Course Overview:

This course is designed to help professionals explore generative AI (Gen AI) use cases across specific industries using Google Cloud. After discussing generative AI in general, you will do a deep dive into two generative AI use cases and then explore your own use case within the same framework. 

After completing this course, participants will be able to:

  • Define Generative AI and differentiate it from traditional AI/ML approaches
  • Identify real-world applications of Generative AI across various industries
  • Understand the potential business impact and strategic value of GenAI initiatives
  • Analyze specific industry use cases, including marketing/customer outreach and retail store productivity
  • Break down GenAI solutions into their core components and team responsibilities
  • Evaluate the feasibility, value, and implementation needs of GenAI-powered solutions

Upcoming Batches

Loading Dates...

Key Features:

  • Practical, Hands-On Learning: The course provides both introductory and advanced insights into Gen AI, making it suitable for individuals with varying levels of AI expertise. 

  • End-to-End AI Lifecycle Coverage: The course covers the full lifecycle, from understanding generative AI concepts to ideating and evaluating your own use cases. 

  • Tool-Centric Approach: Gain familiarity with generative AI tools available on Google Cloud, including Gemini and Vertex AI Agent Builder. 

  • Introductory-Level Curriculum: This is an introductory course that requires no prior experience with AI or machine learning. 

  • Instructor-Led, 3-Hour Format: Delivered in a focused, instructor-led format, ideal for gaining essential skills quickly. 

  • Interactive and Engaging Modules: Four structured modules focus on core concepts, with clear objectives and a solution demo for each use case. 

  • Business-Focused AI Applications: The course focuses on real-world generative AI use cases across industries such as retail, automotive, software development, and financial services. 

  • Google Cloud Ecosystem Orientation: The course highlights how different generative AI tools fit into the Google Cloud ecosystem. 

  • Clear Learning Objectives and Outcomes: The course has defined objectives for each module, ensuring participants gain tangible skills. 

  • Focus on Business Value: Participants will learn to identify, evaluate, and prioritize possible generative AI applications in their own organization. 

Who should Attend?

  • Business analysts
  • Data scientists
  • Software developers
  • Business users and decision-makers.

Prerequisites:

There are no prerequisites for this course.

Why choose CloudThat as your training partner?

  • 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.

Course Outline: Download Course Outline

Topics

  • GenAI versus AI/ML
  • GenAI Applications
  • Business Impact of GenAI

Objectives

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

Topics

  • Challenge and use case definition • Value to business
  • Components of the solution
  • Solution demo and discussion

Objectives

  • Understand the business use case to be discussed.
  • Discuss the business value of implementing a Gen-AI-powered solution.
  • Understand the solution components and which teams would be responsible.

Topics

  • Challenge and use case definition
  • Value to business
  • Components of the solution
  • Solution demo and discussion

Objectives

  • Understand the business use case to be discussed.
  • Discuss the business value of implementing a Gen-AI-powered solution.
  • Understand the solution components and which teams would be responsible.

Topics

  • Generative AI use cases
  • Evaluation of use cases

Objectives

  • Identify possible generative AI use cases
  • Evaluate and discuss generative AI use cases

Certification Details:

    CloudThat Course Completion Certificate

Click to Zoom

Select Course date

Loading Dates...
Add to Wishlist

Course ID: 26067

Course Price at

Loading price info...
Enroll Now

FAQs:

This course is for professionals across various roles, including business analysts, data scientists, software developers, and business users.

It is a 3-hour, instructor-led course.

This is an introductory course with no prerequisites.

You will learn about real-world generative AI use cases across different industries and how to identify and prioritize applications in your own organization.

Yes, you will become familiar with Gemini and Vertex AI Agent Builder.

Yes, the course begins by defining generative AI and discussing how it differs from traditional AI and machine learning.

Participants will gain insights into real-world use cases and how to identify and prioritize possible applications in their organization.

Yes, the final module is dedicated to ideating and evaluating your own generative AI use cases.

The course includes solution demos and discussions to help you understand the components of a solution.

Yes, the course has no prerequisites and is designed to provide both introductory and advanced insights.

Enquire Now