Course Overview

With Large Language Models (LLMs) demonstrating remarkable capabilities across a diverse range of tasks, we have introduced the LLM Application Developer Programme (LADP), a strategic Generative AI initiative in collaboration with SGTech, to help companies accelerate their adoption of LLMs. In this course, participants will be equipped with the fundamental knowledge and skills in prompt engineering, which is an emerging field in artificial intelligence (AI) that specialises in creating and refining prompts, to effectively leverage LLMs.

Participants will develop their LLM-powered applications using low-code platforms with the aim of deploying them in their workplace. LADP is designed based on our award-winning AIAP model. Participants will undergo our 2-phase apprenticeship model (Deep-skilling phase and Project phase) where they will be equipped with the required know-how to build and deploy LLM-powered applications in their workplace.

Application For LADP Intake 1 Is Now Open!

To apply for LADP, the company representative has to fill up the LADP Application Form.

Curriculum Overview

Phase 1 Deep-skilling

  • Duration: 4 Weeks
  • Total Expected Self-Learning Hours*: 8 Hours
  • Learning materials will be provided
  • Delivery Mode: Asynchronous Learning

Phase 2 Project

  • Duration: 12 Weeks
  • Total Expected Self-Working Hours for Project*: 120 Hours over 12 Sprints
  • Consultation Hours with AISG AI Mentors: 2 hours per week per team
  • Delivery Mode: Hybrid
*Participants do not need to report to AISG during the Deep-skilling and project phase. Participants are to independently manage their schedules to fulfill the course objectives.

Target Audience

Each company can send up to 4 working professionals with an interest in solving problems using LLM.


  • Existing problem statement(s) from the participant’s workplace with plans to deploy the LLM-powered application
  • Endorsement from the participant’s reporting officer

Eligibility, Terms and Conditions

Entry to LADP is subject to the following criteria:

  1. Singapore-registered companies or public agencies
  2. Participant MUST be a Singaporean or Singapore PR
  3. Participating companies/organisation must have their own Microsoft Azure or Google Cloud Platform (GCP) accounts and credits


LADP’s objective is to equip participants with the knowledge and skills in prompt engineering, including Zero-shot Learning, Few-shot Learning, ReAct, and RAG, to build deployable LLM-powered applications using low code platforms to address workplace problem statements.

Participants are required to have their problem statement(s) from their respective companies, and, through LADP, develop deployable LLM-power applications to address the problem statement(s). There are two phases in LADP: the Deep-skilling phase and the Project phase.

Deep-skilling Phase – 4 weeks

Participants will undergo asynchronous, self-directed learning using the e-learning materials developed by AISG’s AIAP Team to equip themselves with a strong theoretical understanding of critical concepts in LLM, including Prompt engineering techniques and Agents.

Duration: 4 weeks
Total Expected Self-Learning Hours: 8 Hours
Delivery Mode: Asynchronous learning

Note: Participants do not need to report to AISG during the Deep-skilling phase. Participants are expected to independently manage their schedules to fulfill the learning requirements.

1Introduction to Natural Language Processing (NLP) and Large Language Model (LLM)
2Prompt Engineering Techniques, including Zero-shot, Few-shot and Chain-of-Thought
3Concept of Agents, including ReAct, and Retrieval Augmented Generation (RAG)
4Ethics And Governance: Responsible development of LLM-powered applications
Project Phase – 12 Weeks

Participants will build LLM-powered applications to address their respective company’s problem statements. AISG Mentors will provide project consultation sessions, leading to the deployment of the LLM-powered application as the end goal. Knowledge transfer sessions will also be conducted at the start of the Project Phase to equip participants with the hands-on knowledge they need to kick-start their LLM project.

Duration: 12 weeks
Total Expected Working Hours for Project: 120 hours over 12 Sprints
Consultation Hours with AISG AI Mentors: 2 Hours per week per team
Delivery Mode for Knowledge Transfer Sessions: Physical at AISG’s office
Delivery Mode for Project Consultation Sessions: Physical or Virtual Meeting

Note: Participants do not need to report to AISG during the Project phase. Participants are expected to independently manage their schedules to complete the projects.


  • Knowledge and skills in prompt engineering and usage of low-code platforms to build LLM-powered applications
  • Deployable LLM-powered application

Timeline For LADP Intake 1

Application Period28 August 2023 – 8 October 2023
Programme Period16 October 2023 – 15 March 2024
Deep-skilling phase 16 October 2023 to 12 November 2023
Project Phase17 November 2023 to 15 March 2024

During the Project Phase, there will be three knowledge transfer sessions held physically at AISG office:
Session 1: 17 November 2023, 2 PM to 4 PM
Session 2: 24 November 2023, 2 PM to 4 PM
Session 3: 1 December 2023, 2 PM to 4 PM

After which, project teams will book up to 9 project consultation time slots with the AISG Mentors. These consultations may be physical or virtual.

There will be a break from 2 December 2023 to 7 January 2024.

Programme Fee and Funding

Fee PayableFunding From AISG
Singapore Citizen$3,600.00
($3,888.00 incl. 8% GST)
Singapore PR$7,200.00
($7,776.00 incl. 8% GST)
  • Full Programme Fee: $7,200 per participant
  • Programme Duration: 4 months
  • Max. 16 participants per class
  1. There are NO stipends provided to participants in this programme
  2. Each approved project can have a maximum of 4 participants from a company only
  3. We recommend companies send a minimum of 2 participants per project


Upon successful completion of LADP, participants will obtain a Certificate of Completion for the LLM Application Developer Programme.

For any enquiries, please contact us HERE.

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