Executive AI Product Management Mini MBA Course

Name: Executive AI Product Management Mini MBA Course
Availability: InStock

Executive training for choosing, shaping, governing, and scaling AI-enabled products from customer evidence to measurable outcomes.

This 1-week course has 76 dates from November 2026 to November 2027 in 54 cities and live online. The next date runs 16 – 20 November 2026 in Paris. Fees per participant run from €4,100 (Cairo) to €14,000 (San Diego) in a classroom, and from €1,500 live online.

Executive AI Product Management Mini MBA Course

Duration: 1 Week5 days
Next start: 16 November 2026Paris
Scheduled dates: 76
Classroom cities: 54Paris, Muscat, London, Jakarta and more
Format: Classroom and live online
Fee per participant: €1,500–€14,000Average €5,750

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Executive AI Product Management Mini MBA Course

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What does this course cover?

Overview

The Executive AI Product Management Mini MBA Course is a one-week course for product leaders who leave with an AI Product Portfolio. It connects customer problem discovery, AI opportunity assessment, product vision, data and model feasibility, responsible requirements, experimentation, roadmap decisions, cross-functional delivery, and adoption metrics. Participants apply product tools to convert evidence into governed product choices. Agile Leaders Training Center delivers this course on executive AI product management.

Who Should Attend

Product leaders accountable for vision and portfolio outcomes
Innovation leaders responsible for AI-enabled value propositions
Digital leaders coordinating customer, data, and technology decisions
Business owners sponsoring AI product investment
Delivery leaders aligning multidisciplinary product teams

The course assumes participants make product or investment decisions and leaves out coding, model training, and platform configuration.

Departments and Industries

The course supports product decisions across customer-facing and operational settings.

Product and innovation functions in financial services
Digital experience teams in retail
Service design and data teams in healthcare
Connected product teams in manufacturing
Digital service teams in public services

Learning Objectives

By the end of this course, participants will be able to:

Diagnose customer problems suited to AI
Analyze data and model feasibility
Build an AI product vision and value case
Prioritize responsible product opportunities
Design experiments and adoption measures
Create an AI Product Portfolio

Course Agenda

Day 1: Product Opportunity Discovery

Jobs-to-be-Done Customer Problem Interview
Opportunity Solution Tree for AI Use Cases
Customer Journey Evidence Map
AI Suitability and Value Hypothesis Canvas
Product Vision and Outcome Statement

Day 2: Feasibility and Responsible Requirements

Data Readiness and Provenance Checklist
Model Capability and Limitation Assessment
Human-in-the-Loop Decision Design
Responsible AI Product Requirement Template
Cross-Functional Risk and Assumption Log

Day 3: Experimentation and Product Decisions

AI Product Hypothesis and Test Card
Prototype Fidelity and Learning Plan
Model Quality and Product Outcome Scorecard
Experiment Evidence Review Method
Value, Feasibility, and Risk Decision Matrix

Day 4: Roadmap, Delivery, and Adoption

Outcome-Based AI Product Roadmap
Product Requirement Document for AI Features
Team Decision Rights and RACI Matrix
Release Guardrail and Monitoring Plan
Adoption Funnel and Product Health Metrics

Day 5: AI Product Portfolio Practice

Suggested Exercise: Customer Problem Evidence Review
Suggested Exercise: AI Feasibility Challenge
Suggested Exercise: Responsible Requirement Critique
Suggested Exercise: Roadmap and Metric Alignment
Capstone Exercise: AI Product Portfolio

Practical Exercises

The course includes suggested activities for applying product decisions to realistic situations.

Suggested activity: frame an AI opportunity from retail customer evidence.
Suggested activity: assess healthcare data and model feasibility.
Suggested activity: compare product bets using value, feasibility, and risk.
Suggested activity: present an AI Product Portfolio and decision rationale.

FAQs

Who suits the Executive AI Product Management Mini MBA Course?

Product, innovation, digital, and business leaders responsible for product choices suit the course; it assumes experience influencing customer, investment, or delivery decisions.

How does AI product management differ from a general product management course?

AI product management adds data readiness, model limitations, responsible requirements, human oversight, evaluation, monitoring, and AI-specific adoption decisions to established product practices.

How are AI product opportunities prioritized?

AI product opportunities are prioritized through customer evidence, strategic value, data readiness, technical feasibility, responsible-use risk, delivery dependencies, and measurable outcomes.

What belongs in an AI product roadmap?

An AI product roadmap connects outcome hypotheses, experiments, data dependencies, model evaluation, guardrails, releases, adoption measures, and decision points.

How is AI product success measured?

AI product success combines customer and business outcomes with model quality, workflow performance, adoption, safety indicators, and operational monitoring.

Conclusion

Participants leave with an AI Product Portfolio linking customer evidence to opportunities, experiments, responsible requirements, roadmaps, and outcome measures. The work product improves comparison of product bets and clarifies decision ownership. It gives product teams a shared basis for investment, delivery, adoption, and monitoring.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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When and where does this course run?

Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Paris	Week 47, 2026 16 – 20 November 2026	1 Week	Onsite	€5,700
Muscat	Week 47, 2026 22 – 26 November 2026	1 Week	Onsite	€5,700
London	Week 48, 2026 23 – 27 November 2026	1 Week	Onsite	€5,700
Jakarta	Week 49, 2026 30 November – 4 December 2026	1 Week	Onsite	€5,700
Johannesburg	Week 49, 2026 6 – 10 December 2026	1 Week	Onsite	€4,500
Nairobi	Week 50, 2026 13 – 17 December 2026	1 Week	Onsite	€4,500
Tokyo	Week 51, 2026 14 – 18 December 2026	1 Week	Onsite	€10,000
Kuala Lumpur	Week 52, 2026 21 – 25 December 2026	1 Week	Onsite	€5,200
Marbella	Week 52, 2026 27 – 31 December 2026	1 Week	Onsite	€5,700
Langkawi	Week 53, 2027 3 – 7 January 2027	1 Week	Onsite	€6,000
Barcelona	Week 02, 2027 11 – 15 January 2027	1 Week	Onsite	€5,700
London	Week 03, 2027 18 – 22 January 2027	1 Week	Onsite	€5,700
Accra	Week 03, 2027 18 – 22 January 2027	1 Week	Onsite	€4,850
Dubai	Week 04, 2027 25 – 29 January 2027	1 Week	Onsite	€4,500
Chicago	Week 04, 2027 31 January – 4 February 2027	1 Week	Onsite	€12,000
Madrid	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€5,700
Cape town	Week 05, 2027 7 – 11 February 2027	1 Week	Onsite	€4,500
Istanbul	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€4,500
Kuwait	Week 07, 2027 21 – 25 February 2027	1 Week	Onsite	€5,500
Tbilisi	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€5,000

Frequently asked questions

When does this course next run?

The next date runs 16 – 20 November 2026 in Paris. It is one of 76 dates scheduled up to November 2027.

Where is this course held?

In a classroom in 54 cities: Paris, Muscat, London, Jakarta, Johannesburg, Nairobi, Tokyo, Kuala Lumpur, and more. It is also scheduled as live online sessions.

Can I attend this course online?

Yes. One date is scheduled as a live online session: 28 June – 2 July 2027, from €1,500 per participant.

How long is the course?

1 Week. Each date shows its start and end dates.

How much does the course cost?

Fees per participant run from €4,100 (Cairo) to €14,000 (San Diego) in a classroom, and from €1,500 live online. Each date shows its own fee.

What does this course cover?

OverviewThe Executive AI Product Management Mini MBA Course is a one-week course for product leaders who leave with an AI Product Portfolio. It connects customer problem discovery, AI opportunity assessment, product vision, data and model feasibility, responsible requirements, experimentation, roadmap decisions, cross-functional delivery, and adoption met…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Can this course be run for our team?

Yes. Tell us the number of participants and your preferred dates and city through our training request form.

Executive AI Product Management Mini MBA Course