot
- Sponsorship Aget
- Job Search Agent
- AI-powered resume analyzer
- Stock Picker
- Financial Analyst
- Business Analyst
- Software Engineer