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Agentic AI for Affiliate Marketing

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

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.

Course Brochure

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Certification

  • 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.

Agentic AI for Affiliate Marketing

Course Code: C1319

14 Review(s) | Add Your Review

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What's This Course About

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.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Agentic AI for Affiliate Marketing

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

* Required Fields

Additional Note

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

Post-Course Support

  • 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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

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

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.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Softtware: Windows / Mac

Hardware: Laptop

Job Roles

Job Roles

  • Blockchain Developer
  • Business Strategist
  • Innovation Manager
  • FinTech Product Manager
  • Digital Transformation Specialist
  • Supply Chain Manager
  • R&D Specialist
  • Cryptocurrency Analyst
  • Financial Services Innovation Specialist
  • Chief Technology Officer (CTO)
  • Data Security Specialist
  • Startup Founder (Blockchain ventures)
  • Regulatory Compliance Officer (Crypto/Blockchain)
  • Digital Assets Manager
  • Smart Contract Developer

Trainers

Trainers

Terence Ee is an experienced IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms. As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.
Yap Swee Leong is an ACLP-certified trainer with experience in adult education and IT-focused training. He has delivered courses across digital systems, IT fundamentals, and business technology, equipping learners with the skills to adapt to digital workplaces. With his strong foundation in instructional design and applied learning, he makes technical concepts accessible to diverse groups of learners. In his network security training, Yap focuses on building beginner-level understanding of key security principles, including password policies, secure browsing, and basic risk management. His sessions are designed to provide non-technical learners with confidence in recognizing and addressing everyday cybersecurity threats. By using practical, relatable examples, he ensures participants develop essential habits for safeguarding personal and organizational data.

Truman Ng is a ACTA certified trainer that graduated with Bachelor Degree in Electrical Engineering from NUS in year 2002. He designed Artificial Intelligence (AI) controller for DC-DC Power Convertor by using Fuzzy Logic and Neural Network (NN) as his university Final Year Project.
Truman has over 15 years project experiences across Database & Web Design, PLC machinery, Data Center Design , Structure Cabling System(SCS) and Enterprise Network Design and Implementation. He used to be a network architect for Hewlett Packard, working with a group of virtual team from the US in handling network design and projects in the States.
Truman is the founder of Nexplore (S) Pte Ltd. He provides solutions of Cloud SaaS, IaaS & PaaS and Software Defined Network (SDN), VoIP and Internet Security. He was engaged by Huawei Global Training Center to provide 60+ consultations and trainings for Internet Service Providers(ISP) from Malaysia, Singapore, Brunei, Philippines, Australia, Poland, Iran, South Africa, Swaziland, Cote Dlvoire, Syria, Uzbekistan, New Zealand and countries over the world. As achievement, Truman has successfully completed 100+ IT network projects for Bank, Hotel and Factory within 5 years. Truman is certified in PMP, Cisco CCNP, CCIP, CCDP, HP Ase and Huawei HCNP, HCIE R&S, HCNA Cloud, HCNA Security, etc.

Review

Customer Reviews (14)

will recommend 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
.. (Posted on 8/28/2022)
will recommend 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
, (Posted on 8/9/2022)
Good 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
Good (Posted on 8/9/2022)
will recommend 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
This is great as of now . As a follow -up we can have 2nd course to explore and learn further . (Posted on 5/13/2022)

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