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WSQ - Autonomous AI Agents

Sessions 2 days
Duration 16 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Artificial Intelligence Application
TSC Code: AER-TEM-3026-1.1

Funding for this course is valid from 11 Apr 2025 to 10 Apr 2027. Register and complete the course within this period to qualify for funding support.

By end of the course, learners should be able to:

LO1: Implement AI applications by integrating data management principles and fundamental AI concepts to address real-world challenges.
LO2: Deploy AI workflows using machine learning techniques and software development methodologies to optimize performance and accuracy.
LO3: Identify and report issues in AI applications by analyzing implementation procedures and evaluating collected data.

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - Autonomous AI Agents

Course Code: TGS-2025054471

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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Autonomous AI Agents equips participants with practical skills to design, build, deploy, and manage AI agents capable of performing tasks with minimal human intervention. Learners will explore how autonomous agents use large language models, tools, memory, context, reasoning, and structured workflows to understand goals, plan actions, make decisions, and interact with digital systems.

Through hands-on activities, participants will build agents that retrieve information, process documents, call APIs, automate workflows, generate outputs, and collaborate with other specialized agents. The course covers agent architecture, prompt and context engineering, tool integration, Retrieval-Augmented Generation, persistent memory, multi-agent coordination, task delegation, and human-in-the-loop approvals.

Participants will also learn to evaluate agent performance, monitor actions, manage permissions, control operating costs, and troubleshoot unreliable behaviour. Strong emphasis is placed on responsible deployment through sandboxing, least-privilege access, security guardrails, audit trails, data protection, and defence against prompt injection. By the end of the course, learners will be able to develop secure, reliable, and goal-driven autonomous AI agents for practical business and operational applications.

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

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Full Fee $900.00 Before GST

GST $81.00 9% of fee

Baseline Nett $531.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $351.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Building Autonomous AI Agents with Data, Memory and Tools

Topic 2: Deploying and Optimizing Autonomous AI Agent Workflows

Topic 3: Monitoring, Evaluating and Troubleshooting AI Agent Applications

Written Exam
Practical Exam

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

AI Engineer
Machine Learning Engineer
Data Scientist
AI Solutions Architect
AI Researcher
Business Intelligence Analyst
AI Ethics Consultant
IT Specialist – AI
AI Project Manager
Automation Engineer
Cloud AI Engineer
Data Engineer
AI Developer
AI Consultant
Predictive Analytics Specialist
Software Engineer – AI
AI Systems Analyst
Robotics Engineer
Cybersecurity AI Specialist
AI Product Manager

Trainers

Tan Woei Ming is an accomplished data scientist and AI engineer with over 15 years of experience in artificial intelligence, machine learning, and data-driven innovation. Holding a Master’s in Intelligent Systems from the National University of Singapore (NUS) and a First-Class Honours in Electrical and Electronic Engineering from NTU, he has led AI initiatives in predictive analytics, automation, and process optimization across the semiconductor and manufacturing industries. His expertise lies in translating complex AI technologies into practical business applications, enabling organizations to innovate through data insights and intelligent automation.

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

Teh Siew Yee is an experienced adult educator and corporate trainer specializing in business communication, workplace effectiveness, and professional development. With years of experience across both corporate and training environments, she has helped learners enhance their skills in problem-solving, collaboration, and interpersonal communication. Her ability to translate complex concepts into clear, practical strategies ensures that participants can immediately apply their learning in the workplace. As an ACLP-certified trainer, Siew Yee delivers WSQ courses with a strong focus on learner engagement and workplace application. She integrates case studies, role-plays, and reflective exercises into her sessions, ensuring participants develop not only knowledge but also confidence in real-world contexts. By combining her corporate experience with adult education expertise, she empowers learners to improve workplace efficiency, strengthen teamwork, and achieve personal and organizational success.

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.

Truman Ng is an experienced IT and AI specialist with a multidisciplinary background in machine learning, cloud computing, and network architecture. Holding certifications such as PMP, Huawei HCIE, Cisco CCNP, and WSQ ACTA, he has trained professionals in AI, robotics, and DevOps engineering across multiple industries. His career includes managing large-scale automation, RPA, and data analytics initiatives, integrating AI systems into enterprise-grade infrastructure.
In this course, Truman combines technical rigor with real-world experience to help learners design intelligent systems that leverage cloud and AI technologies. His sessions focus on machine learning implementation, data pipeline optimization, and AI deployment in enterprise contexts—equipping participants to apply artificial intelligence strategically within evolving digital ecosystems.