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Generative AI Essentials on AWS

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    Apply generative AI concepts, methods, and strategies to business scenarios.
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    Assess when to use generative AI, machine learning, and related technologies.
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    Use generative AI responsibly, safely, and ethically.
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    Identify suitable generative AI solutions for specific use cases.
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    Evaluate opportunities for adopting generative AI within their organisation.
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    Contribute to the planning and implementation of generative AI initiatives.
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    Communicate the value, benefits, and considerations of generative AI to stakeholders.

Overview

Off the shelf (OTS)

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

  • Business analysts
  • IT support
  • Marketing professionals
  • Product or project managers
  • Line-of-business or IT managers
  • Sales professionals

Prerequisites

There are no prerequisites for this course.

Overview

In this course 1 day 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.

Outline

Module 0: Course Introduction
• Course structure/schedule
• Five-phase learning journey
• Responsible AI foundational theme
Module 1: Responsible AI Foundations
• AI evolution: from traditional to generative
• Eight dimensions of responsible AI
• AWS commitment to responsible AI
Module 2: Introducing Generative AI
• Generative AI Foundation
• Foundation models and embeddings deep dive
• Amazon Bedrock and Amazon Nova 2 models
• Comparing models
Module 3: Multi-Modal AI and use cases
• Multimodal AI capabilities
• Industry applications and use cases
• Use case evaluation framework
Module 4: Essentials of prompt engineering
• Prompt engineering fundamentals
• Prompting strategies
• Prompt security and attach vectors
• Lab 1 - Optimizing Slogan Generation with Amazon Bedrock
Module 5: Implementing responsible AI with Amazon Bedrock Guardrails
• Amazon Bedrock guardrails overview and configuration
• Lab 2 - Implementing Responsible AI Principles with Amazon Bedrock Guardrails
Module 6: Introduction to Amazon Agents
• Agentic AI concepts
• Amazon Bedrock capabilities
• Amazon Bedrock AgentCore overview
• RAG and Knowledge Bases
Module 7: Introduction to Security, Governance, and Compliance
• From security principles to organizational accountability
• Governance frameworks
• Compliance requirements
Module 8: Implementing generative AI projects
• Project planning fundamentals
• Lab 3: Building an HR Assistant with Amazon Bedrock
Module 9: Summary
• Learning journey recap
• Next steps
Delivery method
Face to face icon

Face to face

Virtual icon

Virtual

Course duration
Duration icon

7 hours

Competency level
Working icon

Working

Pink building representing strand 4 of the campus map
Delivery method
  • face to face icon

    Face to face

  • Virtual icon

    Virtual

Course duration
Duration icon

7 hours

Competency level
  • Working icon

    Working

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