Certification in artificial intelligence

A strategic program to help leaders make decisions in the age of AI.

Length 6 days

Rate 5,395 $

Language French

Format Hybrid, In-Person

Upcoming date(s)

Artificial intelligence (AI) is redefining the conditions for performance, decision-making, and organizational transformation. For executives, the challenge is no longer simply to keep up with its evolution, but to make it a driver of progress in service of their priorities and ambitions.

This AI certification takes a strategic perspective focused on leadership, governance, and value creation. It highlights the key role of senior management in clarifying priorities, targeting the most promising initiatives, defining a clear vision, and creating the conditions needed for successful AI integration within the organization.

Designed specifically for decision-makers, this certification will help you better understand the opportunities and limitations of AI, make informed investment choices, and guide your organization through a transformation that is both strategic and responsible. It also covers essential dimensions such as team readiness, cybersecurity, ethics, law, and digital responsibility, enabling you to anchor AI in a sustainable, controlled, and impactful trajectory.

The successful completion of this program entitles you to a digital certificate. These credentials are trusted, secure, verifiable, and sustainable.

In collaboration with HEC Montréal’s Institute for Digital Transformation and AI:

GOALS

This program will enable you to:

Understand the capabilities, limitations, and success factors of AI in a digital transformation context
Identify AI value-creation opportunities in operations, offerings, and stakeholder relationships
Prioritize AI investments and initiatives according to business objectives and organizational maturity
Develop an AI strategy supported by clear governance, defined roles, and appropriate steering mechanisms
Prepare teams, skills, and management practices for AI adoption
Protect the organization by framing AI use in terms of cybersecurity, ethics, law, and digital responsibility

IS THIS FOR YOU?

This training is primarily aimed at executives, managers, senior leaders, and high-potential professionals who are expected to guide their organization’s digital transformation and make decisions on AI investments.

It is particularly relevant for those who need to:

Identify where AI can create value
Prioritize a portfolio of initiatives
Guide strategy and governance
Prepare teams for change
Ensure responsible integration of AI within the organization

The program assumes participants have management experience, but no technical prerequisites are required.

SPECIAL FEATURES

A certification that bridges the gap between understanding AI advancements and the ability to turn them into decisions, priorities, and concrete actions
A practical roadmap to guide AI integration within your organization
Privileged access to HEC Montréal’s Institute for Digital Transformation and AI

Successful completion of this program grants a digital certification—a secure, verifiable, authentic, and durable proof of competence.

SKILLS DEVELOPED IN THIS COURSE

Data Analysis (Big Data)
Business Intelligence
Ethical and Legal AI Governance
Decision Making
Strategic Leadership
Digital Transformation

DAY 1 — WHAT DIFFERENCE DOES AI MAKE?
This first day aims to establish a common language and understand why AI is now a major driver of transformation.

Module 1: AI at the heart of digital transformation
This module explains AI’s role as a technological capability supporting digital transformation and value creation. It lays the foundation for the program’s overarching framework.

Digital transformation: concepts, drivers, and trajectories
Digital capabilities and the distinctive role of AI
Value creation and organizational transformation
Analytical frameworks for digital transformation

Module 2: AI capabilities
This module aims to establish a shared understanding of AI, the central role of data, and the differences between approaches such as predictive, generative, and agentic AI. It highlights that not all forms of AI serve the same needs or uses.

Fundamental concepts and AI terminology
Data, availability, quality, and infrastructure
Predictive, generative, and agentic capabilities
Models, platforms, and technological environments
Strengths, limitations, and use cases of different approaches

DAY 2 — WHERE CAN AI CREATE VALUE?
This day focuses on better targeting investments.

Module 3: AI for transforming internal operations
This module explores AI’s potential to improve internal processes, support employees, and enhance organizational performance.

Case studies illustrating predictive, generative, and agentic AI capabilities in various organizational contexts
Process automation and optimization
Decision support and advanced analytics
Employee productivity and augmentation
Applications across functions: finance, HR, operations, IT, etc.

Module 4: AI for transforming offerings, markets, and stakeholder relationships
This module explores AI’s potential to transform customer and partner interactions, enrich products and services, and support organizational growth. Case studies illustrating predictive, generative, and agentic AI capabilities in various business contexts.

Customer experience and personalization
Marketing, sales, and pricing
Supplier and partner relationships
Innovation in products, services, and interaction models

DAY 3 — HOW TO BUILD AN IMPLEMENT AN AI STRATEGY?
This day equips participants to make the right investment decisions and support AI strategy execution.

Module 5: Building and steering an AI strategy
This module presents the key elements to consider when designing, prioritizing, and implementing an AI strategy.

Strategic alignment and value creation
Selection, prioritization, and initiative portfolios
Build, buy, or partner decisions
Organizational maturity and execution capability
Experimentation, scaling, and roadmap

Module 6: Governing AI
This module explains the foundations, challenges, and levers of effective AI governance.

Governance of AI initiatives and projects
Governance of data, models, and platforms
Governance of uses and decisions
Roles, responsibilities, and governance mechanisms (Legal, ethical, and cybersecurity dimensions are covered in Modules 8 to 10)

DAY 4 — HOW TO PREPARE THE ORGANIZATION FOR AI AND SECURE ITS DEPLOYMENT?
This day focuses on organizational readiness, management practices, and risk control.

Module 7: Preparing teams for AI
This module highlights the human and organizational conditions needed for successful AI projects.

Evolution of roles and skills
Transformation leadership
Human–AI collaboration
Culture, engagement, and adoption

Module 8: AI and cybersecurity
This module addresses cyber risks associated with AI deployment and use.

Vulnerabilities and new attack surfaces
Cyber resilience and business continuity
Protection of information assets
Frameworks and cyber risk governance

DAY 5 — HOW TO PROTECT YOUR ORGANIZATION IN THE AGE OF AI?
This day focuses on responsible AI use, including ethical, legal, and digital responsibility considerations.

Module 9: Ethical and legal issues in AI
This module provides a better understanding of ethical and legal issues surrounding AI.

Ethics, accountability, and transparency
Legal and regulatory frameworks
Rights protection and risk management
Guidelines and best practices

Module 10: AI and digital responsibility
This module addresses the conditions for responsible AI integration in digital services.

Materiality and environmental impacts of AI
Environmental assessment of AI systems
Ecodesign and digital sobriety
Responsible governance of AI solutions

DAY 6 — HOW TO TAKE ACTION?
This final day consolidates learning, applies it, and opens reflection on future technological and organizational trends.

Module 11: Integrative workshop
This module is entirely dedicated to the final assessment. Individually or in teams, participants work on a real or fictional case and present their action plan.

Module 12: Cross perspectives on the future of AI
This module offers conferences and discussions to explore future developments.

Leadership in the age of AI agents: how autonomous systems will transform decision-making, organizational structures, and leadership work
The next waves of AI: evolution of models, multimodal AI, robotics, technological sovereignty, and geopolitical impacts