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Generative AI in Product Management Training in London and Live Online

Generative AI in Product Management

Apply generative AI to product discovery, requirements, prioritisation and launch planning. Validate ideas against customer evidence and evaluate responsible AI-enabled features.

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Beginner to intermediate

Have basic computer and internet skills.

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Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Apply generative AI to product discovery, requirements, prioritisation and launch planning. Validate ideas against customer evidence and evaluate responsible AI-enabled features.


Explore guided examples and develop a practical use case for your organisation. No advanced programming is required.
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 foundations and scope to a practical course scenario.

Apply discovery and customer evidence to a practical course scenario.

Apply ideation and requirements to a practical course scenario.

Apply prioritisation and roadmaps to a practical course scenario.

Develop skills for your next step
Relevant career pathways
Business Professional:

Use AI to support everyday work with appropriate review.

Business Analyst: Document needs, evaluate outputs and measure improvements.

Team Leader:

Assess use cases and guide responsible adoption.

Syllabus

Foundations and scope
Understand generative AI capabilities and limitations for this subject. Define suitable tasks and criteria for success.

Summarise supplied interviews and feedback. Separate observed needs from generated hypotheses and synthetic personas.

Draft problem statements, user stories and acceptance criteria. Review for clarity, scope and unsupported assumptions.

Compare options using transparent criteria. Keep business decisions with the accountable product team.

Create concept and experiment drafts. Plan user research to validate usefulness and usability.

Develop draft positioning, release communications and feedback-analysis workflows. Check factual and product consistency.

Define quality, failure handling, human control and metrics for AI features before release.

Develop a use-case prototype using non-sensitive sample data. Evaluate results, document limitations, assign human review and plan adoption.

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FAQs

Who is this course for?
Professionals and teams looking to apply this topic in their work.

Advanced programming is not required for this course.

Apply generative AI to product discovery, requirements, prioritisation and launch planning. Validate ideas against customer evidence and evaluate responsible AI-enabled features.

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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