AI and Data-Driven Strategy Training Course

Name: AI and Data-Driven Strategy Leadership Training Course
Availability: InStock

Turn strategic questions into governed AI and data portfolio choices using capability evidence, scenarios, investment gates, and performance indicators.

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 Dubai. Fees per participant run from €4,100 (Amman) to €14,000 (San Diego) in a classroom, and from €1,500 live online.

AI and Data-Driven Strategy Training Course

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

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AI and Data-Driven Strategy Leadership Training Course

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What does this course cover?

Overview

AI and Data-Driven Strategy Leadership Training Course is a one-week advanced course for senior managers, strategy leaders, business-unit heads, transformation executives, and functional directors, who leave with an AI and Data Strategy Decision Framework. Participants define strategic questions, map decision evidence, assess data and AI capabilities, prioritize an investment portfolio, test scenarios, align operating-model choices, establish decision governance, and set performance indicators. Agile Leaders Training Center delivers training in accountable AI and data-driven strategy.

Who Should Attend

Senior leadership personnel responsible for enterprise direction and investment choices
Strategy personnel responsible for scenarios, portfolios, and strategic review
Business-unit leaders responsible for outcomes, capabilities, and performance
Transformation personnel responsible for operating-model change and execution dependencies
Functional directors responsible for data-informed decisions, governance, and value evidence

The course assumes participants can evaluate business strategy and investment proposals at work, and it leaves out model building, coding, data engineering, and vendor-platform configuration.

Departments and Industries

The course supports leadership and strategy functions across financial services, healthcare administration, manufacturing, energy, logistics, professional services, and public services.

Corporate strategy and business planning
Data, analytics, and artificial intelligence leadership
Digital transformation and enterprise architecture
Finance, investment, and performance management
Governance, risk, and executive decision support

Learning Objectives

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

Analyze strategic questions and decision evidence requirements
Evaluate data, AI, talent, and governance capabilities
Prioritize initiatives by value, feasibility, risk, and fit
Compare scenarios and operating-model implications
Apply decision rights and investment gates
Build a strategic indicator and review system

Course Agenda

Day 1: Strategic Questions and Value

Strategic Question and Outcome Hypothesis Canvas
Business Value and Decision-Impact Map
AI-versus-Analytics Use-Case Boundary
Decision Evidence and Assumption Register
Strategic Stakeholder Accountability Matrix

Day 2: Capability and Data Readiness

Data and AI Capability Maturity Scorecard
Decision Data Dependency Map
Data Quality and Accessibility Review
Talent, Technology, and Governance Gap Grid
Capability Constraint and Remediation Log

Day 3: Portfolio and Scenario Choices

Strategic Initiative Value and Feasibility Matrix
AI and Data Portfolio Priority Map
Scenario Evidence and Uncertainty Board
Investment Option and Trade-Off Table
Operating-Model Consequence Assessment

Day 4: Governance and Performance

Executive Decision Rights Framework
Investment Gate and Evidence Checklist
Responsible AI and Data Control Map
Strategic Performance Indicator Tree
Portfolio Review and Course-Correction Cadence

Day 5: Strategy Decision Practice and Capstone

Suggested Exercise: Challenge a Strategic Outcome Hypothesis
Suggested Exercise: Diagnose a Capability and Data Gap
Suggested Exercise: Reprioritize a Portfolio Under Constraints
Suggested Exercise: Test an Investment Gate Decision
Capstone Exercise: AI and Data Strategy Decision Framework

Practical Exercises

The course uses suggested activities that convert AI and data strategy choices into reviewable executive evidence.

Suggested activity: frame a strategic question and define the evidence needed for a decision
Suggested activity: assess capabilities and identify constraints across data, talent, technology, and governance
Suggested activity: compare portfolio options under value, feasibility, risk, and timing constraints
Suggested activity: construct a review pack with indicators, decision rights, and investment gates

FAQs

Who suits the AI and Data-Driven Strategy Leadership Training Course, and what does it assume?

The course suits experienced leaders who assess enterprise direction, capability, investment, and performance and who can interpret strategic evidence without building models or data platforms.

How does AI and data-driven strategy training differ from data analytics training?

AI and data-driven strategy training focuses on enterprise questions, capability choices, portfolios, scenarios, governance, investments, and value tracking rather than analytical techniques, model development, or software use.

How should leaders prioritize an AI and data strategy portfolio?

Leaders should compare strategic fit, outcome value, evidence quality, data and capability readiness, feasibility, dependencies, risk, investment timing, reversibility, and the measures needed to govern expansion.

What belongs in AI and data strategy decision governance?

Decision governance should define accountable owners, information requirements, challenge roles, approval thresholds, investment gates, risk controls, review cadence, escalation paths, and evidence for continuing, changing, scaling, or stopping initiatives.

How should AI and data strategy performance be reviewed?

Performance should be reviewed against outcome hypotheses, adoption and operational indicators, data quality, risk signals, investment assumptions, capability progress, and documented decisions to adjust the portfolio or operating model.

Conclusion

Participants take back an AI and Data Strategy Decision Framework that connects strategic questions, capabilities, portfolio choices, scenarios, governance, and indicators. It improves how leaders test investment proposals before allocating resources. The framework supports traceable decisions, visible assumptions, coordinated operating-model choices, responsible controls, and evidence-based portfolio review.

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
Dubai	Week 47, 2026 16 – 20 November 2026	1 Week	Onsite	€4,500
Rome	Week 47, 2026 16 – 20 November 2026	1 Week	Onsite	€5,700
Montreux	Week 48, 2026 23 – 27 November 2026	1 Week	Onsite	€7,500
Barcelona	Week 49, 2026 30 November – 4 December 2026	1 Week	Onsite	€5,700
Geneva	Week 49, 2026 6 – 10 December 2026	1 Week	Onsite	€6,200
Cape town	Week 50, 2026 13 – 17 December 2026	1 Week	Onsite	€4,500
Jakarta	Week 52, 2026 21 – 25 December 2026	1 Week	Onsite	€5,700
Amman	Week 52, 2026 27 – 31 December 2026	1 Week	Onsite	€4,100
Zanzibar	Week 53, 2027 3 – 7 January 2027	1 Week	Onsite	€5,500
Cairo	Week 01, 2027 4 – 8 January 2027	1 Week	Onsite	€4,100
Athens	Week 02, 2027 11 – 15 January 2027	1 Week	Onsite	€6,700
Chicago	Week 02, 2027 17 – 21 January 2027	1 Week	Onsite	€12,000
Baku	Week 04, 2027 25 – 29 January 2027	1 Week	Onsite	€5,000
Manama	Week 04, 2027 31 January – 4 February 2027	1 Week	Onsite	€4,700
London	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€5,700
Abu Dhabi	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€4,700
Rome	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€5,700
Johannesburg	Week 06, 2027 14 – 18 February 2027	1 Week	Onsite	€4,500
San Diego	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€14,000
Milan	Week 09, 2027 1 – 5 March 2027	1 Week	Onsite	€5,700

Frequently asked questions

When does this course next run?

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

Where is this course held?

In a classroom in 54 cities: Dubai, Rome, Montreux, Barcelona, Geneva, Cape town, Jakarta, Amman, 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: 14 – 18 June 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 (Amman) 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?

OverviewAI and Data-Driven Strategy Leadership Training Course is a one-week advanced course for senior managers, strategy leaders, business-unit heads, transformation executives, and functional directors, who leave with an AI and Data Strategy Decision Framework. Participants define strategic questions, map decision evidence, assess data and AI capabilit…

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.

AI and Data-Driven Strategy Training Course