scalable ai agents

Learn why AI agents are difficult to deploy in production and discover lessons from real-world AI systems. In this session, Rajesh Gupta explains production challenges, orchestration issues, reliability concerns, scaling strategies, observability, and best practices for building enterprise-ready AI agent systems.

CSharp TVMay 73,519250

Learn how to implement AI agent control logic using pattern matching techniques. In this session, Haim Michael explains orchestration patterns, deterministic AI workflows, routing strategies, retry mechanisms, and structured approaches for building reliable and scalable AI agent systems.

CSharp TVMay 62,500250

Agent Lightning is a framework for training and optimizing AI agents using reinforcement learning without rewriting agent code. Learn how Agent Lightning works, why it matters, and how it enables continuously improving AI agents.

Mahesh ChandJan 311,3931,000

Learn how to design empathetic, resource-aware AI agents for the next billion users. This AI Agents Conference 2025 session explores trust, governance, safety, and scalable AI architecture.

Baibhav KumarDec 19, 20253,005250

Explore eight benefits of CrewAI for multi-agent applications, including orchestration, AWS Bedrock integration, security, scalability, model flexibility, and built-in tools.

Mahesh ChandJul 16, 20251,3901,000