Course Details

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

Overview

  • Course Date:

    24 Aug 2026 to 31 Dec 2026

    24 Aug 2026 to 31 Dec 2026

  • Registration Period:

    19 May 2026 to 10 Aug 2026

    23 Jun 2026 to 10 Aug 2026

  • Duration/Frequency:

    84 hours: F2F Every Friday: 2pm to 6pm.

  • Mode of Training:

    Classroom

Participants are required to have basic coding background in Python (such as completion of the Data Champions Bootcamp or equivalent courses, or related work experience). 

Keen on organising a corporate run for you and your colleagues? Email us at PACE_Training@sp.edu.sg.

What You Will Learn

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:
  1. Explain how a LLM works.
  2. Build a basic LLM workflow.
  3. 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):

  1. Large Language Models (LLM)
  2. Build LLM Workflow
  3. 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. 


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Singapore Polytechnic

500 Dover Rd Singapore 139651

Last updated: 11 June 2025

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