AI for Managers
Lead AI initiatives: opportunity assessment, risk & governance, and implementation roadmap.
What you'll learn
Strategic assessment of AI opportunities
Identify use cases with highest **impact** and **feasibility**.
Risk management frameworks
Mitigate **technical, ethical and business** risks with proven practices.
Methodologies to build roadmaps
Define **realistic, measurable** implementation roadmaps.
AI governance policies
Governance for **responsible use** and compliance.
Course modules
1Module 1: AI Fundamentals for Leaders3h
Core AI concepts, ML/DL/GenAI types, use cases and trends. - What is AI today? - Types and scope - Enterprise success stories
2Module 2: Opportunity Assessment4h
Frameworks to identify and prioritize AI projects by impact/feasibility. - ICE/ROI model - Technical & data feasibility - Business-aligned prioritization
3Module 3: Data Management3h
Data quality, privacy, security and dataset preparation for AI. - Data readiness - Security & privacy - Dataset preparation
4Module 4: Teams & Talent
Roles, structure and governance to run AI at scale. - Roles (PM, DS, Eng, MLOps) - Operating model & governance - Biz–tech collaboration
5Module 5: Risk Management
Technical, ethical and financial risks; mitigation. - Bias & hallucinations - Operational/financial risk - Mitigation plans
6Module 6: Ethics & Responsibility
Governance and responsible AI policies. - Ethical principles - Traceability & audit - Compliance
7Module 7: Measurement & ROI
KPIs, benefits and value sustainability. - Business KPIs - Adoption metrics - Value sustainability
8Module 8: Implementation & Scale
Realistic roadmaps and progressive scale. - Phased plan - MLOps & automation - Run & improve
9Module 9: The Future of AI
Trends, Copilot and emerging opportunities. - Copilots & agents - Multimodality - Business impact
This program equips business leaders to confidently run Artificial Intelligence initiatives—from opportunity assessment and risk management to a prioritized roadmap and a responsible governance framework. The modality is live online, with a practical approach and real cases adapted to your organization.
Who is it for?
- Managers and directors leading technology or transformation initiatives
- CTOs and CIOs responsible for data and AI strategy
- Innovation leaders evaluating and incubating new capabilities
- Consultants involved in modernization and advanced analytics
Outcomes & KPIs
By the end, you will be able to:
- Evaluate and prioritize AI opportunities using an impact–feasibility matrix
- Define a realistic roadmap for the next 90 days and 12 months
- Manage risks (technical, ethical, regulatory, reputational) with mitigation plans
- Establish a governance framework for the responsible use of AI
- Estimate ROI and TCO with templates and define KPIs for adoption and business value
Related courses
Microsoft Azure Fundamentals
10-hour course providing a foundation in cloud computing fundamentals and Azure.
Microsoft Copilot: Executive Workshop for Managers (4h)
Intensive executive format: apply Copilot (Word/Excel/PowerPoint/Teams) to real cases and measure time saved.
Ready to upskill your team?
Let's talk about how AI for Managers can help your team.
Talk to an expert