Course Overview:

This course is designed specifically for business users and decision-makers seeking a foundational understanding of generative AI. It covers the distinction between generative AI and other forms of AI, introduces key personas and use cases, and explores the ethical dimensions of responsible AI. Through interactive lectures and case study analysis, the course inspires leaders to explore how generative AI can create impact across business functions using Google Cloud technologies such as Vertex AI and Gemini. 

After completing this course, participants will be able to:

  • Define generative AI and differentiate it from traditional AI/ML
  • Explore the business impact and organizational use cases of generative AI
  • Identify personas and roles within an organization that can benefit from generative AI
  • Understand Google's Responsible AI principles and privacy practices
  • Evaluate generative AI use cases using frameworks and case studies

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Key Features:

  • Business-Oriented Curriculum: Specifically tailored for non-technical decision-makers 

  • Google Cloud Tools Overview: Explore solutions like Vertex AI, Agent Builder, and Gemini 

  • Responsible AI Practices: Understand ethical and privacy-related considerations 

  • Persona-Based Learning: Align generative AI tools with business, developer, and AI roles 

  • Use Case Evaluation: Includes frameworks for identifying and prioritizing generative AI projects 

Prerequisites:

There are no prerequisites. The course is designed to accommodate a wide range of learners, including those with no technical background.

Why choose CloudThat as your training partner?

  • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
  • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
  • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
  • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
  • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
  • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
  • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
  • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

Learning Objective:

  • To enable business decision-makers to confidently identify, assess, and advocate for generative AI applications within their organizations, guided by ethical practices and powered by Google Cloud services.

Course Outline: Download Course Outline

Topics

  • Gen AI versus traditional AI/ML
  • Applications of Gen AI
  • Business impact of Gen AI

Objectives

  • Define generative AI as a subset of AI
  • Discuss the potential impact of AI on organizations
  • rovide examples of generative AI applications

Activities

  • Lecture, Discussion, Demo

Topics

  • Identifying personas for GenAI adoption
  • Google Workspace use cases for business users
  • Enterprise AI vs consumer AI
  • Tools for AI practitioners and developers (Vertex AI, Agent Builder)

Objectives

  • Define the different personas in your organization for generative AI
  • Explore different GenAI services aligned with user roles

Activities

  • Lecture, Use Case Discussion, Demo

Topics

  • Google's AI principles
  • Pillars of Responsible AI at Google
  • Data privacy considerations
  • Customer responsibilities using GenAI

Objectives

  • Understand Google's approach to Responsible AI
  • Discuss data privacy in the context of generative AI
  • Explain user responsibilities when adopting GenAI tools

Activities

  • ecture, Discussion, Quiz

Topics

  • Identifying and scoping GenAI use cases
  • Evaluating and prioritizing use cases
  • Steps to launching a GenAI project
  • Collaborative case study review

Objectives

  • Identify possible generative AI use cases
  • Evaluate and discuss generative AI projects within an organization

Activities

  • Workshop, Discussion, Case Study

Certification Details:

    CloudThat Course Completion Certificate

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Course ID: 26157

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FAQs:

It’s aimed at business leaders, department heads, and decision-makers with interest in exploring generative AI for their organization.

No. This course requires no prior technical knowledge and is suitable for non-engineering roles.

You’ll learn about the basics of generative AI, personas, applications, responsible AI, and use case evaluation.

The session runs for approximately 3 hours in an instructor-led format.

The course includes guided examples and interactive case study discussions, not technical labs.

Yes. The course introduces tools like Vertex AI, Gemini, and Agent Builder as part of the GenAI ecosystem.

Absolutely. A dedicated module covers Google’s Responsible AI pillars and privacy considerations.

You’ll explore industry-wide applications and learn to evaluate use cases using structured frameworks.

It helps you identify impactful generative AI opportunities and align them with organizational goals.

Yes. You’ll receive a CloudThat Course Completion Certificate upon finishing the course.

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