AI Champions Bootcamp (Classroom, Synchronous and Asynchronous e-learning)
About This Course
This course aims to upgrade basic end users of large language models (LLMs) to become power users and proactive problem solvers. Through the course, participants will learn to apply advanced prompting techniques for greater control over the LLM outputs, and to build powerful LLM pipelines based on retrieval-augmented generation (RAG) and agent-based frameworks. Participants are given the opportunity to put their new skills into practice by creating web-based solutions that serve as high-fidelity prototypes and create practical value for their organisations.
What You'll Learn
- Explain how a Large Language Model (LLM) works.
- Build a basic LLM workflow.
- Develop a basic Artificial Intelligence (AI) Solution for Cloud deployment
Entry Requirements
Basic English Proficiency
Certificate of Completion in:
- Data Champions Bootcamp or Data Champions Bootcamp (Online); OR
- Proficiency in applied machine learning programming using Python