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Generative AI Training in London and Live Online

Generative AI Training

Develop practical knowledge of generative models for text, images and other creative applications. Compare model families and evaluate responsible implementation choices.

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Intermediate

Be comfortable with Python or a comparable programming language.

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Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Develop practical knowledge of generative models for text, images and other creative applications. Compare model families and evaluate responsible implementation choices.


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.
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 modelling to a practical course scenario.

Apply neural network foundations to a practical course scenario.

Apply variational autoencoders and gans to a practical course scenario.

Apply diffusion and image 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

Generative modelling
Compare generative and discriminative approaches. Understand datasets, probability and the learning objective.

Review representations, optimisation, loss functions and overfitting using practical examples.

Explore latent representations, generative adversarial training and the strengths and limitations of each approach.

Understand denoising and conditioning. Evaluate image generation quality and responsible use.

Explore attention, tokens and language model inference. Practise controlled text-generation tasks.

Design suitable evaluation examples and assess quality, diversity, reproducibility and failure modes.

Review data permissions, privacy, bias, provenance and human review before deploying generated content.

Prototype a selected use case, evaluate results and document technical choices and next steps.

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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.

Develop practical knowledge of generative models for text, images and other creative applications. Compare model families and evaluate responsible implementation choices.

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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