Course overview of Industry Use Cases for Generative AI

Industry Use Cases for Generative AI is an introductory-level course designed for business professionals, analysts, developers, decision-makers, and technology leaders interested in understanding the practical applications of Generative AI. The course introduces core Generative AI concepts and demonstrates how organizations are using AI-powered solutions to solve business challenges across multiple industries. 

Participants will explore real-world use cases, including marketing and customer outreach, retail store productivity, and AI-driven business innovation. Through solution walkthroughs, demonstrations, and collaborative discussions, learners will gain the knowledge needed to identify, evaluate, and prioritize Generative AI opportunities within their own organizations.  

After completing Industry Use Cases for Generative AI, participants will be able to:

  • Understand the fundamentals of Generative AI.
  • Differentiate Generative AI from traditional AI and machine learning.
  • Identify business opportunities for Generative AI adoption.
  • Evaluate the business value of AI-powered solutions.
  • Understand the key components of Generative AI architectures.
  • Explore real-world AI implementations across industries.
  • Identify potential Generative AI use cases within their organization.
  • Evaluate AI opportunities based on business impact and feasibility.
  • Understand Google Cloud AI services for business innovation.

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Key Features of Industry Use Cases for Generative AI

  • Generative AI Fundamentals

  • Real-World Industry Use Cases

  • Marketing and Customer Engagement Solutions

  • Retail and Store Productivity Optimization

  • Business Value Assessment Frameworks

  • Generative AI Solution Architecture Overview

  • Use Case Evaluation and Prioritization 

  • Google Cloud AI Innovation Platforms

Who should attend Industry Use Cases for Generative AI

  • Business Analysts
  • Business Users
  • Decision Makers
  • Data Scientists
  • Software Developers
  • Innovation Leaders
  • Product Managers
  • Digital Transformation Teams
  • Technology Strategists
  • Business Executives

Prerequisites of Industry Use Cases for Generative AI

  • No prerequisites required.  
  • Suitable for learners with varying levels of AI experience.  
  • Interest in business innovation and AI adoption.  
  • Basic understanding of business processes is beneficial.

Course outline for Industry Use Cases for Generative AI Download Course Outline

Topics

  • GenAI versus AI and Machine Learning
  • Generative AI Applications
  • Business Impact of Generative AI

Learning Outcomes

  • Define Generative AI as a subset of AI.
  • Differentiate Generative AI from traditional AI/ML approaches.
  • Understand the impact of Generative AI on organizations.
  • Identify common Generative AI applications.

Activities

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

Topics

  • Challenge and Use Case Definition
  • Business Value Assessment
  • Solution Components
  • Solution Demonstration and Discussion

Learning Outcomes

  • Understand marketing-focused AI use cases.
  • Evaluate customer engagement opportunities.
  • Identify business value generated through AI solutions.
  • Understand key solution components and stakeholder involvement.

Activities

  • Marketing Use Case Demonstration
  • Customer Outreach Scenario Analysis
  • Business Value Workshop

Topics

  • Challenge and Use Case Definition
  • Business Value Assessment
  • Solution Components
  • Solution Demonstration and Discussion

Learning Outcomes

  • Understand retail productivity use cases.
  • Evaluate operational efficiency improvements.
  • Identify AI opportunities within retail workflows.
  • Analyze business outcomes driven by AI adoption.

Activities

  • Retail Productivity Demonstration
  • Operational Efficiency Discussion
  • Use Case Evaluation Exercise

Topics

  • Generative AI Use Cases
  • Evaluation of Use Cases
  • Business Opportunity Identification
  • Prioritization Frameworks

Learning Outcomes

  • Identify potential AI opportunities within an organization.
  • Evaluate use cases based on value and feasibility.
  • Prioritize Generative AI initiatives effectively.
  • Develop a roadmap for AI-driven innovation.

Activities

  • Use Case Ideation Workshop
  • AI Opportunity Assessment Exercise
  • Group Discussion and Prioritization Activity

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Course ID: 29941

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FAQs for Industry Use Cases for Generative AI

This course is designed for business professionals, decision-makers, developers, analysts, and technology leaders interested in understanding Generative AI business applications.

No. The course is designed for learners with varying levels of AI knowledge and experience.

The course explores use cases from industries such as retail, marketing, customer engagement, software development, automotive, and financial services.

No. The course focuses primarily on business use cases, value realization, and AI opportunity identification rather than technical implementation.

The course introduces Vertex AI and Vertex AI Agent Builder.

Yes. The course includes structured frameworks for identifying, evaluating, and prioritizing Generative AI use cases.

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

Organizations can better understand AI opportunities, improve decision-making, accelerate innovation initiatives, enhance customer engagement, optimize operations, and create strategic roadmaps for Generative AI adoption.

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