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CASL - Agentic AI for Email Marketing Campaign

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: E-Commerce Campaign Management
TSC Code: TOU-SNM-3014-1.1-1

Funding for this course is valid from 17 Jun 2026 to 16 Jun 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 email marketing campaigns in alignment to strategic marketing objectives.
LO2: Analyse email marketing campaign outcomes using sales performance data and consumer insights.
LO3: Analyse market trends and customer reviews.

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 - Agentic AI for Email Marketing Campaign

Course Code: TGS-2026064473

CASL
SFC
PSEA
SFEC
Absentee Payroll
MCES

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Agentic AI for Email Marketing Campaign equips professionals and aspiring digital marketers with practical skills to plan, create, automate and optimise email campaigns using autonomous AI agents. Participants will learn how AI agents can analyse audience data, segment subscribers, generate personalised content and coordinate multi-step campaign workflows with appropriate human oversight.

The course covers AI-assisted creation of subject lines, email copy, calls to action and campaign sequences aligned with brand guidelines and marketing objectives. Learners will explore how agents can manage lead-nurturing journeys, trigger emails based on customer behaviour, conduct A/B testing and recommend suitable delivery schedules. They will also learn to connect AI agents with customer databases, eCommerce platforms and marketing automation tools.

Participants will use AI-driven analytics to monitor open rates, click-through rates, conversions, unsubscribes and other performance indicators. AI agents will support the identification of campaign issues, analysis of customer responses and continuous improvement of content and targeting strategies.

The course also addresses consent management, data privacy, content accuracy, deliverability and responsible AI use. By the end of the course, participants will be able to implement agentic email marketing workflows that improve personalisation, operational efficiency, customer engagement and campaign performance.

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

Full Fee $800.00 Before GST

GST $72.00 9% of fee

Baseline Nett $472.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $312.00 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

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: Implementing Agentic AI Email Marketing Campaigns

Topic 2: AI-Driven Campaign Performance and Consumer Insights Analysis

Topic 3: AI Agent Analysis of Market Trends and Customer Feedback

Written Exam
Practical Exam

Course Info

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.

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (the free tier is sufficient)
A free Mailchimp account

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, with PSEA (Singapore Citizens with a PSEA).

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-2026064473.
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.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

Check that this course shows the PSEA tag on its MySkillsFuture page.
Check your PSEA balance on MOE's Student Finance System with Singpass.
Download and complete the PSEA withdrawal form, then submit it to us.
We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

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

Social Media Specialist
Digital Marketing Manager
E-commerce Specialist
Content Strategist
Brand Manager
Marketing Analyst
Influencer Marketer
Online Sales Coordinator
Social Media Consultant
E-commerce Marketing Manager
Marketing Communications Coordinator
Public Relations Specialist
Customer Experience Manager
Marketing Project Manager
Product Marketing Manager

Trainers

Mr Tan Woei Ming is a data scientist turned agentic automation specialist who now builds and teaches AI workflows as an Instructor and Software Developer at Tertiary Infotech, where he is also the trainer for Tertiary Courses' Agentic AI with n8n courses. At Micron Technology he served as a Data Scientist and later Data Science Lead, leading AI initiatives in predictive analytics, automation and process optimisation in the semiconductor and manufacturing industries. That experience of turning data into decisions, and decisions into automated action, carries naturally into email marketing, where segmentation, personalisation and performance analysis all depend on reading data well. He graduated with First-Class Honours in Electrical and Electronic Engineering from NTU, holds a Master of Intelligent Systems from NUS and is an ACLP-certified trainer. His classes are practical and methodical, with each idea demonstrated in a live workflow before learners try it themselves.

In this CASL course, Mr Tan helps professionals and aspiring digital marketers use autonomous AI agents to plan, create, automate and optimise email campaigns. Learners see how agents can analyse audience data, segment subscribers, generate personalised content and coordinate the multi-step workflow of a campaign, with human oversight built in at the points that matter, such as approving content before it is sent. He then turns to campaign performance and consumer insights, drawing on his analytics background to show how AI-driven analysis can reveal what is working and why. The final topic applies AI agents to market trends and customer feedback, so learners can feed fresh insight into their next campaign. Rather than presenting himself as a marketer, Mr Tan brings the perspective of an analyst and automation builder, helping learners design campaign workflows that are data-informed, measurable and responsibly supervised. Learners finish with a campaign workflow they can run, review and improve.

Dr. Alfred Ang automates the email and lead-generation workflows behind his own training business, and that hands-on experience shapes his contribution to this course. He is a full-stack AI developer and Agentic AI solution architect who builds agent workflows with n8n, Langflow, Flowise, the OpenAI Agents SDK, Claude Agent SDK, Microsoft AutoGen and CrewAI, and he is the founder of Tertiary Courses and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. His GitHub portfolio includes malaysia_automation_setup, an n8n project adapting a Singapore auto-reply email workflow for Tertiary Courses Malaysia and Ghana with Gmail OAuth and MailerLite subscriber sync; ai-cms and ai-pei, Claude Agent SDK platforms with a weekly auto-blog scheduler, SEO, lead capture and a self-improving lead-gen chatbot; socialmediapost, which publishes content to 22 platforms with scheduling, queues and analytics; and marketingagency, a demand generation landing site whose audit lead magnet is delivered through FormSubmit. He is a Microsoft Certified Power BI Data Analyst (PL-300) and Data Scientist (DP-100), which underpins his approach to campaign measurement, and he holds a Certificate in AI Ethics and Governance (Senior Professional) from NTU and a PhD in Electrical Engineering from NUS. As an ACTA-certified trainer and DACE-certified curriculum developer, he designs his sessions so that marketers without a programming background can build and run working automations. He also holds AWS Certified AI Practitioner and Microsoft Certified AI Engineer Associate (AI-102) credentials.

CASL - Agentic AI for Email Marketing Campaign equips marketers and aspiring digital marketers to plan, create, automate and optimise campaigns with autonomous AI agents. In the first topic, implementing agentic AI email marketing campaigns, learners use agents to segment subscribers, generate subject lines, copy and calls to action aligned with brand guidelines, and orchestrate multi-step sequences and lead-nurturing journeys triggered by customer behaviour, with human oversight at the right points. The second topic covers AI-driven campaign performance and consumer insights analysis, interpreting open, click and conversion data, running A/B tests and letting agents recommend improvements. The third topic uses AI agents to analyse market trends and customer feedback, turning replies, reviews and survey responses into insights for the next campaign. As one of the trainers on this course, Dr. Ang focuses on the automation and data side: connecting agents to email platforms and data sources, designing approval steps so nothing is sent without review, and building dashboards that show what is working. He also stresses consent, unsubscribe handling and data protection, since an automated campaign magnifies any compliance mistake. Learners build their own agent-assisted campaign workflow during class and leave with a reusable template for future campaigns. He also shows how to use agents to draft reports on campaign results that managers can act on quickly. To see the marketing 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/

Allen Wong is a digital marketing strategist and entrepreneur with extensive experience in e-commerce, branding and performance marketing, and expertise spanning SEO, CRM and AI-driven campaign optimisation. As Founder and CEO of Medistation Pte Ltd, he oversees strategic growth, user engagement and digital brand partnerships, and he has a proven track record of generating substantial revenue through data-led marketing strategies. He holds professional certifications in SEO and social media management, as well as the WSQ Advanced Certificate in Learning and Performance (ACLP).

In Agentic AI for Email Marketing Campaign, Allen draws on his entrepreneurial and digital leadership background to teach learners how to harness analytics, storytelling and AI agents to optimise email campaign outcomes. Participants implement agentic AI email campaigns in which agents analyse audience data, segment subscribers, generate personalised content and coordinate multi-step workflows under appropriate human oversight, including AI-assisted subject lines, email copy, calls to action and campaign sequences. They then analyse campaign performance and consumer insights, and use AI agents to assess market trends and customer feedback. His practical sessions focus on personalisation, engagement and conversion, helping participants design campaigns that align creativity with measurable business growth.

Ray Teoh is a veteran digital marketing strategist who has led high-growth media and advertising organisations across Singapore, Malaysia and Greater China. A former senior executive at Singapore Press Holdings, iClick Interactive Asia and Innity Limited, he has a proven record of driving digital transformation, managing regional sales teams and scaling digital engagement across platforms such as XiaoHongShu, WeChat, Baidu and Douyin. He holds a Bachelor's degree in Electrical and Electronic Engineering (Hons) from Nanyang Technological University and the WSQ Advanced Certificate in Learning and Performance (ACLP). As a certified adult educator and business coach, he specialises in social commerce and cross-border marketing for China's digital landscape.

In CASL - Agentic AI for Email Marketing Campaign, Ray equips learners with the tools to develop creative, data-driven and AI-assisted email marketing campaigns. Participants implement agentic AI email marketing campaigns, analyse campaign performance and consumer insights with AI, and use AI agents to analyse market trends and customer feedback. His teaching emphasises audience relevance, brand storytelling and measurable engagement, helping businesses connect authentically with their subscribers rather than simply sending more email. Drawing on his regional marketing leadership, he helps participants plan, automate and optimise campaigns that turn subscriber data into stronger results.

Janice Ong is a marketing strategist, business development professional and WSQ-certified ACLP trainer with over 20 years of experience across the IT, engineering and e-commerce sectors. Having led regional marketing and sales operations for Creative Technology, Asco Freight and Condat, she has a strong foundation in digital strategy, brand communications and international business expansion. As a freelance digital marketing consultant and trainer since 2014, she has mentored professionals and business owners in SEO, SEM and online brand development across CMS and e-commerce platforms such as Shopify and WooCommerce.

In Agentic AI for Email Marketing Campaign, Janice guides participants through the end-to-end process of building compelling brand narratives and optimising email campaign strategies, with a focus on content marketing, campaign analytics and marketing automation. Learners use autonomous AI agents to plan, create and automate campaigns, from audience segmentation and personalised content to subject lines, calls to action and multi-step sequences, while keeping human oversight in place. They go on to analyse campaign performance and consumer insights, and to apply AI agents to the analysis of market trends and customer feedback. Participants leave able to create authentic, high-performing email campaigns that resonate with their target audience.