Course Description


This engaging course introduces students to the exciting world of modern generative AI applications in professional settings. We will demystify advanced AI concepts and prepare professionals to confidently apply these innovative tools in their fields.

We will explore two key technologies—retrieval-augmented generation (RAG) and AI agents. Students will learn how to use these tools in their own work and appreciate the potential of these technologies on productivity and decision-making.


Topics

  • Generative AI basics.
  • The latest tools, using real-world examples.
  • How RAG systems improve information retrieval and generation
  • AI agent task automation, workflows, and how they support decision making
  • Ethical Considerations
  • Future Trends

Throughout the course, students will examine relevant case studies from various industries.

Prerequisites / Skills Needed


Generative AI and LLM basics. Python for Machine Learning recommended but not required.

Syllabus Library
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This course applies to these programs:

Demo