How do companies incorporate conversational/generative AI technologies into their information systems (IS)? This topic course gives you an overview of how conversational AI applications are developed for IS. You will gain an overview of how conversational AI applications are designed and developed for IS, with hands-on experience using Python, Rasa, and OpenAI’s APIs.
Upon completion of the course, you will be able to:
• Describe the technical components and architecture of conversational AI assistants
• Examine the project life cycle of building conversational AI assistants for information systems
• Compare and contrast prompt engineering techniques for LLMs
• Explain how generative AI (GenAI) works with LLMs and retrieval augment generation (RAG) for dialogue understanding
• Review case studies of scalable and secure RAG-enabled AI assistants
• Design and develop a high-fidelity prototype of conversational AI assistants tailored for information systems across different industry domains.
If you have any questions, you can email Professor Atef Bader at [email protected].