AI Design Framework and Conceptualisation of RAG
About This Course
This module focuses on developing expertise in two distinct RAG architectures - Gen AI RAG and Agentic AI RAG - helping learners identify appropriate situations for implementing each approach. Learners will gain hands-on experience building a context-aware customer service chatbot that combines ChatGPT with document retrieval techniques to enhance user interactions. The module concludes with practical instruction on designing AI-powered marketing content and workflows specifically tailored for small and medium enterprises using ChatGPT. Through these objectives, learners will develop practical skills for implementing AI solutions across customer service and marketing domains.
What You'll Learn
1. Explain the differences between Gen AI RAG and Agentic AI RAG architectures and identify their appropriate use cases.
2. Build and simulate a context-aware customer service chatbot using ChatGPT and document-based retrieval techniques.
3. Design and generate AI-powered marketing content and workflows for SMEs using ChatGPT.
Entry Requirements
Age:21 years old and above
Language: Obtained at least Grade C6 in GCE 'O' Level English Language, or
Be able to listen, speak, read and write English at a proficiency level equivalent to WSQ Workplace Literacy (WPLN) Level 5.
Academic:
- At least 3 GCE ‘O’ Level Passes including English Language with C6 pass or Higher Nitec or Equivalent
- Must have basic computer literacy skills