+44 (0) 2080 049141info@londonittraining.co.uk

LONDON IT TRAINING

Find your next course

Explore our training courses by subject, skill or certification.

All courses

Classroom · Live online · Training for teamsFind the right course for your next step.
  1. Home
  2. »
  3. Generative AI Essentials on AWS
Instructor-led training
Generative AI Essentials on AWS Training in London and Live Online

Generative AI Essentials on AWS

Understand generative AI concepts and explore practical AWS use cases. Assess foundation models, Amazon Bedrock, responsible adoption and the commercial and technical choices behind a useful solution.

Request Course Information
Price:
Price on request

Contact us for current fees, dates and exam arrangements.

Beginner

No machine learning background is required. Basic cloud knowledge is helpful.

Contact us for duration to complete
Available online
& in class

Select your preferred method

Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Understand generative AI concepts and explore practical AWS use cases. Assess foundation models, Amazon Bedrock, responsible adoption and the commercial and technical choices behind a useful solution.


This instructor-led course combines clear explanations with guided exercises and practical scenarios. Work through examples relevant to the subject, review alternative approaches and practise checking your results rather than relying on a demonstration alone.
You will develop a structured approach to implementation, troubleshooting and documentation. The trainer can adapt examples to the agreed learning needs and available training environment. Confirm the course duration, software or lab requirements, delivery arrangements and fees with London IT Training before booking.
This is professional development training. It does not automatically award a third-party vendor certification.
What the course covers
Flexible Ways to Learn

Study your way with flexible learning options designed to fit around your schedule.

Small Groups

With small groups of students, our instructors can work closely with each student

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend or evening to suit your schedule.

Experienced Instructors

Our instructors follow a modified and personalised approach to engage students during class

Hi-Tech lab Facilities

Lab arrangements vary by course. Confirm access and equipment requirements before booking.

Prerequisites
What you’ll gain

Apply generative ai foundations in a practical course exercise.

Apply aws ai service landscape in a practical course exercise.

Apply business use case selection in a practical course exercise.

Apply prompting and grounding in a practical course exercise.

Develop skills for your next step
Relevant career pathways
Technical Practitioner:

Apply the course skills to relevant technical tasks.

Technical Consultant:

Assess requirements and recommend practical implementation choices.

Syllabus

Course context and practical foundations
Review the course objectives and relevant concepts. Set up a suitable training environment, identify a realistic example and agree how to validate the results.

Explain foundation models, tokens and common application patterns. Distinguish generation from reliable factual retrieval.

Compare managed model access and model development options. Relate service choices to team skills and workload needs.

Assess drafting, search, summarisation and assistant scenarios. Define measurable value and realistic limits.

Explore instructions, examples and retrieval-augmented generation. Evaluate how context affects output usefulness and risk.

Discuss privacy, intellectual property, security and human oversight. Define controls for a sample business use case.

Compare quality, latency, model cost and operational effort. Build a small evaluation plan and adoption roadmap.

Complete an integrated exercise using sample data or an isolated training environment. Test the result, document decisions and troubleshooting steps, and identify improvements and next learning objectives.

1
2
3
4
5
6
7

FAQs

Who is this course for?
Understand generative AI concepts and explore practical AWS use cases. Assess foundation models, Amazon Bedrock, responsible adoption and the commercial and technical choices behind a useful solution.

No machine learning background is required. Basic cloud knowledge is helpful.

Generative AI foundations; AWS AI service landscape; Business use case selection; Prompting and grounding; Responsible adoption; Solution evaluation and economics.

No. This is professional development training. It does not automatically award a third-party vendor certification.

Contact London IT Training to discuss classroom, live online and corporate delivery arrangements.

Contact the training team for current duration, available dates, fees and software or lab requirements. Do not assume that licences, materials or examination fees are included.

Need help choosing the right course?

Talk to one of our advisers about dates, delivery options and certification routes. We’ll call you back within 1 working day.

LONDON IT TRAINING

Let’s plan
your next step.

Tell us what you would like to learn.

  • Course guidance
  • Dates and delivery
  • Training for teams

Your details are used to respond to your enquiry. Privacy Policy