Advanced AI Engineering: Automating the Software Lifecycle

Short Course

Advanced AI Engineering: Automating the Software Lifecycle

Course Schedule	Duration (days)	Mode of Delivery	TGS Reference Number
13 and 14 January 2027 \| 9 am - 5.30 pm	2	Classroom Learning	TGS-2026065616

Course Overview

Once you have mastered using AI to write code locally, the next frontier is full autonomy. This is an intensive two-day deep dive designed for senior engineers ready to transition from manually prompting tools to orchestrating autonomous AI systems. This course moves beyond the local CLI, focusing entirely on “human-on-the-loop” workflows where AI independently researches, plans, writes, and tests software.

You will learn how to deploy full autonomous engineering frameworks (such as Antigravity) that can take a high-level system requirement and execute it end-to-end. A major focus of the course is mastering the Model Context Protocol (MCP) and multi-agent architectures. We will bypass context limits by plugging powerful MCP servers (like Context7 and Playwright) directly into your agents. Furthermore, you will learn how to transition from a single-agent workflow to orchestrating specialized sub-agents—creating environments where a “Lead Architect Agent” parses a system design and delegates tasks to a “Database Agent” and a “QA Agent” to divide and conquer complex builds.

Finally, you will learn to build custom MCP “skills” to connect your sub-agents securely to proprietary enterprise data, and deploy background Cloud Agents (like Google Jules) to automate continuous integrations. You will leave this course capable of managing and orchestrating a collaborative fleet of digital agents that build and maintain software on your behalf.

Course Objectives

Upon completion of this course, participants will be able to:

Deploy fully autonomous engineering frameworks (e.g., Antigravity) capable of taking high-level architectural prompts and executing complex software builds with minimal human intervention.
Supercharge AI context and execution by configuring powerful pre-built Model Context Protocol (MCP) servers, including Context7 for codebase indexing and Playwright for browser automation.
Design and orchestrate multi-agent architectures, utilizing specialized sub-agents to divide, collaborate on, and conquer multi-tiered software development tasks.
Integrate asynchronous Cloud Agents (such as Google Jules and Codex Cloud) into CI/CD pipelines to automate background engineering tasks, codebase refactoring, and deepcontext code reviews.

Who Should Attend

Programmers and software engineers.

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Funding Available

SkillsFuture Funding

Enhanced Training Support

SkillsFuture Credit

SFEC

PSEA

Instructors

Dr Lek Hsiang Hui

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$2,100.00	S$2,100.00	S$2,100.00	S$2,100.00	S$2,100.00
Less: SSG Grant Amount	S$1,470.00	S$1,470.00	S$1,470.00	S$1,470.00	-
Nett Course Fee	S$630.00	S$630.00	S$630.00	S$630.00	S$2,100.00
9% GST on Nett Course Fee	S$56.70	S$56.70	S$56.70	S$56.70	S$189.00
Total Nett Course Fee Payable, including GST	S$686.70	S$686.70	S$686.70	S$686.70	S$2,289.00
Less Additional Funding	-	S$420.00	-	S$420.00	-
Total Nett Course Fee Payable, including GST, after additional funding from the various funding schemes	S$686.70	S$266.70	S$686.70	S$266.70	S$2,289.00

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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