AI and ML Basics

Nathan Yaugen Henry

Free

1. The Rise of Generative AI for Business

2. Become a value creator with generative AI

3. Why foundation models are a paradigm shift for AI

4. Trust, transparency, and governance in the age of generative AI

5. Putting AI to work for Customer Service

6. Putting AI to Work for Application Modernization

7. Is data management the secret to generative AI?

8. Putting AI to Work for Marketing

9. Putting AI to Work for talent

10. Select the right AI use case for your business

11. How responsible AI can prepare you for AI regulations

12. Choose the right AI model for your use case

13. From pilot to production: Driving ROI with genAI

14. Achieving AI-readiness with hybrid cloud

15. Putting AI to work in IT Operations

16. Design a hybrid cloud infrastructure for and with AI

17. Putting AI to work for Finance

18. How business leaders budget for generative AI

Artificial Intelligence and Machine Learning is the technology that allows machines to learn and make predictions based on data.

You should have good knowledge of Python programming and mathematics.

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