Introduction
This course provides a non-technical yet comprehensive overview of Artificial Intelligence for decision-makers and business leaders. It explains how AI creates value, how to evaluate AI opportunities, and how to manage AI-driven projects. Participants will learn about organizational readiness, risk management, and responsible AI adoption. Real-world case studies help illustrate successful AI implementations. By the end, leaders will be equipped to make informed decisions about strategic AI investments.
Course Objectives
- Understand AI concepts from a business perspective
- Learn how AI initiatives are developed and deployed
- Identify high-impact AI opportunities
- Explore risks and governance strategies
- Build confidence in managing AI projects
Target Audience
- Executives and managers
- Business owners
- Project leads and product managers
- Consultants and strategists
- Professionals evaluating AI solutions
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: AI Overview for Leaders• AI trends and capabilities
• Key terminology
• AI value chain
• Case studies
• Myths vs. realities0 - Day 2: Identifying AI Opportunities• What problems AI solves well
• Assessing feasibility
• Data readiness
• ROI frameworks
• Use-case prioritization0 - Day 3: Managing AI Projects• Teams and roles
• Data workflows
• Model development lifecycle
• Pilot-to-production pathway
• Vendor evaluation0 - Day 4: Risks & Governance• Ethical AI
• Regulatory considerations
• Bias and fairness
• Model transparency
• Risk mitigation strategies0 - Day 5: AI Roadmapping• Building AI capability
• Change management
• Scaling AI initiatives
• Long-term planning
• Workshop: Draft your AI roadmap0
Instructor
Lessons:
