Transform your Large Language Model (LLM) expertise with the AI Champions Bootcamp (Blended), designed to turn basic users into power users and proactive problem solvers. Master advanced prompting techniques for greater control over LLM outputs and learn to build impactful LLM pipelines using retrieval-augmented generation (RAG) and agent-based frameworks.
Apply your skills through hands-on projects, creating web-based solutions that serve as high-fidelity prototypes and deliver real value to your organisation, equipping yourself with the tools to harness AI’s full potential.
Tailor your learning journey to your needs. Choose your preferred learning modality: either this blended approach combining online and face-to-face sessions or explore our fully online version of AI Champions Bootcamp (Online).
You are required to have basic coding background in Python (such as completion of Data Champions Bootcamp or equivalent programme, or staff from related job roles).
Hardware
You MUST have a personal or work laptop/desktop with full administrative rights and unrestricted access to the Internet. This is because you are required to (a) install software and (b) upload files to SP’s PoliteMall. Without such a device, you will not be able to complete the required tasks required, and thus, unable to meet the requirements for course completion.
iPads and tablets can be used for viewing the e-learning contents, but they are NOT able to replace the laptop/desktop for the mandatory hands-on tasks.
GSIB laptops are strongly NOT recommended as such laptops are not able to facilitate file uploads and installation of additional software by the users themselves.
Licensed Software
This programme will cover the following topics:
Week | Topic |
---|---|
1 | Getting Started with LLMs & Prompt Engineering |
2 | Dive Deeper into LLMs |
3 | Building System with Advanced Prompting & Chaining |
4 | From Embeddings to Applications |
5 | Advanced RAG |
6 | Break |
7 | Autonomous Agents with Tools |
8 | Quick Prototyping with Streamlit |
9 | Beefing up and Deploying the Prototype |
10 - 13 | Build Proof-of-Concept Prototype |
14 | Assignment Submission |
Weekly Commitment for Participants
Week | Topic | Start of E-Learning | F2F / Online Synchronous Lesson (2pm to 6pm) |
---|---|---|---|
1 | Getting Started with LLMs & Prompt Engineering | Monday, 25 August 2025 | Friday, 29 August 2025 |
2 | Dive Deeper into LLMs | Monday, 1 September 2025 | Friday, 5 September 2025 |
3 | Building System with Advanced Prompting & Chaining | Monday, 8 September 2025 | Friday, 12 September 2025 |
4 | From Embeddings to Applications | Monday, 15 September 2025 | Friday, 19 September 2025 |
5 | Advanced RAG | Monday, 22 September 2025 | Friday, 26 September 2025 |
6 | Break | ||
7 | Autonomous Agents with Tools | Monday, 6 October2025 | Friday, 10 October 2025 |
8 | Quick Prototyping with Streamlit | Monday, 13 October 2025 | Friday, 17 October 2025 |
9 | Beefing up and Deploying the Prototype | Monday, 20 October 2025 | Friday, 24 October 2025 |
10 | Build Proof-of-Concept Prototype | Friday, 31 October 2025 | |
11 | Friday, 7 November 2025 | ||
12 | Friday, 14 November 2025 | ||
13 | Friday, 21 November 2025 | ||
14 | Assignment Submission |
NOTE
For any programme enquiries, please write to pace@sp.edu.sg.
Full Fee | |
Full programme fee | S$2500 |
9% GST on nett programme fee | S$225 |
Total nett programme fee payable, including GST | S$2725 |
Agency-sponsored |
Step 1 | Apply through your organisation's training request system. |
Step 2 | Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme. Your organisation will send registration information to the academy. Organisation HR L&D or or equivalent staff can register directly through the Learning Partner's registration portal. Click here to register for Class #1. Click here to register for Class #2. |
Step 3 | The Learning Partner will inform you whether you have been successful in enrolment. |