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Gen AI Agents: Transform Your Organization

Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools.

BeginnerCourse5 hours

Featured reviews

SV

5.0Reviewed Dec 1, 2025

amazing course with such great details. Easy to understand!

JM

5.0Reviewed Jan 29, 2026

Very helpful course on understanding the fundamentals of AI tools available through Google. I learned a great deal and plan on utilizing these tools going forward.

PR

4.0Reviewed Aug 29, 2025

Good for basic knowledge about RAG, AI Agent Reasoning Models, Fine Tuning Parameters, Tools & Functions understanding.

JS

5.0Reviewed Dec 5, 2025

This course was awesome easy to follow and very informative

MY

5.0Reviewed Sep 16, 2025

Wonderful. Covers basic concepts through early hands-on steps to using more advanced features available to anyone.

CP

5.0Reviewed Sep 28, 2025

Very well designed course with nice interactive question and learning.

JG

5.0Reviewed Jul 10, 2025

This was a good course with a lot of information.

DK

4.0Reviewed Oct 28, 2025

The content presentation could have been better and bit more of hands on modules.

AT

5.0Reviewed Nov 23, 2025

Pretty Good. Easy to learn. Some of the questions in quiz had to be corrected.

SK

4.0Reviewed Nov 4, 2025

Same clunky dry interface with useless art, but a good agent building exercise.

KD

4.0Reviewed Aug 4, 2025

Quite a good and light non technical intro to GenAI and how you can use Google tools to achieve transformation in your organisation.

SK

5.0Reviewed Aug 26, 2025

Excellent material; Lots of useful information to implement in day to day work environment to improve the way we work

All reviews

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Justin Martin
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Reviewed Jan 29, 2026
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Michael Yee
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Reviewed Sep 17, 2025
Dawran Saribaev
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Reviewed Feb 15, 2026
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Nico Nico 周 家賢 (nnico)
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Reviewed Sep 21, 2025
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Reviewed Sep 29, 2025
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Reviewed Apr 6, 2026
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Reviewed Oct 27, 2025