The next wave of AI goes beyond chat — it’s about autonomous agents that can reason, plan, and act on data. In this hands-on workshop, participants will learn how to design and implement intelligent data agents that combine large language models with real-world data and tools.
We’ll explore key concepts like orchestration, tool use, memory, and grounding, then progressively build a working agent using Python and common data-access patterns. You’ll see how to make your agent query structured data, call APIs, and respond dynamically to user intent.
By the end, you’ll understand how to design, extend, and deploy autonomous agents that bring intelligence directly to your data workflows — ready to adapt for analytics, automation, and real-time applications.
🎯 Key Takeaways
- Understand the architecture and principles of autonomous, agentic AI systems.
- Learn how to enable reasoning, planning, and tool use within an agent.
- Gain hands-on experience building an intelligent data agent using Python.
- Discover how to connect agents with APIs and structured data sources.
- Walk away with a working prototype and patterns to extend for enterprise use.
📚 What You’ll Learn
- The foundations of agentic AI and autonomous workflows.
- How to structure prompts, manage memory, and orchestrate tool use.
- How to integrate large language models with data and APIs.
- How to evaluate, extend, and operationalize AI agents safely and effectively.
AI, Data Science, and Emerging Tech
(Workshop) VYAS - G - Room#VY004