Agentic AI: Foundations, Engineering, and Enterprise Deployment

Short Course

Agentic AI: Foundations, Engineering, and Enterprise Deployment

Course Schedule	Duration (days)	Mode of Delivery	TGS Reference Number
To be advised	3	Classroom Learning	TGS-2026064819

Course Overview

This course equips participants with the skills to design, build and deploy modern agentic AI systems. Participants will learn core concepts of generative AI, the ReAct (reasoning and acting) paradigm and multimodal reasoning, before progressing to task planning, tool integration and retrieval-augmented generation (RAG). Through hands-on labs, learners will build single-agent and multi-agent workflows using frameworks such as LangChain, LangGraph, AutoGen, MCP servers and vector stores such as ChromaDB. Advanced topics include reflection loops, observability, evaluation automation, error analysis, and cost and latency optimisation. The course also covers AI safety, data governance, guardrails, human-in-the-loop design and enterprise deployment via CI/CD and monitoring.

Course Objectives

At the end of the course, participants will be able to:

Explain the foundations of generative AI, multimodal reasoning and the ReAct (reasoning and acting) paradigm, and articulate how these concepts underpin agentic AI systems.
Design, develop and evaluate single-agent and multi-agent workflows using modern agent frameworks such as LangChain, LangGraph, AutoGen and MCP-based tools and integrations.
Implement task planning, tool integration and retrieval-augmented generation (RAG) to enable agents to access, ground and reason over external information sources.
Use vector stores such as ChromaDB to build memory-augmented agents capable of context retention and information retrieval.
Apply advanced agent design patterns, including reflection loops, observability, evaluation automation, error analysis and cost and latency optimisation.
Implement AI safety mechanisms and data governance controls, including guardrails, safe tool access, permissioning and human-in-the-loop workflows.
Deploy agentic AI systems in enterprise environments, incorporating CI/CD practices, monitoring, traceability and performance management.
Assess the business value, risks and organisational considerations associated with adopting agentic AI solutions, enabling informed decision-making and effective implementation strategies.

Prerequisites

General diploma
Basic knowledge of AI and machine learning

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Funding Available

SkillsFuture Funding

Enhanced Training Support

SkillsFuture Credit

SFEC

PSEA

Instructors

A/Prof Tan Wee Kek

Course Fees

	Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
	39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
Full Course Fee	S$2,850.00	S$2,850.00	S$2,850.00	S$2,850.00	S$2,850.00
Less: SSG Grant Amount	S$1,995.00	S$1,995.00	S$1,995.00	S$1,995.00	-
Nett Course Fee	S$855.00	S$855.00	S$855.00	S$855.00	S$2,850.00
9% GST on Nett Course Fee	S$76.95	S$76.95	S$76.95	S$76.95	S$256.50
Total Nett Course Fee Payable, including GST	S$931.95	S$931.95	S$931.95	S$931.95	S$3,106.50
Less Additional Funding	-	S$570.00	-	S$570.00	-
Total Nett Course Fee Payable, including GST, after additional funding from the various funding schemes	S$931.95	S$361.95	S$931.95	S$361.95	S$3,106.50

Total nett course fee payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 70% attendance and pass all assessment components to be eligible for SSG funding.
The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
Please refer to our Terms and Conditions page for more information.

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