Advanced

Advanced AI Agents

Dive deep into advanced AI agent design and implementation.

4h 33m

38 lessons

Last updated: January 2026

38 lessons

4h 33m of content

Certificate of completion

Community access

What you'll learn

Learn to build agentic systems from scratch with Python

Apply best practices and effective design patterns to build complex agentic workflows

Build and orchestrate advanced multi-agent systems

This course includes

38 lessons

4h 33m of content

Certificate of completion

Community access

Course Curriculum

12 modules • 38 lessons • 4h 33m total

Course Introduction

4 lessons • 11m

Course Introduction

1:21

Course Objectives

5:06

Course Tips

Tools & Setup

5:32

Building with Agents

2 lessons • 8m

What is an agent?

4:44

What are agents made up of?

3:18

Augmented LLMs

3 lessons • 18m

What are Augmented LLMs

2:06

Components of Augmented LLMs

3:28

Building a Single-Agent Search System

13:01

Prompt Chaining

3 lessons • 15m

What are LLM Workflows?

1:26

Overview of Prompt Chaining

2:23

Document Generator

11:13

LLM Routing

2 lessons • 8m

What is LLM Routing?

2:18

Routing Customer Service Requests

6:05

Parallelization

2 lessons • 16m

What is Parallelization in LLMs?

1:44

Optimizing LLM Guardrails with Parallelization

15:14

Multi-Agent Systems

2 lessons • 18m

What are Multi-Agent Systems?

7:28

Building a Sequential Multi-Agent System

11:04

Evaluator-Optimizer Agents

2 lessons • 14m

Overview of Evaluator-Optimizer Agents

1:49

Building an Evaluator-Optimizer Agent

12:44

Orchestrator-Worker Agents

2 lessons • 22m

What is an Orchestrator-Worker Agent?

1:40

Building a Multi-Agent Search System

21:14

Multi-Agent Orchestration

8 lessons • 59m

What is Multi-Agent Orchestration?

3:13

Choosing an Agent Orchestration Framework

6:01

Best Practices for Building Multi-Agent Systems

6:46

Building AI Agents with Google ADK

3:17

Getting Started with Google ADK

9:58

Conversational Context in ADK

8:08

Building Sequential Multi-Agent Systems

8:35

Building a Deep Research Agent with ADK

13:11

AI Agent Evaluation and Debugging

6 lessons • 1h 4m

Introduction to AI Agents Evaluation

6:20

Observability for AI Agents

3:48

Logging AI Agent Traces with Opik

12:16

Tracing a Multi-Agent Search System

15:02

Annotating & Scoring AI Agent Traces

9:58

AI Agent Evaluation

16:55

Deploying AI Agents

2 lessons • 15m

Deploying AI Agents

15:08

Conclusion

38 lessons

4h 33m of content

Certificate of completion

Community access