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Generative AI Essentials on AWS

  • Course Code GK910027
  • Duration 1 day

Course Delivery

Virtual Learning Price

£845.00

excl. VAT

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Course Delivery

This course is available in the following formats:

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

Request this course in a different delivery format.

Course Overview

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The course covers foundational concepts in responsible AI, provides practical experience with AWS generative AI services (Amazon Bedrock, Amazon Nova 2, Amazon Bedrock Knowledge Bases, and Amazon Bedrock AgentCore).

 

Participants gain hands-on implementation experience with responsible AI principles through Amazon Bedrock Guardrails. Responsible AI serves as a foundational theme throughout all modules, connecting ethical principles to technical implementation. Participants progress from understanding AI fundamentals through implementing solutions, exploring agentic AI capabilities, understanding security and governance considerations, and describing project planning components. Approximately 40% of course time is dedicated to hands-on labs and demonstrations.

- Course level: Fundamental

- Duration: 1 day

 

Updated August 2026

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Course Schedule

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    • Delivery Format: Virtual Learning
    • Date: 16 October, 2026 | 9:00 AM to 5:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £845.00

    • Delivery Format: Virtual Learning
    • Date: 11 December, 2026 | 9:00 AM to 5:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £845.00

    • Delivery Format: Virtual Learning
    • Date: 09 February, 2027 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £845.00

    • Delivery Format: Virtual Learning
    • Date: 09 March, 2027 | 9:00 AM to 5:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £845.00

    • Delivery Format: Virtual Learning
    • Date: 10 August, 2027 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £845.00

    • Delivery Format: Virtual Learning
    • Date: 07 September, 2027 | 9:00 AM to 5:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £845.00

Target Audience

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Generative AI Essentials on AWS is a comprehensive one-day, instructor-led training course designed for professionals with limited prior knowledge of generative AI.

This course is intended for:

- Business Analysts 

- IT Support Professionals 

- Marketing Professionals 

- Product or Project Managers 

- Line-of-Business or IT Managers 

- Sales Professionals 

Course Objectives

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In this course, you will learn to do the following:

  • Explain responsible AI foundations
  • Describe multimodal AI capabilities
  • Implement generative AI solutions using Amazon Bedrock and Amazon Nova 2
  • Explain how retrieval-augmented generation (RAG) enhances AI responses by connecting agents to organizational knowledge sources
  • Describe Amazon Bedrock AgentCore capabilities
  • Apply responsible AI practices using Amazon Bedrock Guardrails
  • Explain security and governance considerations
  • Describe key components of generative AI project planning

Course Content

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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

Course Prerequisites

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  • None - No prior AI or generative AI knowledge required

Test Certification

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None

Further Information

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Activities:

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