AI & ML Essentials: Algorithms, Data, and Real‑World Impact

• Understand core AI/ML concepts and algorithm families

• Learn the data pipeline from collection to deployment

• Evaluate business use cases across industries

• Identify ethical risks and mitigation strategies

• Develop literacy to collaborate effectively with technical teams

• No coding or math background required

• Business or operational experience helpful

• Bridge the knowledge gap between technical and non-technical stakeholders

• Make informed decisions about AI adoption and investments

• Recognize opportunities for AI-driven transformation in your domain

• Anticipate and address implementation challenges

• Contribute meaningfully to AI strategy discussions

• Navigate the AI vendor landscape with confidence

1. AI/ML Foundations

2. Data Fundamentals

3. Business Applications

4. Ethical Considerations

5. Future Trends