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.


Learning Outcomes
At the conclusion of the course, you should be able to

  • Implement basic RAG systems to enhance information retrieval and generation in workplace settings.
  • Design simple AI agent workflows to automate tasks and support decision-making processes.
  • Integrate generative AI tools with existing workplace systems to improve productivity.
  • Evaluate potential applications of RAG and AI agents for specific business needs.
  • Identify ethical considerations and best practices in applying generative AI technologies..

 

Topics Include

  • 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.

 

Skills Needed
 

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

 

 

Additional Information

AI* - This course will teach you how to build enterprise-grade RAG pipelines and AI agents that actually work: ones that retrieve the right data, reason through real business problems, and deliver answers your organization can trust at scale. 

Prerequisites / Skills Needed

Prerequisites:

  • AISV.814: Generative AI Fundamentals
Syllabus Library
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This course applies to these programs:

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