This project builds intelligent digital employees that go beyond simple chatbots. It uses specialized AI Agents that work together in teams (orchestration) to solve complex tasks like financial analysis. These agents are equipped with External Tools to fetch real-time stock data or search the web, and they use RAG (Retrieval-Augmented Generation) to "read" and understand specific documents. The system also features Multimodal Processing to analyze images and exposes these capabilities to desktop apps via a standard MCP Server.
Hands-On-AI-Engineering is organized as connected concepts and components. Start broad, then drill down chapter by chapter.
This project builds intelligent digital employees that go beyond simple chatbots. It uses specialized AI Agents that work together in teams (orchestration) to solve complex tasks like financial analysis. These agents are equipped with External Tools to fetch real-time stock data or search the web, and they use RAG (Retrieval-Augmented Generation) to "read" and understand specific documents. The system also features Multimodal Processing to analyze images and exposes these capabilities to desktop apps via a standard MCP Server.
Source Repository: https://github.com/Sumanth077/Hands-On-AI-Engineering
Follow sequentially or jump to any topic. Start with AI Agents & Personas.
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