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Prompt Engineering on AWS Training in London and Live Online

Prompt Engineering on AWS

Develop and evaluate prompts for generative AI workloads using AWS services such as Amazon Bedrock. Practise structured instructions, grounding and responsible handling of model outputs.

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Beginner

Basic AI literacy and computer skills. Some AWS familiarity is useful for technical exercises.

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Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Develop and evaluate prompts for generative AI workloads using AWS services such as Amazon Bedrock. Practise structured instructions, grounding and responsible handling of model outputs.


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 model behaviour and task definition in a practical course exercise.

Apply prompt structure and examples in a practical course exercise.

Apply grounding with business information in a practical course exercise.

Apply structured output and workflows 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.

Distinguish model capabilities from application requirements. Define useful tasks, constraints and output quality criteria.

Write clear instructions, context and demonstrations. Compare outputs while changing one prompt element at a time.

Supply relevant source material and test unsupported claims. Explain retrieval concepts and information freshness limits.

Request consistent outputs and validate their format. Design human review for consequential or ambiguous results.

Recognise prompt injection and sensitive data risks. Apply permissions, filtering and suitable evaluation safeguards.

Create a small test set, compare model responses and track quality, latency and cost before selecting a prompt.

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.

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FAQs

Who is this course for?
Develop and evaluate prompts for generative AI workloads using AWS services such as Amazon Bedrock. Practise structured instructions, grounding and responsible handling of model outputs.

Basic AI literacy and computer skills. Some AWS familiarity is useful for technical exercises.

Model behaviour and task definition; Prompt structure and examples; Grounding with business information; Structured output and workflows; Safety and data handling; Evaluation and iteration.

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.

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