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CASL - AI Agents with Gemini Spark

Sessions 1 day
Duration 8 hrs
Level Beginner
Assessment 1 hr

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.

Funding for this course is valid from 12 Jun 2026 to 11 Jun 2027. Register and complete the course within this period to qualify for funding support.

By the end of the course, learners will be able to

LO1: Determine AI chatbot strategy
LO2: Develop AI chatbot content and Integrate to media platforms
LO3: Develop AI chatbot implementation plan
LO4: Evaluate AI chatbot performance

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.

CASL - AI Agents with Gemini Spark

Course Code: TGS-2026064173

CASL
SFC
SFEC
Absentee Payroll
MCES

69 Review(s) | Add Your Review

AI Agents with Gemini Spark equips participants with practical skills to build and manage autonomous AI agents that streamline everyday business and administrative work. Through hands-on activities, learners will delegate multi-step tasks to AI agents capable of planning actions, using connected tools, executing workflows and reporting outcomes with appropriate human oversight.

Participants will learn to configure Gemini Spark, create one-off tasks and develop reusable agent skills for common workplace needs. They will design scheduled and event-triggered workflows that can operate automatically across email, calendars, cloud storage, documents, spreadsheets and presentations.

The course covers practical applications such as summarising inbox activity, organising documents, conducting research, preparing content, tracking expenses and managing leads. Learners will also explore how to write effective agent instructions, provide relevant context, define expected outputs and troubleshoot unsuccessful workflows.

Emphasis is placed on responsible agent deployment through permissions management, approval checkpoints, privacy safeguards and human-in-the-loop controls. By the end of the course, participants will be able to create, test and optimise Gemini Spark agents that reduce repetitive work, improve productivity and support more efficient digital workplace operations.

This course is part of our AI training in Singapore, where you can browse all our AI courses. See more Gemini training.

Full Fee $350.00 Before GST

GST $31.50 9% of fee

Baseline Nett $206.50 SG/PR age 21+ · 50% funded

MCES / SME Nett $136.50 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

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

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: AI Agent Strategy and Gemini Spark Fundamentals

Topic 2: Building Agent Skills, Tasks and Tool Integrations

Topic 3: Agent Workflow Implementation, Scheduling and Governance

Topic 4: Agent Monitoring, Performance Evaluation and Optimisation

Mode of Assessment

Practical Performance (PP)

Oral Questioning (OQ)

Written Exam
Practical Exam

Course Info

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
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.
Minimum 18 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

A Google AI Pro or Ultra subscription – Gemini Spark is a paid feature and its availability varies by country; the trainer will confirm access before class

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

Singapore Citizens and Singapore Permanent Residents aged 21 and above.
Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
Employers can also claim Absentee Payroll funding for employees who attend during working hours.
Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

Attendance is taken digitally with Singpass for every session, including the assessment.
You must complete the course and pass all assessments (assessed as Competent).
If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
9% GST is charged on the full course fee before funding.
Promo and discount codes cannot be used on funded courses.
Any balance after funding can be paid in cash, with SkillsFuture Credit.

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
We email you an invoice showing the course fee after funding.
From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
Click Submit a Claim and search for this course by its course code, TGS-2026064173.
Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.

Check your company's SFEC eligibility and balance on EnterpriseSG.
Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
Discuss the decision with the assessor or the assessment manager first.
If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

AI Chatbot Developer
Conversational UX Designer
Digital Transformation Manager
AI Solutions Architect
Chatbot Content Strategist
Business Automation Consultant
AI Product Manager
Data Analyst – Chatbot Analytics
Customer Experience Specialist
Software Developer
Innovation Manager
Technical Project Manager
Product Owner – AI/Chatbots
Frontend Developer with AI Integration
Marketing Automation Specialist
Digital Marketing Strategist
IT Solutions Consultant
User Experience Researcher
AI Implementation Specialist
Technology Adoption Lead

Trainers

Building autonomous agents that do real work on a schedule, with a human still in charge, is a theme across Dr. Alfred Ang's engineering projects. He is a full-stack AI developer and Agentic AI solution architect, and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. He designs multi-agent architectures with the Google Gemini Agent SDK, the OpenAI Agents SDK, the Claude Agent SDK, Microsoft AutoGen, CrewAI and n8n, and leads agentic AI adoption for enterprises in customer service, internal workflows, analytics and decision support. His credentials include a PhD in Electrical Engineering from NUS, Microsoft Certified AI Engineer Associate (AI-102), AWS Certified AI Practitioner and a Certificate in AI Ethics and Governance (Senior Professional) from NTU. His 300+ public GitHub repositories include a RAG demo in which a Telegram AI agent powered by Google Gemini answers questions from uploaded documents; a course chatbot built with n8n and Gemini; a self-hosted AI CMS with a weekly auto-blog scheduler; an ERP prototype with AI agents, scheduled tasks and human-in-the-loop approvals over email, Asana and Telegram; and an automated video pipeline in which an agent researches, scripts, renders, verifies and publishes content autonomously. These projects mirror the planning, tool use and scheduled execution at the heart of Gemini Spark. He is also an ACTA-certified trainer and DACE-certified curriculum developer, and as Chief Instructional Designer he designs practical courses that help professionals move from experimenting with AI to using it reliably in daily operations. His emphasis is on applied skills and sustainable, responsible adoption.

In this CASL course, Dr. Ang brings his Gemini and agent architecture experience to Gemini Spark and everyday business and administrative work. Learners begin with AI agent strategy, deciding which tasks are worth delegating, then configure Gemini Spark and create their first one-off tasks. They go on to build reusable agent skills and connect tools so that agents can plan actions, use connected applications and report outcomes. The third topic covers workflow implementation, scheduling and governance, designing scheduled and event-triggered workflows with appropriate approval points and oversight. Finally, learners monitor agents, evaluate their performance and optimise them over time. He is candid about the risks of autonomy, such as agents acting on incomplete information, and teaches participants to set clear boundaries, keep audit trails and review results, reflecting his training in AI ethics and governance. Sessions are practical and project-based, aligned to the course's practical performance and oral questioning assessment, so learners finish with working agents that handle real tasks from their own jobs. He also helps learners measure whether an agent is genuinely saving time, by tracking task outcomes, error rates and the effort spent reviewing results, and shows how to refine instructions and skills when performance falls short. Participants are encouraged to start with low-risk tasks and expand the agent's responsibilities gradually as trust grows. To see the agent and automation projects he has published, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Truman Ng has long worked where AI meets business automation. He has conducted training in machine learning, Python programming, robotic process automation and cloud-based solutions, and in his chatbot training he guides learners through conversational design, intent and entity management, and integrating AI-powered Dialogflow chatbots with web and messaging platforms. With over 20 years of experience in IT, networking and emerging technologies, he has also delivered courses in cybersecurity, blockchain and automation. He is a PMP-certified project manager, a Huawei HCIE-certified professional, a Certified Bitcoin Professional and an ACTA-certified trainer.

In CASL AI Agents with Gemini Spark, Truman builds on this automation background to show participants how to delegate multi-step business and administrative tasks to autonomous agents. Learners shape an AI agent strategy and configure Gemini Spark, create one-off tasks and reusable agent skills, and connect agents to the tools they need. They then implement and schedule agent workflows with appropriate governance and human oversight, before monitoring performance and optimising results. His hands-on, exercise-driven approach means participants practise each step themselves, leaving ready to streamline everyday work with agents while keeping control over what those agents do.

James Lee is an ACLP-certified trainer and Adobe Certified Instructor who has expanded from digital marketing and web development into AI chatbot platforms such as Dialogflow, helping businesses enhance customer engagement. His training in this area emphasises user-friendly conversation design, integration with Google services and analytics for continuous improvement. As Chief Instructor at ACE Training he conducted courses for corporate and academic clients locally and overseas, covering web design, application development and digital skills, and as a freelance web developer for NTU's Sustainable Earth Office he used HTML, CSS, JavaScript and WordPress to build and maintain websites.

In CASL - AI Agents with Gemini Spark, James brings his conversational AI and Google services experience to building autonomous agents that streamline everyday business and administrative work. Learners begin with AI agent strategy and Gemini Spark fundamentals, then build agent skills, tasks and tool integrations. They go on to implement agent workflows with scheduling and governance, and finally monitor, evaluate and optimise agent performance. Through hands-on activities, participants learn to delegate multi-step tasks to agents that plan actions and use connected tools. His blend of technical skill and real-world marketing insight helps learners design agents that add genuine value to their work.

Review

Customer Reviews (69)

Average Rating: 3.7/5 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

N/A (Posted on 10/24/2026)

Average Rating: 4.0/5 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

N/A (Posted on 10/24/2026)

Average Rating: 3.0/5 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Preparation of the lesson can be improved and sending us thelearning guides or materials to download would make the lesson more effective. trainer is knowledge in the subject matter but the delivery and preparation of the lesson could be improved (Posted on 10/24/2026)

Average Rating: 3.7/5 Review by Course Participant/Trainee