Course Overview

In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.

After completing this course of training , you will be able to :

  • Describe how generative AI transforms organizations across business functions and industries.
  • Define core gen AI concepts (artificial intelligence, gen AI, machine learning, etc.).
  • Identify the core layers of the gen AI landscape (applications, agents, platforms, models, and infrastructure).
  • Explain how you can 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.

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Key Features Generative AI Leader;

  • Practical, Hands-On Learning

    • Emphasis on real-world application and practical implementation.
    • Includes “Try it” activities with the Gemini app and prioritization exercises.
    • Focus on developing automated workflows using generative AI prompt templates and tools.

     

  • Strategic Business Transformation:

    • Discover how generative AI transforms organizations across business functions and industries.
    • Explore Google-Cloud-recommended steps to successfully implement transformational gen AI solutions.
    • Learning how to effectively lead and manage organizational transformation with gen AI.

     

  • Foundation Model Mastery:

    • In-depth training on the role of foundation models in generative AI.
    • Understanding how generative AI uses foundation models to create value.
    • Describing Google-Cloud-recommended strategies for handling LLM limitations.

     

  • Prompt Engineering Expertise:

    • Explaining prompt engineering techniques and how they drive better results.
    • Developing skills to craft effective prompts for various generative AI applications.
    • Includes activities like “The better prompt technique” for practical application.

     

  • Google Cloud’s Unique Strengths:

    • Identifying Google Cloud’s unique strengths in the field of generative AI.
    • Describing the components of the Google Cloud gen AI portfolio.
    • Identifying Google Cloud’s unique strengths in the field of generative AI.
    • Describing the components of the Google Cloud gen AI portfolio.

     

  • Generative AI Agent Development:

    • Defining the components of generative AI agents and how they work together.
    • Explaining how to combine components to build powerful solutions.
    • Describing how to use Google Cloud’s gen AI products to create generative AI agents.

  • Responsible AI Integration:

    • Describing the challenges and key factors involved in responsibly and securely developing and deploying AI.
    • Discussing organizational roadblocks to responsible AI.
    • Understanding ethical considerations in generative AI solutions.

     

  • Landscape Navigation & Strategic Entry:

    • Describing the layers of the gen AI landscape.
    • Determining strategic entry points within the gen AI landscape to address specific business needs and drive innovation.
    • Describing business factors when deciding what to use for specific applications.

     

     

  • Real-World Application & Value Creation:

    • Exploring how generative AI creates value across different scenarios.
    • Understanding the core functionality and business value of using Gemini for Google Workspace and Google Cloud.
    • Activities like “Augmentation or automation?” and “Pick-a-product” for scenario application.

     

Who should Attend?

  • Machine learning engineers
  • Gen AI engineers.

What are the prerequisites for the training?

  • There are no prerequisites for the training

    • 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 of course

    • This course is intended for business professionals of all levels and job roles who want to contribute to their company's gen AI transformation.
    • For developers and hands-on practitioners, more in-depth technical training for Google Cloud AI/ML products is available in our specialized courses.

    Course Outline Download Course Outline

    Discover how generative AI transforms organizations across business functions and industries. Explore how generative AI uses foundation models and prompt engineering to create value. Identify Google Cloud's unique strengths in the field of generative AI. Explain the Google-Cloud-recommended steps to successfully implement a transformational gen AI solution

    • Introduction to gen AI for businesses
    • Introduction to gen AI foundations
    • Gen AI strategy
    • Discussions

    Define core generative AI concepts. Explain how data types are used in generative AI for business solutions, innovation, and competitive edge. Explain the role of foundation models in generative AI. Describe the Google-Cloud-recommended strategies for handling LLM limitations. Describe the challenges and key factors involved in responsibly and securely developing and deploying AI.

    • Core gen AI concepts
    • Foundation models
    • Responsible AI
    • Discussions

    Describe the layers of the gen AI landscape. Determine strategic entry points within the gen AI landscape to address specific business needs and drive innovation. Describe the components of the Google Cloud gen AI portfolio. Explain how Google Cloud’s AI-optimized resources support gen AI development. Describe the business factors to consider when deciding what to use for specific applications

    • The gen AI landscape
    • Gen AI agents and applications
    • Gen AI platform, model, and infrastructure
    • Gen AI project resources and management
    • Discussions

    Explain prompt engineering techniques and how they drive better results. Develop automated workflows by using generative AI prompt templates and tools. Describe the core functionality and business value of using Gemini for Google Workspace. Describe the core functionality and business value of using Gemini for Google Cloud

    • Prompting techniques
    • Gen AI for productivity
    • Gemini for Google Cloud
    • Discussion

    Define the components of generative AI agents and how they work together. Explain how you can combine the components of generative AI agents to build powerful solutions. Describe how you can use Google Cloud’s gen AI products to create generative AI agents and solutions. Explain how to effectively lead and manage organizational transformation with gen AI

    • Today’s agents
    • Building agents
    • Enhancing the customer experience with agents
    • Discussion

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    Course ID: 25069

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