Generative AI Leader

Overview

This course provides an introductory journey into generative AI, focusing on how it can transform organizations across business functions and industries. Learners will explore core generative AI concepts, the gen AI landscape, and Google Cloud’s products and solutions for implementing and scaling generative AI initiatives. The course includes practical activities and discussions to help delegates understand and apply gen AI strategies for organizational transformation.

Prerequisites

There are no specific pre-requisites for this course.

Target audience

This course is designed for anyone responsible for leading an organisation’s Generative AI strategy.

Objectives

By the end of this course, learners will be able to:

• Describe how generative AI transforms organizations across business functions and industries
• Define core generative AI concepts, including artificial intelligence, gen AI, and machine learning
• Identify the core layers of the gen AI landscape, such as applications, agents, platforms, models, and infrastructure
• Explain how to combine the components of generative AI agents to build powerful solutions
• Identify Google Cloud products and solutions that support the implementation and scaling of generative AI initiatives
• Explain prompt engineering techniques and how they drive better results
• Describe strategies for responsibly and securely developing and deploying AI

Outline

Introduction to Gen AI for Businesses

• Overview of generative AI and its impact on organizations
• Gen AI strategy and transformation across business functions
• Google Cloud’s strengths in generative AI
• Steps to implement transformational gen AI solutions

Gen AI: Unlock Foundational Concepts

• Core generative AI concepts
• Foundation models and their role in gen AI
• Responsible AI development and deployment
• Data types in generative AI for business solutions

Gen AI: Navigate the Landscape

• Layers of the gen AI landscape: applications, agents, platforms, models, and infrastructure
• Strategic entry points for business needs and innovation
• Google Cloud’s gen AI portfolio and AI-optimized resources
• Business factors in selecting gen AI solutions

Gen AI Apps: Transform Your Work

• Prompt engineering techniques
• Using generative AI for productivity
• Gemini for Google Workspace and Google Cloud
• Developing automated workflows with gen AI tools

Gen AI Agents: Transform Your Organization

• Components and functions of generative AI agents
• Building and combining agent components for solutions
• Enhancing customer experience with agents
• Leading and managing organizational transformation with gen AI

Exams and assessments

There are no exams or assessments associated with this course.

Hands-on learning

• Hands-on activities with the Gemini app
• Practical exercises such as prioritization, prompt engineering, and agent tooling
• Discussions and scenario-based activities to apply gen AI concepts
• Opportunities to develop automated workflows and explore real-world use cases