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Bespoke AI Prompt Engineering for Developers - 1 Day Training

Key Course Details:

Level:

Intermediate

Location:

UK Centres, Online, Onsite

Class, Online, Onsite

Duration:

1 Day (10am-5pm)

Price:

From £795 + VAT

Dates:

Dates to suit you

Learn how to write more effective prompts for AI-assisted coding and development workflows. This practical 1-day course explores how developers can improve AI output, automate tasks and build more reliable AI-supported workflows.

Topics can be tailored to your organisation’s coding environments, workflows and development requirements. Example tools, languages and AI platforms may vary depending on team needs and technical goals. This bespoke Prompt Engineering training is available live online, onsite at your offices or at one of our centres in London, Manchester or Glasgow.

Overview Full Outline Location Options Related Courses Client Reviews

Bespoke AI Prompt Engineering for Developers - 1 Day Training

Course Details

This practical 1-day course explores how developers can use prompt engineering techniques to improve the quality, consistency and usefulness of AI-assisted coding workflows.

You will learn how AI coding assistants interpret prompts, context and instructions, and how to structure requests that produce clearer, more accurate and more maintainable outputs. The course focuses on practical development scenarios, helping delegates build repeatable prompting techniques that support coding, debugging, refactoring and project planning workflows.

Training is designed around real-world software development rather than a single language, framework or AI platform. Sessions can be adapted to your organisation’s workflows, coding standards and technical environments to ensure practical and relevant outcomes for your team.

By the end of the course, delegates will have a stronger understanding of how to communicate effectively with AI coding tools, reduce poor-quality output and establish more efficient AI-assisted development practices.

Course Target Audience and delegate prerequisites:

This course is intended for developers, technical teams and digital professionals who want to improve the way they work with AI coding assistants and AI-powered development tools.

It is suitable for anyone using AI to support coding, debugging, documentation, planning or software development workflows.

The course is particularly useful for organisations exploring AI-assisted development practices and teams looking to improve consistency, productivity and code quality when working with AI tools.

Delegates should have experience writing or working with code and a basic understanding of software development workflows.

No prior experience with prompt engineering is required, although familiarity with AI coding assistants is beneficial.

View Full Course Outline
Full Course Outline

The following is a general outline. The range of topics covered during your training is dependent upon student level, time available and preferences of your course booking.
Introduction to Prompt Engineering
- Understanding how AI coding tools interpret prompts
- How prompt quality affects AI-generated output
- Common prompt engineering concepts and terminology
- Understanding strengths and limitations of AI-assisted coding
Writing Effective Coding Prompts
- Structuring prompts for development tasks
- Creating clear and specific requests
- Improving prompt accuracy and consistency
- Reducing vague or unreliable AI output
Working with Context and Instructions
- Providing useful project context
- Using examples and reference material effectively
- Managing context across larger projects
- Creating reusable prompt structures
Prompting for Different Development Tasks
- Generating and refining code
- Debugging and troubleshooting
- Refactoring and improving maintainability
- Generating documentation and comments
Custom Instructions and Workflow Design
- Creating reusable AI instructions
- Applying coding standards and conventions
- Building structured AI-assisted workflows
- Managing consistency across teams
Prompt Engineering for Planning and Architecture
- Using AI to support project planning
- Breaking projects into manageable tasks
- Generating technical ideas and structures
- Reviewing and validating AI suggestions
Reviewing and Validating AI Output
- Identifying poor-quality AI responses
- Checking accuracy and maintainability
- Understanding risks and limitations
- Knowing when manual intervention is required
Building Repeatable AI-Assisted Workflows
- Creating consistent prompting strategies
- Improving productivity with AI tools
- Integrating prompt engineering into development workflows
- Applying prompt engineering to real-world coding projects
Training Location Options
Online ↓ London ↓ Manchester ↓ Glasgow ↓ Onsite ↓
This course is offered for your convenience at one of our bespoke training centres in London, Manchester and Glasgow, Remote Online, or Onsite at your offices anywhere in the UK. Just let us know what would work best for you or your team.

Remote Online

Delivered Online to your location

Live online training offers an extremely flexible and convenient way of covering the same content as our bespoke classroom based courses. You will receive professional, certified design training from one of our experienced instructors direct to your screen, offering the perfect solution for those wishing to learn without having to travel.
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Remote Online Training Courses

Central London

5 St John’s Lane, Clerkenwell, EC1M 4BH

St John’s Lane is located in the heart of Clerkenwell close to the junction of Farringdon and Clerkenwell Road. Farringdon tube & train station is just a few minutes away and the training centre can also be accessed from Chancery Lane and Barbican tubes in about 10 minutes. There is also easy direct access by bus from Waterloo (243) and West End (55) with nearby stops.
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London Training Centre

Central Manchester

Piccadilly House, 49 Piccadilly, M1 2AP

Piccadilly House is located in central Manchester directly next to the Piccadilly Gardens transport interchange with excellent bus and tram connections and is easily accessed from Piccadilly train Station (5 mins). Victoria station is also close by (around 10 mins).
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Manchester Training Centre

Central Glasgow

Centrum Business Centre, 38 Queen Street, G1 3DX

The Queen Street training centre is located in central Glasgow within easy walking distance of the 3 local train options of Central Station, Queen Street and Argyle Street offering excellent transport connections.
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Glasgow Training Centre

Onsite

Onsite at your Offices/Premises

If you have the required set up and would prefer to have the training at your location we will be able to deliver the same session onsite at your premises as in our training centres. This will provide you with the same tailored training but without the need to travel and less disruption to you or your teams work schedule.
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Onsite Training
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Frequently Asked Questions:

What dates are available for this course?

As a bespoke course the date arrangement is based around your requirements and availability in our schedule. With your guide of when you are looking for the training we will advise suitable date options ahead of finalising the planned date(s).

Can the content be tailored to my requirements?

Yes we are flexible about tailoring content and can adapt to be fully based on your requirements, a mixture of content from different levels of our base courses or a base outline with some additional focus areas.

Can this course be delivered live online?

Yes we can provide the same bespoke course as a live online session connecting to you or your group with either Zoom or Microsoft Teams if preferred.

What is the cost to deliver the course onsite?

We are equally able to deliver our bespoke training onsite at your premises and the cost to deliver this is the same structure as classroom with the addition of basic expenses depending on your location. Onsite courses in and around London, Manchester and Glasgow are usually without additional costs.

Can the course include my work samples?

It is often possible to review and include consideration towards sample files however the main course content is usually structured around prepared examples which are best suited to the planned content and structure of teaching the required skills in the best format.