AI Champions Bootcamp (Classroom, Synchronous and Asynchronous e-learning)

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Overview

Course Date:

24 Aug 2026 to 31 Dec 2026

Registration Period:

19 May 2026 to 10 Aug 2026

Duration/Frequency:

84 hours. Every Friday: 2pm to 6pm.

Mode of Training:

Face-to-Face (Classroom Teaching), E-learning (Asynchronous)

Course Objective

This course aims upgrading basic end users of Large Language Models (LLMs) to become power users and proactive problem solvers. Participants will, hence, learn applying advanced prompting techniques for greater control over the LLM outputs, and build powerful LLM pipelines based on Retrieval-Augmented Generation (RAG) and agent-based frameworks. Participants are given the opportunity to practise their new skills by creating web-based solutions serving as high-fidelity prototypes, and create practical value for their organisations.

By the end of the course, participants will be able to:

Explain how a LLM works.
Build a basic LLM workflow.
Develop a basic Artificial Intelligence (AI) Solution for Cloud deployment.

Topics to be covered

Large Language Models
LLM Workflow

More Information

This course is specially curated for Information and Communications Technology & Smart Systems (ICT&SS) professionals looking to integrate AI solutions into current applications or workflows.

Over the course of 12 weeks, participants will pick up industry-relevant skills and knowledge through 3 modules (4 weeks / module):

Large Language Models (LLM)
Build LLM Workflow
Build AI Solutions

Course format:

Weeks 1 - 8

Self-learning materials (3 - 4 hours / week), with hands-on tasks
(Optional) Online Q&A sessions with the trainer to clarify doubts on the materials and capstone assignment (3 hours at the end of each week)

Weeks 9 - 12

Group Capstone Project: Building of Proof-of-Concept Prototype (3 hours / week, online consultation on MS Teams)
Demo day

For more information on course fee or to apply, click on the "Register" button.

If you are keen to organise a bootcamp for teams in your organisation, please email to PACE_Training@sp.edu.sg.