Milestone 01 / 6 hours
Opportunity framing and concept outline
Problem, stakeholders, baseline, strategic relevance, value hypothesis, and scope.
Approved concept outline
All programsLead AI with clarity,
Executive Associate Diploma / LAU ACE
Lead AI with clarity,
evidence, and accountability.
AI and Data Management for Executives is a simulation-first diploma for executives who must turn AI possibility into responsible organizational value.
Created and taught by Georges Bachaalany. Delivered through LAU Academy of Continuing Education.
- Taught learning
- 60h
- Applied capstone
- 40h
- Executive modules
- 5
- Complete journey
- 100h
Executive outcomes
Not AI awareness.
AI leadership.
Build the judgment to ask better questions, challenge weak assumptions, mobilize the organization, and govern what happens after a model reaches the real world.
- 01Explain AI and machine-learning capabilities in clear business language and challenge unrealistic claims.
- 02Identify, prioritize, and govern AI opportunities that align with organizational strategy and operating realities.
- 03Lead responsible AI adoption across data, people, process, technology, risk, and change management.
- 04Design and defend an evidence-based AI initiative through a 40-hour executive capstone practicum.
60 taught hours / 12 hours per core
Five cores. Twenty executive sessions. One connected story.
Open a module to explore the executive sessions and the evidence participants create.
01Fundamentals of AI and Machine Learning
12 hours
Build the executive vocabulary and judgment required to evaluate AI, machine learning, deep learning, generative AI, and agentic systems.
- AI systems in 2026: signal, solution, or hype?
- How AI learns, retrieves, reasons, and acts
- Modern AI solution anatomy: Architecture Auction
- Executive AI War Room: lead, gate, or stop?
Evidence of learningA defensible AI initiative brief grounded in business need, capability, and risk.
02Organizational Management with AI
12 hours
Lead the organizational shift created by AI across people, processes, decision rights, culture, operating models, and human accountability.
- AI and the organizational shift
- The human element in AI transformation
- AI-driven process transformation
- Operating models and accountable leadership
Evidence of learningAn adoption-ready operating model connecting people, process, governance, and change.
03AI Solutions
12 hours
Explore data in Google Colab, connect simple workflows with n8n, and practise prompting an AI with evidence and human review.
- AI-ready data and decision fitness
- Feature thinking and training data
- Prototype, test, and evaluate
- Agents, tools, and workflow automation
Evidence of learningA tested AI workflow supported by data assumptions, evaluation evidence, and controls.
04Ethics, Privacy and Legal AI
12 hours
Convert ethical principles, privacy duties, security requirements, and the EU AI Act into practical governance decisions.
- Ethics and responsible AI for leaders
- Privacy, data protection, and security
- The EU AI Act and risk classification
- Ethics under pressure
Evidence of learningA governance pack with classification, controls, owners, evidence, and escalation paths.
05Blending AI, Data and Business Strategy
12 hours
Connect AI ambition to enterprise strategy, data advantage, use-case portfolios, operating capabilities, investment logic, and measurable outcomes.
- AI strategy and competitive advantage
- Use-case portfolio and prioritization
- Value, investment, and success metrics
- Enterprise roadmap and capstone launch
Evidence of learningAn executive-ready AI strategy roadmap and approved capstone charter.
40-hour applied practicum
The capstone is the integration engine.
Apply the diploma to a real or realistic organizational challenge and defend an evidence-based AI strategy roadmap.
Final evidenceA final portfolio and executive defense demonstrating readiness to lead an AI initiative.
Milestone 02 / 8 hours
Data, feasibility, and responsible AI assessment
Data readiness, solution options, risks, legal classification, controls, and accountability.
Feasibility and governance assessment
Milestone 03 / 12 hours
Solution design, prototype, and validation
Workflow, prototype, evaluation evidence, failure analysis, user feedback, and iteration.
Validated prototype or solution blueprint
Milestone 04 / 8 hours
Operating model, adoption, and value roadmap
Ownership, capabilities, change, investment, sequencing, metrics, and scale criteria.
Implementation and value-realization roadmap
Milestone 05 / 6 hours
Executive defense and final portfolio
Evidence synthesis, executive narrative, decision request, limitations, and next steps.
Final report, executive deck, and oral defense
Experience design
Built for the room executives actually work in.
Executive-first
Technical depth is translated into decisions, operating implications, and strategic trade-offs.
Simulation-first
Participants practice under pressure using cases, labs, games, and realistic organizational dilemmas.
Evidence-led
Every module ends with a practical artifact that can survive scrutiny outside the classroom.
Responsibility built in
Ethics, privacy, security, law, and human accountability shape the solution from the start.
The participant promise
Leave able to lead
the next AI decision.
Your learning path, simulations, executive toolkits, assignments, feedback, and capstone evidence—connected in one LMS journey, without losing the energy of the live classroom.