Requirements

• No coding or data science skills required — this course is designed for business and technology professionals
• not engineers or developers.
• A basic understanding of what AI is and common business terms like KPIs
• ROI
• and strategy will help you get more out of the course from day one.
• Access to a real organization or a willingness to work through publicly available case studies — assignments are practical and grounded in real-world scenarios.
• An open mindset and a genuine interest in how AI moves from experimentation to enterprise-wide impact — curiosity is your most important prerequisite.

Description

Who this course is for:

• Business leaders
• digital transformation managers
• and strategy consultants who are responsible for driving AI initiatives inside their organizations and need a structured
• practical framework to move beyond the pilot stage.
• AI project managers
• product managers
• and technology leads who work closely with data and engineering teams but need stronger skills in business alignment
• governance
• stakeholder management
• and scaling strategy.
• Senior executives and decision-makers in industries like financial services
• healthcare
• retail
• logistics
• and the public sector who need to evaluate AI investments
• manage risk
• and communicate AI strategy to leadership and boards.
• Aspiring AI leaders and professionals who want to build the end-to-end operational skills — from use case selection to 90-day execution planning — that organizations are actively hiring for right now
• without needing a coding or data science background.