Agentic AI System Design

​Who should attend: Software Engineers, Data Scientists, Data Engineers, Product Managers, AI Architects, and Tech Leaders looking to build production-grade AI agents.

​What you'll learn: A systematic framework for designing agentic AI systems—from a single-agent prototype to enterprise-scale agent architectures.

​Beyond demos: Learn how to incorporate RAG, tool orchestration, observability, guardrails, caching, evaluation, and human-in-the-loop workflows into real-world AI applications.

​Production-first approach: Understand the engineering patterns, design decisions, and trade-offs that make agentic systems reliable, scalable, secure, and cost-effective.

​Hands-on architecture thinking: Through practical examples and design walkthroughs, you'll learn how to architect AI agents that can move from proof of concept to production with confidence.