AI & Data-Driven Innovation: Opportunities & Risks for Business
Course Rating
Active Learners
What's included in this Course
- 6 Modules
- Access on Mobile and PC
- 6 Exercises, 1 Final Quiz
- 1 Year Access
Course Description
Artificial intelligence is no longer a future technology reserved for digital giants. It is already embedded in recruitment processes, credit scoring tools, fraud detection systems, customer service platforms and supply chains — across organisations of all sizes, in every sector. And yet the majority of AI projects fail. Not for lack of powerful algorithms, but for lack of governance, data culture and a clear understanding of real-world risks.
This course was designed for executives, managers, lawyers, project leads and compliance professionals who need to understand AI and data as they apply concretely to business decisions — without being data scientists. You will learn to distinguish high-potential use cases from high-risk projects, understand the obligations imposed by the EU AI Act and GDPR, and build responsible AI governance aligned with your organisation's strategy.
Across 6 progressive modules, you will move from AI fundamentals to strategic execution, from data governance to algorithmic risk management, from regulatory compliance to organisational leadership. By the end of this course, you will be able to drive AI projects with discernment, challenge your technical teams and make informed decisions in a rapidly evolving environment.
Why Compliance Training Matters
85% of AI projects never reach production — and regulation is raising the stakes further.
The EU AI Act entered into force in 2024. It imposes compliance, transparency and oversight obligations on any organisation that deploys or uses high-risk AI systems. Sanctions can reach €30 million or 6% of global turnover. Organisations that fail to train their leadership teams face immediate strategic, legal and reputational risks.
Where This Course Takes You
Understand AI without being an engineer
You will be able to distinguish predictive from generative AI, explain how machine learning models work, and identify relevant use cases for your sector — without needing to write a single line of code.
Drive AI projects with method
You will understand why AI projects fail, how to qualify a use case, structure the move from pilot to production, and build the organisational conditions for success.
Navigate the AI regulatory framework in France
AI Act, GDPR, CNIL — you will understand what each regulation concretely requires of French organisations and how to build compliance into your AI projects from the start.
Become a credible AI transformation leader
You will be able to design an AI operating model, structure governance roles, align AI objectives with business strategy and lead the cultural change that AI transformation requires.
Course Curriculum
6 sections 3.5 Hours total length
AI and Data Foundations
- What AI Is and How It Works
- The Business Meaning of “Data-Driven”
- AI vs Traditional Software Systems
- France’s Position in Global AI Strategy
AI Use Cases and Value
- Real-World AI Applications in France
- Scaling AI from Pilot to Production
- Why AI Projects Succeed or Fail
Data Governance and Infrastructure
- What Makes Data Fit for AI
- Data Ownership and Legal Responsibility
- AI Infrastructure and System Design
- Building a Data-Driven Enterprise
AI Laws and Regulation in France
- Understanding the EU AI Act
- Applying GDPR to AI Systems
- Role of CNIL and National Regulators
- Building Compliance into AI Projects
AI Risk, Ethics, and Failure
- Major AI Failures and Root Causes
- How Bias and Drift Harm Systems
- Managing AI Risk and Model Oversight
- Building Trustworthy AI in Practice
Execution, Leadership, and Strategy
- Designing AI Operating Models
- Governance Roles and Leadership Structure
- Aligning AI with Law, Culture, and Strategy
- AI Talent, Training, and Change Management
Certification
Upon successful completion of this course, learner will receive a free Certificate of Completion. Learner can choose the preferred language of the certifcate whether they want it in english or french.
