Course Overview:

As generative AI becomes more mainstream, the ability to craft effective prompts is becoming a critical skill across industries. This course introduces the fundamentals of working with large language models and explores techniques for improving outputs using prompt design and prompt engineering. Participants will also gain insights into working with multimodal models like Gemini Vision Pro, learning how to design and troubleshoot prompts for varied use cases. 

After completing this course, participants will be able to:

  • Understand the basics of generative AI and how it differs from traditional AI
  • Design effective prompts using proven strategies
  • Improve model outputs through prompt engineering techniques like few-shot and chain-of-thought prompting
  • Interact effectively with multimodal models using tools such as Gemini Vision Pro

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Key Features:

  • Hands-on Labs: Labs on prompt design, improving prompts, and working with Gemini Vision Pro

  • Comprehensive Techniques: Covers prompt design, prompt engineering, zero-shot/few-shot learning, and chain-of-thought prompting

  • Multimodal Learning: Includes guidance for designing prompts for text + image models

  • Beginner Friendly: No prerequisites required; built for learners at all levels

  • Google Cloud Tools: Course aligns with tools like Vertex AI and Gemini models

Prerequisites:

  • There are no prerequisites. This course is designed to provide both introductory and advanced insights, making it suitable for learners with varying levels of AI knowledge.

    • 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.
    • 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.
    • 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.

    Learning Objective:

    • After completing this course, students will be able to design and optimize prompts for large language and multimodal models like Gemini Vision Pro, applying foundational and advanced prompt engineering techniques.

    Course Outline: Download Course Outline

    Topics

    • Gen AI vs. AI/ML
    • Gen AI Applications
    • Business Impact of Gen AI

    Objectives

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

    Objective

    • Lecture, Discussion, Demo

    Topics

    • Prompt content types
    • Prompt design strategies
    • Iterating prompts for improvement

    Objectives

    • Understand the role of context and examples in prompts
    • Iterate on prompts to improve model output

    Activities

    • Lecture
    • Lab: Introduction to Prompt Design
    • Wrap-up

    Topics

    • Prompt design vs prompt engineering
    • Zero-shot and few-shot prompting
    • Chain-of-thought prompting
    • Overview of additional techniques

    Objectives

    • Describe the difference between prompt design and prompt engineering
    • Write prompts using few-shot and chain-of-thought techniques
    • Learn about additional prompt engineering techniques being used today

    Activity

    • Lecture
    • Lab: Improving Your Prompts
    • Q&A

    Topics

    • What is a multimodal model?
    • Prompt design strategies
    • Best practices for multimodal prompts
    • Troubleshooting your multimodal prompt

    Objectives

    • Understand the multimodal models and their use cases
    • Design effective prompts for multimodal models

    Activities

    • Lecture
    • Lab: Writing Prompts for Gemini Pro Vision
    • Discussion

    Certification Details:

      CloudThat Course Completion Certificate

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    Course ID: 26131

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    FAQs:

    This course teaches how to craft effective prompts for generative AI and multimodal models to improve model interaction and output.

    It is a 3-hour instructor-led workshop delivered remotely.

    No. The course is suitable for beginners and advanced learners alike.

    Vertex AI and Gemini are used, with focus on the Gemini Vision Pro model.

    Labs include prompt design basics, advanced prompt improvement, and multimodal prompt creation.

    Yes. You’ll learn zero-shot, few-shot, and chain-of-thought prompting, along with best practices.

    Absolutely. A full module is dedicated to prompts for models that handle both text and images.

    The skills taught help you apply prompt engineering in business scenarios, content creation, and automation.

    Yes, it’s ideal for professionals aiming to adopt generative AI within business processes.

    Yes. A CloudThat course completion certificate is provided after successfully completing the training.

    Enquire Now