Apply RAG and AI agents to boost workplace productivity and streamline decision-making
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.
- Flexible Attend in person or via Zoom at scheduled times.
This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.
Some meetings may be Live-Online via Zoom. To see all meeting dates, click “Full Schedule” below.
Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
