categories: Technology & Innovation
Define and describe the core gen AI concepts.
Explain how various data types are used in generative AI to solve business problems, drive innovation, and gain a competitive advantage.
Explain the role of foundation models in generative AI, including their capabilities and limitations.
Describe the Google Cloud-recommended strategies for handling LLM limitations.
Describe the challenges and key factors involved in responsibly and securely developing and deploying AI within an organization.
1. Core Gen AI Concepts
Introduction to Gen AI Foundational Concepts
Understanding AI, ML, and Generative AI
What Is Data?
Types of Learning
Turning Data Into Learning Using Google Cloud
2. Foundation Models
Deep Learning, Generative AI, and Foundation Models
Choosing a Model
Google Strategies for Foundation Model Limitations
3. Building AI Securely and Responsibly
Secure AI
Responsible AI
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.
Course 1: Gen AI: Beyond the Chatbot
An official Google Learning Center Offering Training Courses
50 Learners
5 Courses
6 Months