Method
Live-Online
Term
SPRING
Estimated Cost
$650

Skills you will gain

  • RAG Implementation: Apply retrieval-augmented generation (RAG) systems to enhance information retrieval and content generation.
  • AI Agent Workflows: Design and automate simple AI agent workflows to streamline tasks and support decision-making.
  • Generative AI Integration: Integrate generative AI tools into existing workplace systems to boost productivity.
  • Business Application Evaluation: Assess how RAG and AI agents can be used to meet specific business needs.
  • Ethics & Best Practices: Understand the ethical considerations and best practices for deploying generative AI technologies in the workplace.

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

Prerequisites:

  • AISV.814: Generative AI Fundamentals

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:

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