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Building with Generative AI Training in London and Live Online

Building with Generative AI

Build generative AI application features using APIs, retrieval and structured outputs. Evaluate quality, protect data and plan a maintainable deployment.

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Intermediate

Be comfortable with Python or a comparable programming language.

5 days to complete
Available online
& in class

Select your preferred method

Course dates
Introduction
Build generative AI application features using APIs, retrieval and structured outputs. Evaluate quality, protect data and plan a maintainable deployment.


Develop a practical solution using structured examples, evaluation exercises and documented design decisions.
The course covers responsible use, data handling, verification and human review alongside practical techniques. Tools and exercises are selected for the training requirements and available licences. This is professional development training; attendance does not confer a third-party vendor certification.
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.

What you’ll gain

Apply application design to a practical course scenario.

Apply model apis and structured outputs to a practical course scenario.

Apply prompt design to a practical course scenario.

Apply retrieval-augmented generation to a practical course scenario.

Develop skills for your next step
Relevant career pathways
AI Application Developer:

Build and evaluate AI-enabled application features.

Technical Consultant: Assess solution requirements, risks and implementation choices.

Automation Engineer:

Connect AI capabilities with controlled workflows.

Syllabus

Application design
Define the user problem, acceptable outputs, constraints and success measures. Compare hosted and locally deployed model options.

Make requests through supported SDKs or APIs, validate responses and handle authentication securely.

Create reusable instructions and examples. Manage context and version prompt changes.

Prepare documents, split content, retrieve relevant passages and retain source references.

Build representative test cases and assess factuality, relevance, robustness and latency.

Compare prompting, retrieval and fine-tuning. Identify data requirements and avoid unnecessary training.

Handle sensitive information, prompt injection, rate limits, errors, costs and monitoring.

Build and evaluate a small application. Document operating limits, human review and deployment requirements.

FAQs

Who is this course for?
Developers and technical professionals who want practical experience with this topic.

Yes. Programming and API familiarity will help you complete the practical exercises.

Build generative AI application features using APIs, retrieval and structured outputs. Evaluate quality, protect data and plan a maintainable deployment.

This course provides professional development training. It does not award a third-party vendor certification.

The trainer confirms suitable tools and exercises for the agreed learning needs. Features depend on current product availability and licences.

Confirm account, subscription and lab requirements with London IT Training before booking.

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

Contact the training team for current fees, duration, available dates and any additional costs.

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.

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