This module covers key generative AI concepts and their differences, focusing on the relationship between data and AI model performance. It also differentiates between machine learning types and provides Google Cloud use cases for each.

Introduction to gen AI foundational concepts

Understanding AI, ML, and generative AI

What is data

Data types

Types of learning

Turning data into learning using Google Cloud

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Core gen AI concepts

This module covers how diverse data types are leveraged in generative AI to foster innovation, solve business problems, and establish a competitive edge.

Deep learning, generative AI, and foundation models

Choosing a model

Google strategies for foundation model limitations

Techniques to overcome limitations

Foundation Models

This module illustrates the function of foundation models in generative AI, along with their potential and constraints.

Secure AI

Responsible AI

Building AI securely and responsibly

This module provides course review resources.

Course study guide

Course resources

Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.

You unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI.

Gen AI: Unlock Foundational Concepts

Google Cloud Generative AI Leader

Quiz Question 1

Gen AI: Unlock Foundational Concepts

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