About Course
Agentic AI now enables marketing teams to run multi-step campaign workflows, generating content variations, running audience experiments, reading feedback loops and recommending optimisations at a speed and scale that earlier generative tools could not support. This gives marketing, brand and customer experience teams the ability to test more, personalise further, and close the loop between campaign activity and results more quickly than before.
This course is designed for marketing, brand and customer experience professionals who want to build and lead AI-driven campaign workflows while maintaining control over brand standards, privacy obligations and performance risk. No coding, data science or AI engineering background is required — the focus is on practical application, decision-making and governance across the full campaign lifecycle.
Over two days, learners work through where agentic AI genuinely adds value in content generation and campaign experimentation, and where human creative judgement remains essential. They design brand-safety guardrails calibrated to different content and channel risk levels, work through the customer data and privacy exposure agentic personalisation creates, and rehearse a structured containment process for a brand-safety incident. Attention then turns to measurement: separating content velocity from real marketing value, and building reporting that stands up as ROI rather than activity.
The course opens with a condensed grounding in how agentic systems are architected, governed and costed, so that marketing judgement rests on an accurate reading of the technology.
Delivery is classroom-based, built around worked campaign scenarios, guided exercises and a hands-on playbook workshop in which learners draft a campaign governance playbook for their own team.
Skills you’ll gain
Artificial Intelligence
AI and Machine Learning
Who Should Attend
This course is suitable for:
Marketing managers and digital campaign leads
Brand managers and content strategists
CRM and customer experience leads
Product marketing managers and marketing operations professionals
Professionals in digital transformation, brand governance, campaign approval or customer-data governance roles
Minimum Entry Requirements
- At least two years of work experience in marketing, communications, brand management, content production, digital marketing, campaign management, CRM, customer experience, product marketing or a related customer-facing function
- Familiarity with basic marketing concepts and digital channels
- Learners without marketing or customer-facing experience may attend if they are involved in digital transformation, brand governance, campaign approval, customer-data governance or marketing operations
- No coding, AI engineering or data science experience is required
The Agentic AI Series
This course is part of a collection of Agentic AI courses curated by SITLEARN, spanning finance, legal, human resources, marketing, operations, and risk and security. Each course imparts agentic AI foundations customised to the specific function. View the full collection here.
Learning Outcomes
By the end of this course, learners will be able to:
- Apply agentic AI to content generation and campaign experimentation at scale
- Distinguish generative content tools from agentic campaign management, and select the right approach for a given campaign task
- Identify where human creative judgement remains essential within an agentic marketing workflow
- Design brand-safety guardrails calibrated to different content and channel risk levels
- Identify customer data and privacy exposure created by agentic personalisation
- Respond to a brand-safety incident using a structured containment process
- Build a measurement approach for AI-driven marketing that reports credible ROI
- Separate content velocity from marketing value when reporting campaign performance
- Produce a campaign governance playbook that their own team can adopt and adapt
Teaching Team
Ian Loe Wai Yew
Trainer
View profile
Course Details
Schedule
| Course Run | Dates | Time |
|---|---|---|
| January 2027 | 27 - 28 Jan 2027 | 9:00 am – 6:00 pm |
| March 2027 | 17 - 18 Mar 2027 | 9:00 am – 6:00 pm |
Day 1
| Topics |
|---|
|
Day 2
| Topics |
|---|
|
Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Mode of Assessment: Oral Questioning (30 minutes)
Fee Structure
The full fee for this course is S$2,507.00.
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$752.10 |
| Singapore Citizen (40 & Above) | 90% | S$292.10 |
| Singapore PR / LTVP+ Holder | 70% | S$752.10 |
| Non-Singapore Citizen | Not Eligible | S$2,507.00 |
Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.
For Organisations
Interested in this course for your business or team?
Tailored to your organisation's specific training needs, we can help you design and develop custom courses to grow key talent and build specialist expertise to meet the future demands of work.
Course Runs
New Engineering Micro-credentials Launching Soon!
Exciting news! We are introducing new micro-credentials in Electrical and Electronic Engineering & Infrastructure and Systems Engineering. Be among the first to know by registering your interest today! Register now →