LLM Application Developer Programme
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 4 Is Now Open!
To apply for LADP, the company representative has to fill up the LADP Application Form.
Curriculum Overview
Empowering company-sponsored participants to build deployable LLM-powered applications to solve in-house problem statements
Establish theoretical knowledge in LLM and Prompt Engineering
Duration: 4 weeks
Total Expected Self-learning Hours*: 8 hours
Learning materials will be provided
Delivery Mode: Asynchronous Learning
Build a deployable LLM-powered application to address problem statements with consultancy support from AISG AI Engineers
Duration: 12 weeks
Total Expected Self-working Hours*: 120 hours over 12 sprints
Consultation Hours with AISG AI Mentors: up to 24 hours 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
*AISG reserves the right to modify the curriculum without prior notice
Hear from Our LADP Graduates
“I really enjoyed the insights from LADP on how chatbots work, the importance of prompt engineering, and how we can use RAG to help generate contextually relevant content with our knowledge base.”
Business Analyst
Health Promotion Board
“Very hands-on and structured, I was able to learn a lot in a very short time. Meldrick was very friendly
and helped us a lot,
even with work beyond the scope of the project.”
Co-founder and Data Scientist
AgileAlgo
“This was one of the
best courses in terms
of quality and usefulness.
It was really good
and I enjoyed
the class.”
Director
Skybots
Target Audience
Each organization can send a minimum of 2, up to a maximum of 4 working professionals per team with an interest in solving problems using LLM. Organizations can send multiple teams, with each team working on distinctly different projects.
Pre-Requisites
- Existing problem statement(s) from the participant’s workplace with plans to deploy the LLM-powered application
- Endorsement from the participant’s reporting officer
- Depending on participants’ problem statements and skillsets, appropriate development tools will be recommended
Eligibility, Terms and Conditions
Entry to LADP is subject to the following criteria:
- Singapore-registered companies or public agencies
- Participating companies/organisation must have their own Microsoft Azure, Google Cloud Platform (GCP) or other company approved platform
Curriculum
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 with appropriate development tools that effectively 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.
| Week | Syllabus |
| 1 | Introduction to Natural Language Processing (NLP) and Large Language Model (LLM) |
| 2 | Prompt Engineering Techniques, including Zero-shot, Few-shot and Chain-of-Thought |
| 3 | Concept of Agents, including ReAct, and Retrieval Augmented Generation (RAG) |
| 4 | Ethics 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: 6 mandatory consultations (up to 2 hours per consultation)
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.
Takeaways
- Knowledge and skills in prompt engineering and usage of appropriate development tools to build LLM-powered applications
- Deployable LLM-powered application crafted to address the company’s problem statement
Timeline For LADP Intake 4
| Application Period | 27 September 2024 to 28 October 2024 Please apply here (Application should be made by the company representative) |
| Information Sharing Webinar Session | Friday, 27 September, 3pm |
| Programme Period | 4 November 2024 to 28 March 2025 (Break: 30 November 2024 to 5 January 2025) |
| Deep-skilling phase | 4 November 2024 to 29 November 2024 |
| Project Phase | 6 January 2025 – 28 March 2025 During the Project Phase, there will be three knowledge transfer sessions held physically at AISG’s office: Session 1: 10 January 2025, 2PM to 4PM Session 2: 17 January 2025, 2PM to 4PM Session 3: 24 January 2025, 2PM to 4PM After the sessions, project teams will book at least 6 project consultation time slots with the AISG Mentors (up to 9 consultations may be booked). These consultations may be physical or virtual. |
Programme Fee and Funding
| Full Programme Fee | Funding From AISG | Fee Payable | |
|---|---|---|---|
| Singapore Citizen | $10,000.00 | $6,400.00 | $3,600.00 ($3,924.00 incl. 9% GST) |
| Singapore PR | $10,000.00 | $2,800.00 | $7,200.00 ($7,848.00 incl. 9% GST) |
| Foreigner | $10,000.00 | NA | $10,000.00 ($10,900.00 incl. 9% GST) |
- Max. 20 participants per class
- There are NO stipends provided to participants in this programme.
- Each approved project can have a minimum of 2 participants and a maximum of 4 participants from an organization.
- Organizations can send multiple teams, with each team working on distinctly different projects.
Funding under Career Conversion Programme (CCP) with NUS ICT Academy (Employers)
The Career Conversion Programme (CCP) for Tech Professionals – AI Application Developer is designed to equip mid-career Professionals, Managers, Executives and Technicians (PMETs) with skills to design, develop and implement AI-powered applications that solve complex problems and enhance user experiences. The individual will be working across all stages of the development lifecycle, from ideation and requirement gathering to coding, testing and deployment. This individual will learn and grow in the field of AI application development, while contributing to exciting and transformative projects.
Funding Support for participating companies
Participating companies can enjoy up to 90% monthly salary support. The table below shows the general support outline.
Employer Eligibility Criteria for CCP
- Registered or incorporated in Singapore with a valid Unique Entity Number (UEN) with Accounting and Corporate Regulatory Authority (ACRA);
- Ensure that new hires / existing staff cannot be:
- A shareholder of the CCP company, or its related companies;
- Related to the owner(s) of the CCP company; and
- (For new hires only) Immediate ex-staff of CCP company or its related companies;
- (For new hires only) Offer a full-time PMET position employment contract on permanent terms or on contract terms that are no less than one (1) year;
- Offer employment directly related to the job which the CCP is for, with remuneration that is aligned to the market rate;
- Must put in place OJT for the trainees; and
- Commit to the CCP training arrangements for the trainees.
For more information and to register your interest, please contact NUS ICT Academy at: https://scale.nus.edu.sg/programmes/lifelonglearning/career-conversion-programmes/for-tech-professionals-job-redesign-reskilling.
Sources:
- https://scale.nus.edu.sg/programmes/lifelonglearning/career-conversion-programmes/for-tech-professionals-job-redesign-reskilling
- https://techtalent.sg/page/ccp-ai-application-developer
- https://sgtech.io/Web/SGTECH/Web/Initiatives/Talent_and_Capabilities/Professional_Conversion_Programme.aspx
- https://sgtechsingapre-my.sharepoint.com/:p:/g/personal/sgtech_sgtech_org_sg/EXIkDAeCvUZLsIglalDQQd0BHRYBEruhhLfvOLUGSKQiDA?e=yxuuHi
Certification
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.