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WSQ - Agentic AI for Affiliate Marketing

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: Affiliate Marketing-2
TSC Code: RET-OTO-2001-1.1

Funding for this course is valid from 21 Nov 2025 to 20 Nov 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: Analyze affiliate marketing trends and provide updates to partners on new retail and hospitality products and services.
LO2: Coordinate with affiliates using strategic research to align partnerships and develop an effective affiliate portfolio.
LO3: Prepare affiliate campaign reports aligned to strategy and ensure compliance with marketing policies and practices.

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 - Agentic AI for Affiliate Marketing

Course Code: TGS-2025060552

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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This course equips participants with the practical skills to use Claude Cowork and agentic AI workflows to plan, execute, and optimise affiliate marketing programmes. Learners will explore how Claude Cowork can support affiliate research, partner discovery, competitor analysis, audience profiling, offer evaluation, campaign planning, and the creation of promotional content across websites, email, social media, and other digital channels.

Participants will learn to connect Claude Cowork with relevant data sources and marketing systems using Model Context Protocol (MCP) tools. They will create reusable Claude Skills based on real-world affiliate marketing processes, such as reviewing potential partners, generating campaign briefs, producing brand-aligned content, managing affiliate communications, and preparing performance reports. These repeatable workflows help improve consistency, reduce manual work, and enable marketing activities to scale more effectively.

The course also covers the use of agentic AI to monitor key metrics such as traffic, clicks, conversions, conversion rates, commissions, revenue, and return on investment. Learners will use Claude Cowork to consolidate campaign information, identify performance trends, compare affiliates and offers, detect potential issues, and recommend data-driven improvements while maintaining human oversight and compliance with marketing policies.

Through practical activities and real-world scenarios, participants will develop an AI-assisted affiliate marketing system that supports faster content production, stronger partner coordination, and continuous campaign optimisation. This course is suitable for beginner and intermediate learners who have foundational digital marketing knowledge and want to apply Claude Cowork and agentic AI to affiliate programme management.

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 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: Affiliate Research and Campaign Planning with Claude Cowork

Topic 2: Creating Affiliate Content and Automated Workflows with Claude Skills and MCP Tools

Topic 3: Affiliate Performance Analysis and Campaign Optimisation with Agentic AI

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:

Claude Cowork

Hardware: Window or Mac Laptops

Job Roles

Affiliate Marketing Manager
Digital Marketing Executive
E-commerce Specialist
Partnership Development Executive
Lead Generation Strategist
Marketing Campaign Analyst
Business Development Executive
Online Marketing Coordinator
Retail Marketing Specialist
Hospitality Marketing Manager
Performance Marketing Executive
CRM Executive
Content Marketing Strategist
Brand Partnership Coordinator
Marketing Operations Executive
Affiliate Program Consultant
Sales and Marketing Assistant
Marketing Data Analyst
Digital Partnership Manager
Marketing Communications Executive

Trainers

Allen Wong is a forward-thinking digital marketing strategist with a proven track record of generating over $5 million in revenue through data-driven campaigns and strategic growth initiatives. As the CEO and Founder of Medistation Pte. Ltd., and a seasoned consultant for multiple clients, he has leveraged advanced analytics, CRM, AI tools, and marketing automation to design targeted campaigns that deliver exceptional Return on Ad Spend (ROAS). His career spans leadership roles in e-commerce, events, and digital platforms, where he successfully implemented SEO/SEM strategies, enhanced customer engagement, and optimized lead generation systems. Allen’s expertise in strategic planning, marketing analytics, and customer relationship management positions him as a key trainer to help participants apply Claude Cowork and agentic AI workflows to drive affiliate marketing success
Beyond his executive and consulting roles, Allen has served as Marketing Manager at OTT Inspire and Asia Arts & Culture (Kallang Theatre), where he spearheaded B2B and B2C lead generation efforts, event marketing strategies, and brand visibility campaigns. Certified with an Advanced Certificate in Learning and Performance (ACLP) and advanced SEO credentials, he combines technical mastery with adult learning facilitation skills. His teaching approach focuses on practical application—guiding learners to identify high-value affiliate partners, build reusable Claude Skills, and harness agentic AI to accelerate affiliate marketing growth. With his adaptability, creativity, and results-oriented mindset, Allen empowers professionals to build sustainable and high-performing lead pipelines in today’s competitive digital landscape