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    Generative AI Essentials on AWS - 1 Day - AWS Authorised Instructor Led

     Info
    n this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems. By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization. • Course level: Fundamental • Duration: 1 day

    Overview

    Lead the Generative AI Revolution: Build Responsible, Strategic Solutions for Real-World Impact

    In this course, you will learn to master the foundational concepts, methods, and strategies behind generative AI and machine learning. Understand how to apply these transformative technologies responsibly and safely, while identifying the right use cases that deliver measurable business value. You’ll gain the knowledge to plan, implement, and communicate generative AI initiatives within your organization—empowering you to lead with confidence and innovation. Whether you're shaping strategy or driving execution, this course equips you with the tools to turn AI potential into real-world results. Enroll now and become a catalyst for AI-powered transformation.

    Activities

    This course includes presentations, hands-on labs, demonstrations, and group exercises.

    Course objectives

    In this course, you will learn to:

    • Summarize generative AI concepts, methods, and strategies

    • Discuss the appropriate use of generative AI and machine learning and their technologies

    • Describe how to use generative AI responsibly and safely

    • Recognize the types of generative AI solutions with specific use cases

    • Explain implementation and project planning of generative AI to your organization Intended audience

    This course is intended for those with limited prior knowledge of generative AI:

    • Business analysts

    • IT supports

    • Marketing professionals

    • Product or project managers

    • Line-of-business or IT managers

    • Sales professionals

    Prerequisites

    We recommend that attendees of this course have:

    • None

    Course outline

    Day 1 Module 1: Introducing Generative AI

    • Generative AI explained

    • Foundation models

    • AWS generative AI services

    • Demo: Generative AI solution

    Module 2: Exploring Generative AI Use Cases

    • Identify suitable use cases

    • Generative AI applications and use cases

    • Explore generative AI use case scenarios

    • Use case for class

    Module 3: Essentials of Prompt Engineering

    • Introduction to prompt engineering

    • Prompt design best practices

    • Advanced prompting strategies

    • Model settings and parameters

    • Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock

    Module 4: Responsible AI Principles and Considerations

    • Introduction to responsible AI

    • Core dimensions of responsible AI

    • Generative AI considerations

    • Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails

    Module 5: Security, Governance, and Compliance

    • Security overview

    • Adverse prompts

    • Generative AI security services

    • Governance

    • Compliance

    Module 6: Implementing Generative AI Projects

    • Introduction – Generative AI application

    • Define a use case

    • Select a foundational model

    • Improve performance

    • Evaluate results

    • Deploy the application

    • Demo: Amazon Q Business

    Module 7: Integrating Generative AI into the Development Lifecycle • Introduction

    • Hands-on Lab: Capstone – Creating a Project Plan with Generative AI Module 8: Course Wrap-up

    • Next steps and additional resources

    • Course summary

    Highlights

    • Build Foundational Knowledge of Generative AI Understand core generative AI concepts, methods, and strategies, and how they differ from traditional machine learning approaches.
    • Identify Practical Use Cases and Implementation Strategies Learn how to recognize suitable generative AI solutions for real-world use cases and effectively plan and implement projects within your organization.
    • Apply Responsible and Safe AI Practices Gain insights into ethical and responsible use of generative AI technologies, ensuring secure and compliant adoption across business functions.

    Details

    Delivery method

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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