Describe the layers of the gen AI landscape and how you can come in at different points to address specific business needs and drive innovation.

Introduction to Gen AI: Navigate the Landscape

Understanding the layers of gen AI

The gen AI landscape

This module outlines the Google Cloud Gen AI portfolio's components, how the AI stack can be used by different teams within an organization to achieve specific business goals and the Google Cloud AI offerings (e.g., Gemini, Vertex AI) that are part of the AI stack.

Agents and gen AI powered applications

How agents work

Gen AI agents: Beyond just models

Quiz Question 1

Quiz Question 2

Quiz Question 3

Quiz Question 4

Quiz Question 5

Gen AI agents and applications

Explain how Google Cloud’s AI-optimized infrastructure, data centers, and cloud computing platform supports generative AI development.

The platform layer

The model layer

Generative AI in action: A manufacturing use case

The infrastructure layer

Gen AI platform to infrastructure

Describe the business factors to consider when deciding which part of the Google Cloud gen AI portfolio to use for specific applications.

AI on the edge

Gen AI project resources: People, cost, and time

Gen AI solution needs

Choosing and maintaining your gen AI solution

Where in the landscape

This module provides course review resources.

Course study guide

Course resources

<strong>Gen AI: Navigate the Landscape</strong> s the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions,  Google Cloud’s offerings, and the factors to consider when selecting a solution.

You explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.

Gen AI project resources: People, cost, and time

Gen AI: Navigate the Landscape

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