Preloader spinner

Our Generative AI Essentials on AWS Course is a 1-day, instructor-led training course for business decision-makers and professionals who want to understand how generative AI can address real organisational needs.

This foundation-level AWS course explains generative AI concepts, foundation models, useful business scenarios, prompt engineering, responsible AI, security, governance and compliance. Participants also explore how to plan a generative AI project and use AWS services such as Amazon Bedrock and Amazon Q Business.

Laptop displaying the text AWS

Course Schedule

16
Oct 2026
Duration:

1 day

An icon of a clock

9:00am - 5:00pm

An icon representing a location

Online Live

Price:
Discounted Price:

£695 per delegate

11
Dec 2026
Duration:

1 day

An icon of a clock

9:00am - 5:00pm

An icon representing a location

Online Live

Price:
Discounted Price:

£695 per delegate

9
Feb 2027
Duration:

1 day

An icon of a clock

8:00am - 4:00pm

An icon representing a location

Online Live

Price:
Discounted Price:

£695 per delegate

Course Code: GK910027

Duration: 1 day

Course Overview

This fundamental course introduces the concepts, methods and strategies behind generative AI. It helps participants identify suitable business use cases, understand relevant AWS technologies and discuss how a generative AI project could be planned and implemented within their organisation.

Target Audience

This course is designed for business decision-makers and other professionals who want a practical understanding of generative AI without needing a technical background.

Course Objectives

  • Explain core generative AI concepts, methods and strategies.
  • Recognise appropriate generative AI and machine learning use cases.
  • Describe responsible and secure use of generative AI.
  • Understand prompt engineering principles.
  • Discuss implementation and project planning within an organisation.

Course Content

  • Generative AI, foundation models and AWS AI services.
  • Business applications and use-case selection.
  • Prompt engineering and model settings.
  • Responsible AI principles and Amazon Bedrock Guardrails.
  • Security, governance and compliance.
  • Planning and implementing a generative AI project.
  • Amazon Q Business and generative AI in the development lifecycle.

Course Prerequisites

There are no formal prerequisites.

Note - This course is delivered via our training partner Skillsoft Global Knowledge.

Global Knowledge logo

Public Schedule

RRP:  
£845 per delegate
Our price:  
£695 per delegate

Private Virtual Training (Teams / Zoom)

N/A

Private Onsite Training (at your offices)

N/A

Note

All prices exclude VAT at 20%.

VAT registration number: 450 4347 14

ENQUIRE or request a booking

You may also like...

Developing Generative AI Applications on AWS

Learn to develop generative AI applications on AWS with this advanced course. Explore Amazon Bedrock, prompt engineering, and architecture patterns.

An icon of a clock
Duration:

2 days

Security Engineering on AWS

Enhance AWS security skills in this three-day course. Learn to use AWS security services, implement best practices, and ensure compliance.

An icon of a clock
Duration:

3 days

AWS Security Essentials

Understand AWS security basics in this one-day course. Learn about access control, encryption, and securing your AWS infrastructure.

An icon of a clock
Duration:

1 day

Enquire or request a booking

Generative AI Essentials on AWS

If you would like to book a scheduled course, please let us know the number of delegates and your preferred date(s).
We will confirm availability and send you a booking form to complete.

Thank you!

Your enquiry has been received and we will come back to you shortly.

If you don’t hear from us within 2 working days, please check your junk or spam folder, just in case our response has ended up there.
Oops! Something went wrong while submitting the form.

Join our mailing list

Receive details on our new courses and special offers

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.