Course Overview of Introduction to Generative AI for Decision Makers

Introduction to Generative AI for Decision Makers is an introductory-level course designed for business leaders, executives, managers, and decision-makers seeking to understand how Generative AI can create value within their organizations. The course provides a business-focused overview of Generative AI concepts, industry applications, Responsible AI practices, and Google Cloud AI services. 

Participants will explore how different personas across an organization can leverage AI technologies, understand Google’s Responsible AI approach, and learn how to identify and prioritize Generative AI opportunities. Through practical discussions and real-world case studies, learners will gain the knowledge needed to make informed decisions about AI adoption and innovation strategies.  

After completing Introduction to Generative AI for Decision Makers, students will be able to:

  • Define Generative AI and its business significance.
  • Differentiate Generative AI from traditional AI and machine learning.
  • Understand the impact of Generative AI on organizations. 
  • Identify key business applications of Generative AI.
  • Recognize AI personas across business and technical functions.
  • Explore Google Cloud AI services for different user groups.
  • Understand Responsible AI principles and governance.
  • Evaluate potential Generative AI opportunities within their organization.
  • Develop a strategic perspective on AI-driven transformation.

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Key Features of Introduction to Generative AI for Decision Makers

  • Generative AI Fundamentals

  • Business Impact of Generative AI

  • AI Personas and Organizational Adoption

  • Google Cloud AI Services Overview

  • Gemini for Business Users

  • Responsible AI and Governance

  • Generative AI Use Case Evaluation

  • AI Transformation Strategy

Who should attend Introduction to Generative AI for Decision Makers?

  • Business Leaders
  • Executives
  • Decision Makers
  • Business Managers
  • Department Heads
  • Product Managers
  • Innovation Leaders
  • Transformation Leaders
  • Business Analysts
  • Strategy Teams

Prerequisites of Introduction to Generative AI for Decision Makers

  • No prerequisites required.  
  • Suitable for learners with varying levels of AI expertise.  
  • Interest in business innovation and digital transformation.  
  • Basic understanding of organizational processes is beneficial.  

Why choose CloudThat as your training for partner for Introduction to Generative AI for Decision Makers?

  • Specialized GCP AI and AgentOps Expertise -CloudThat specializes in cloud, Generative AI, and agentic application technologies and delivers focused Google Cloud training programs with enterprise operational use cases. 
  •  Industry-Recognized Trainers - Our trainers are certified Google Cloud professionals with expertise in Vertex AI, AI agents, DevOps, MLOps, observability, and AI governance workflows. 
  • Hands-On Learning Approach -CloudThat emphasizes practical learning through guided labs, CI/CD exercises, debugging workflows, evaluation systems, and AI security implementation scenarios. 
  • Customized Learning Paths - Training programs are designed for developers, DevOps engineers, ML engineers, and cloud professionals working with AI agent systems. 
  • Interactive Learning Experience - Sessions include demonstrations, collaborative operational workflows, troubleshooting activities, quizzes, and interactive discussions. 
  • Placement Assistance and Career Support - CloudThat supports learners with AI learning paths, interview preparation, operational best practices, and career guidance in Generative AI and AgentOps. 
  • Continuous Learning and Updates - Course content is continuously updated to align with the latest advancements in Vertex AI, AI operations, observability, security, and AI FinOps practices. 
  • Positive Reviews and Testimonials -Thousands of professionals and enterprises trust CloudThat for advanced cloud, AI, MLOps, and Google Cloud training programs. 

Learning Objectives Introduction to Generative AI for Decision Makers

  • Understand the fundamentals of Generative AI
  • Assess the business impact of AI technologies. 
  • Identify opportunities for AI adoption across business functions.  
  • Explore Google Cloud AI solutions for different personas.
  • Apply Responsible AI principles in decision-making.
  • Evaluate and prioritize AI use cases.  
  • Support AI-driven innovation initiatives.  
  • Develop an informed AI transformation strategy

Course Outline for Introduction to Generative AI for Decision Makers Download Course Outline

Topics

  • Gen AI versus AI and Machine Learning
  • Generative AI Applications
  • Business Impact of Generative AI Learning Outcomes

Learning Outcomes

  • Define Generative AI as a subset of AI.
  • Differentiate Generative AI from traditional AI approaches.
  • Understand business applications of Generative AI.
  • Assess the impact of AI on organizations. 

Activities

  • Generative AI Overview Discussion
  • Industry Examples Review
  • Business Impact Analysis

Topics

  • Personas and Products
  • Business Audience: Google Workspace
  • Consumer AI versus Enterprise AI
  • Vertex AI Model Garden
  • Vertex AI Studio
  • Vertex AI Agent Builder

Learning Outcomes

  • Identify AI personas within an organization.
  • Understand AI solutions for business users and developers.
  • Explore Google Cloud AI products and capabilities.
  • Align AI tools with organizational roles and objectives.

Activities

  • Persona Mapping Exercise
  • Product Capability Discussion
  • Organizational AI Readiness Assessment

Topics

  • AI and Responsibility
  • Google AI Principles
  • Responsible AI Practices
  • Data Privacy at Google
  • Customer Responsibilities

Learning Outcomes

  • Understand Google's Responsible AI framework
  • Recognize ethical considerations in AI adoption.
  • Evaluate AI risks and governance requirements.
  • Understand privacy considerations for Generative AI.

Activities

  • Responsible AI Discussion
  • Governance Scenario Analysis
  • Risk Assessment Workshop

Topics

  • Use Case Identification and Scoping
  • Use Case Prioritization Evaluation
  • Generative AI Project Lifecycle
  • Case Study Discussion

Learning Outcomes

  • Identify potential Generative AI use cases.
  • Evaluate AI opportunities based on business value.
  • Understand the stages of AI project implementation.
  • Develop strategies for AI adoption and innovation.

Activities

  • AI Use Case Workshop
  • Prioritization Exercise
  • Business Case Discussion

Certification Details of Introduction to Generative AI for Decision Makers

    Participants receive a course completion certificate upon successful completion of the training program.

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Course ID: 29928

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FAQs for Introduction to Generative AI for Decision Makers

This course is designed for business leaders, executives, managers, and decision-makers who want to understand the business value and strategic impact of Generative AI.

No. The course is business-focused and does not require technical or programming experience.

The course introduces Gemini, Vertex AI, Vertex AI Studio, Vertex AI Model Garden, and Vertex AI Agent Builder.

Responsible AI refers to the ethical, transparent, fair, secure, and accountable development and use of AI technologies.

Yes. The course includes frameworks and case studies that help learners identify, evaluate, and prioritize Generative AI use cases.

Yes. The content is specifically designed for leaders and decision-makers responsible for AI strategy and business transformation.

The course is delivered in a 3-hour instructor-led format.

Organizations can gain a clearer understanding of AI opportunities, accelerate innovation initiatives, improve decision-making, establish Responsible AI practices, and create a roadmap for successful AI adoption.

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