Google & Kaggle’s AI Agents Course: Day 1b Sequential, Parallel & Loop Agents Simplified!

Today’s video covers a key breakthrough in modern AI development:
why teams of specialized agents outperform a single “do-everything” agent.

In this lesson, I break down how multi-agent workflows are easier to build, test, and debug — especially when each agent has a clear role.

🔍 What You’ll Learn in This Video

Why specialized agents are more reliable than one giant agent

How to use SequentialAgent, ParallelAgent, and LoopAgent

How these agents create deterministic, predictable workflows

How to use an LLM as a manager to make dynamic decisions

How to pass information between agents using output_key

How simple “plumbing” makes agents collaborative and efficient

If you're learning AI agents, this is one of the most important concepts for building scalable, production-ready systems.

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0:00 Introduction, 4:00 Setup and Imports , 4:30 Multi-Agent Systems , 10:30 Sequential Workflows , 16:00 Parallel Workflows , 22:00 Loop Workflows

Видео Google & Kaggle’s AI Agents Course: Day 1b Sequential, Parallel & Loop Agents Simplified! канала M Waqas