Applications and Integration of AI

This micro-course delves into the practical applications and integration of AI across diverse industries, from healthcare to finance and manufacturing. This is not a computer science class, rather how to apply AI tools across a range of use cases.

You'll gain crucial insights into:

• The strengths and challenges of narrow AI in current industrial settings.
• An exploration of Generative AI (GenAI) and its powerful related tools.
• How AI is fundamentally enhancing business processes and decision-making, driving new levels of efficiency.

By the end of this course, you'll understand exactly how AI is transforming industries and significantly improving efficiencies on a global scale.

Competency: Analyze the applications, strengths, and challenges of narrow AI and discuss the concept of general AI, including its future implications and integration into business processes, using GenAI tools and relevant case studies.

Learning Objectives:

1. Analyze the applications, strengths, and challenges of narrow AI.
2. Discuss the concept of general AI and its theoretical implications for the future of AI.
3. Describe how AI has been integrated into business processes and decision-making, improving efficiencies and generating insights.
4. Explore GenAI and GenAI-related tools.
5. Illustrate foundational concepts of AI and ML by examining case studies of their application across various domains.

In your course, you’ll have AI tools to assist you, including an AI coach built right into the experience.