📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI Awareness for Executives, from foundations to a certified capstone project.
Outline
Explore the basics of AI, including rule-based systems and machine learning. • Discover categories of AI, such as predictive models, generative AI, and autonomous systems. • Examine real-world use cases by industry, including healthcare, finance, retail, and the public sector.
Outline
Identify opportunities for AI adoption and assess AI ROI and business impact. • Develop executive decision-making skills in AI-driven environments. • Understand AI as a driver of digital transformation.
Outline
Recognize key AI risks, including bias, explainability, security, and compliance. • Examine the global regulatory landscape, including the EU AI Act and U.S. Executive Orders. • Discuss responsible AI and ethical considerations.
Outline
Build AI governance structures and understand the role of boards and leadership in AI oversight. • Manage third-party risk and vendor accountability. • Conduct audits, impact assessments, and identify red flag indicators.
Outline
Develop AI talent, teams, and cross-functional collaboration. • Evaluate AI procurement and vendor selection. • Scale AI initiatives with governance in mind.
Outline
Lead change and address resistance to AI adoption. • Communicate AI strategy internally and externally. • Build an AI-literate executive team.
Earn government-registered certification in AI Awareness for Executives
e-Certificate and e-Marksheet issued on successful completion.
