Artificial Intelligence for Business Leaders and Managers

No prerequisite

• The objectives of this course are to enable you to:
• Explore the current state of AI technologies and their relevance to contemporary business challenges.
• Recognize the strategic benefits of adopting AI-based solutions in various industries.
• Evaluate the potential efficiency gains, cost reductions, and revenue growth opportunities through AI implementation.
• Analyze case studies showcasing successful AI applications in optimizing business processes and customer experiences.
• Evaluate the ethical, legal, and societal implications of deploying AI in organizational settings.
• Anticipate and mitigate potential risks associated with data privacy, algorithmic bias, and AI-driven decision-making.
• Examine how AI technologies are disrupting traditional business models and creating new market dynamics.
• Develop strategies to leverage AI for innovation, competitiveness, and sustainable growth within your industry.
• Identify emerging trends and opportunities to integrate AI into various facets of business operations, including marketing, sales, finance, and supply chain management.
• Foster a culture of innovation and continuous learning to capitalize on the transformative potential of AI-powered solutions.

Week 1: Introduction to AI in Business
Overview of Course Objectives and Structure
Understand the importance of AI for business leaders and managers
Explore the current state of AI technologies and their impact on various industries

Week 2: Strategic Benefits of AI Adoption
Recognize the strategic benefits and opportunities associated with adopting AI-based solutions
Case studies illustrating successful AI implementations in different industries

Week 3: Economic Impact of AI
Evaluate potential efficiency gains, cost reductions, and revenue growth opportunities through AI implementation
Cost-benefit analysis of AI adoption in business operations
Examine economic models and forecasts related to AI-based innovation

Week 4: AI Applications in Business Processes
Analyze Case studies showcasing successful AI applications in business process optimization
Understanding AI-powered automation and its impact on productivity and efficiency
Practical exercises on identifying and prioritizing AI integration processes

Week 5: AI and Customer Experience
Examining AI applications to improve customer experience and engagement
Case studies of AI-powered personalization and recommendation systems

Week 6: Ethical and Societal Implications of AI
Assessing the ethical, legal, and societal implications of AI deployment
Addressing concerns related to data privacy, algorithmic bias, and transparency

Week 7: MID-TERM EXAM

Week 8: Risk Management in AI Deployment
Anticipating and mitigating potential risks associated with AI deployment
Strategies Risk management related to data security, compliance, and regulatory issues

Week 9: Disruptions and Business Models
Understand how AI technologies are disrupting traditional business models
Case studies of industries transforming through AI innovations
Strategic implications of AI-driven disruption and business model innovation

Week 10: Leveraging AI for Competitive Advantage
Develop strategies to leverage AI for innovation and competitiveness
Identify opportunities for integrating AI across different industry sectors
Create a roadmap for adopting and implementing AI in your organization

Week 11: Emerging Trends in AI for Business
Identify emerging trends and opportunities for integrating AI into business operations
Explore applications of AI in marketing, sales, finance, and asset management Supply Chain
Create a Roadmap for AI-Powered Business Solutions in Your Organization

Week 12: Cultivate an AI-Ready Culture
Foster a Culture of Innovation and Continuous Learning to Capitalize on AI Opportunities
Develop Leadership Strategies to Drive AI Adoption and Transformation
Final Reflections and Action Plan for Implementing AI Strategies in Participants' Organizations

Week 13: FINAL EXAM

CONTENU ET RÉSULTATS D’APPRENTISSAGE

• A l'issue du cours, l'étudiant sera capable de:
• Démontrer une compréhension globale des technologies d’IA.
• Développer des informations stratégiques pour tirer parti de l’IA en entreprise.
• Évaluer les implications éthiques et sociétales du déploiement de l’IA.
• Atténuez les risques associés à la mise en œuvre de l’IA.
• Développer des stratégies concrètes pour l’adoption et la transformation de l’IA.

• Séances animées par un instructeur
• Forums de discussion interactifs et études de cas
• Activités et exercices de groupe
• Quiz ou examens d'évaluation
• Supports de cours (polycopiés, présentations, documents de référence)

Exams may include essays, short answers, or MCQs. Formats include open/closed book. Time zones are considered. Assessments are formative and summative. Students have 2 weeks to review grades and must follow the appeal process in the Student Handbook.

Certificat

Please note that there are three semesters as intake periods as noted on the academic calendar.

Registration is done online.