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 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.

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: 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.