Building AI Agents in Python: From Zero to Production

The landscape of AI development has shifted dramatically from simple chatbots to sophisticated autonomous agents capable of reasoning, planning, and executing complex tasks. As organizations increasingly adopt AI agents for everything from customer service to financial analysis, the demand for developers who can build, deploy, and maintain these systems in production environments has never been higher.

This interactive workshop bridges the gap between AI experimentation and production-ready multi-agent systems, taking you through a comprehensive journey of building increasingly sophisticated AI agents using Python and the Agno framework. You'll start with the fundamentals—understanding how modern AI agents work, how they interact with external tools and APIs, and how to structure your code for maintainability and scalability. From there, we'll progressively add layers of complexity: integrating knowledge bases for intelligent information retrieval, implementing persistent memory systems that learn and adapt over time, orchestrating teams of specialized agents that collaborate on complex tasks, and finally building robust workflows with multiple steps of agent execution.

By the end of this workshop, you will have created six fully functional AI agents:

1. Stock Analysis Agent - Real-time financial data analysis with YFinance integration


2. Documentation Assistant - Intelligent document search and Q&A with RAG capabilities


3. Personalized Financial Advisor - Memory-enabled agent that adapts to user preferences


4. Research Team - Coordinated multi-agent system for complex analysis tasks


5. Social Media Content Workflow - End-to-end research and content creation pipeline


6. Production-Ready System - Fully deployed agent with monitoring and evaluation
   

Prerequisites

Please prepare for the workshop as follows:

• Make sure you have Python and your favourite IDE ready


• ⁠Install ⁠ agno ⁠


• ⁠Install ⁠ openai ⁠