Cloud Private

Generative AI Essentials on AWS (AWS_GENAI101)

1 day
AWSAICloud

Learn generative AI concepts, use cases, prompt engineering, responsible AI, and project planning using AWS services like Amazon Bedrock and Guardrails.

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  • Private class for your team
  • Live expert instructor
  • Online or on‑location
  • Customizable agenda
  • Proposal turnaround within 1–2 business days
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Course Overview

This course introduces the fundamental concepts, methods, and strategies for using generative AI on AWS. You will explore where generative AI can address business needs, review key AWS technologies that support generative AI solutions, and apply practical techniques such as prompt engineering and responsible AI practices.

By the end of the course, you will be prepared to discuss implementation considerations and project planning for bringing generative AI into your organization.

Course Benefits

  • Summarize core generative AI concepts, methods, and strategies
  • Identify appropriate use cases for generative AI and related machine learning technologies
  • Apply prompt engineering best practices and advanced prompting strategies
  • Describe how to use generative AI responsibly and safely
  • Recognize types of generative AI solutions and map them to specific use cases
  • Explain implementation considerations and project planning for generative AI initiatives

Delivery Methods

Private Class
Delivered for your team at your site or online.

Authorized AWS Training

Webucator has partnered with an Authorized AWS training delivery partner to offer official AWS courses utilizing Amazon Authorized Instructors.

Course Outline

  1. Introducing Generative AI
    1. Generative AI explained
    2. Foundation models
    3. AWS generative AI services
    4. Demo: Generative AI solution
  2. Exploring Generative AI Use Cases
    1. Identify suitable use cases
    2. Generative AI applications and use cases
    3. Explore generative AI use case scenarios
    4. Use case for class
  3. Essentials of Prompt Engineering
    1. Introduction to prompt engineering
    2. Prompt design best practices
    3. Advanced prompting strategies
    4. Model settings and parameters
    5. Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock
  4. Responsible AI Principles and Considerations
    1. Introduction to responsible AI
    2. Core dimensions of responsible AI
    3. Generative AI considerations
    4. Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails
  5. Security, Governance, and Compliance
    1. Security overview
    2. Adverse prompts
    3. Generative AI security services
    4. Governance
    5. Compliance
  6. Implementing Generative AI Projects
    1. Introduction – Generative AI application
    2. Define a use case
    3. Select a foundational model
    4. Improve performance
    5. Evaluate results
    6. Deploy the application
    7. Demo: Amazon Q Business
  7. Integrating Generative AI into the Development Lifecycle
    1. Introduction
    2. Hands-on Lab: Capstone – Creating a Project Plan with Generative AI
  8. Course Wrap-up
    1. Next steps and additional resources
    2. Course summary

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

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