Agentic AI Teams: Multi-Agent Systems Explained (CrewAI)

Hosted by Krishnaraj Govindaraju and Deep Pandey

105 students

In this video

What you'll learn

How AI teams divide work

Understand roles, task decomposition, and hand-offs, the system design behind agent teams that don't collapse into chaos

The 3 failure modes (and their guardrails)

Learn why agent teams loop, hallucinate hand-offs, and burn tokens and the production guardrails that prevent each one

CrewAI vs. AutoGen, compared honestly

Discover which framework fits which job — then watch a 3-agent Researcher → Analyst → Writer crew produce a real report

Why this topic matters

Single agents are 2025. The frontier in 2026 is teams of specialized agents working like colleagues — the pattern behind enterprise research crews, ops pipelines, and reporting systems. This session explains multi-agent system design from first principles, taught by engineers who've shipped these systems in production, not slideware

You'll learn from

Krishnaraj Govindaraju

CEO & Co-founder at ai-experts.tech

Krishnaraj spent a decade building AI systems at IBM and UnitedHealth Group before founding one of India's fastest-growing AI cohort programs, training 1,000+ professionals. His teaching philosophy is simple: teach only what you've shipped. His sessions are known for being hands-on, jargon-free, and brutally practical

Deep Pandey

AI speaker, educator & systems builder with 50+ deployments

Deep has architected and deployed 50+ production AI agents across fintech, healthcare, and retail. He believes the gap between a demo and a deployed system is where real skill lives — and that's exactly what he teaches. Clear, technical, and allergic to hype

Previously at IBM, UHG