© AFI Expertise inc. |
This course provides a clear and structured introduction to artificial intelligence and its use in organizational contexts. Participants will explore key AI concepts, real-world use cases, and its impact on businesses. Special emphasis is placed on the responsible use of AI, including ethics, security, governance, and data protection. Through practical examples and real-life scenarios, participants will learn how to integrate AI in a thoughtful, secure manner aligned with business objectives. |
Audience | - Professionals from all industries looking to better understand AI
- Managers and decision-makers involved in digital transformation
- Analysts, advisors, and project managers
- Anyone interested in the responsible use of AI
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Prerequisites | No mandatory technical prerequisites. |
Objectives | By the end of this training, participants will be able to: - Understand the fundamental concepts of artificial intelligence
- Identify opportunities and limitations of AI in a professional context
- Recognize ethical, legal, and organizational challenges
- Apply responsible practices when using AI
- Assess risks related to security, governance, and data privacy
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Recommendations | To get the most out of this training, it is recommended that participants: - Work in an environment where AI is used or being adopted
- Be involved in projects, discussions, or decision-making related to AI
- Have an interest in digital transformation and innovation
- Possess basic digital or general IT knowledge
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Teaching Approach and Methodology | This course is based on an interactive, accessible, and application-focused approach: - Clear and structured presentations of key concepts
- Group discussions and knowledge sharing
- Case studies based on real-world business situations
- Interactive activities (analysis, reflection, scenario-based exercises)
- Practical exercises to support knowledge transfer into the workplace
The approach promotes progressive learning and rapid adoption, enabling participants to effectively apply responsible AI practices in their professional environment. |
Contents | 1. Introduction to Artificial Intelligence- Key definitions and concepts
- Types of AI (traditional, generative, etc.)
- Business use cases
- Current and emerging trends
2. Ethical and Regulatory Considerations- Principles of responsible AI
- Bias and societal impacts
- Legal frameworks and best practices
- Analysis of real-world scenarios
3. Explainability and Model Understanding- Explainable AI (XAI) concepts
- Difference between interpretability and transparency
- Limitations and associated risks
4. Security and Risk Management- AI-related risks (technical, organizational, human)
- Data protection and privacy
- Threats (e.g., data manipulation, bias)
- Security best practices
5. Governance, Audit, and Compliance- Importance of AI governance
- Introduction to AI system audits
- Standards and frameworks
- Organizational best practices
6. Adoption and Future Outlook- Integrating AI into business processes
- Success factors and common barriers
- Emerging trends
- Key takeaways and learning review
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