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AI Vibe Coding for Crypto Tokens

Course Information

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

Venue

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Agentic AI for Affiliate Marketing

Course Code: C1319
AI Vibe Coding Series

9 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.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

Course Fee

₵1,500.00

Course Date

Course Time

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 info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

Prerequisite

Basic programming and familiarity with blockchain concepts are recommended. Use test networks and test funds for the practical exercises.

Software Requirement

Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.

Also prepare the tools needed for the practical exercises:

Confirm the version, account permissions and any API usage budget with the trainer before class.

Hardware Requirement

Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.

Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.

If you need help arranging a suitable device, contact us before the class to confirm availability.

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

Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.

Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.

Writing code that moves value demands care, and Dr. Alfred Ang approaches this course as a working developer who uses AI coding assistants every day to build software where mistakes are costly. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses. Smart contracts are not the main focus of Dr. Ang's public portfolio, but the disciplines that matter most for tokens run right through it. Dr. Ang built a certification practice-exam platform with multi-gateway checkout across Stripe, PayPal, HitPay and PayNow, a tutoring marketplace with verified payments and document checks, and the course-registration system that runs the Tertiary Courses websites in Singapore, Malaysia and Ghana, all of which handle money and must behave predictably. Security habits feature strongly too: a collection of Claude Code skills that includes a secret scanner to stop keys and passwords being committed, an IT service desk demo with a credential-leak guard, and several sites hardened with strict Content Security Policies. Dr. Ang works end to end, from front end and back end to databases, cloud deployment and native mobile apps, and has published more than 300 public repositories on GitHub, many of them built through AI-assisted vibe coding with careful human review at every step. That combination of AI speed and engineering caution is exactly what token development needs.

In AI Vibe Coding for Crypto Tokens, Dr. Ang brings that same mindset to blockchain code. The course begins with what crypto tokens are, how token standards define their behaviour and how vibe coding changes the way developers write them. Learners set up AI coding assistants such as Cursor, GitHub Copilot and Claude, then generate and deploy an ERC-20 token by describing what they want in plain language, learning along the way how to prompt precisely enough that the assistant produces correct, readable contract code. The second topic deepens the build: adding minting, transfer and supply logic, then testing and debugging token contracts with AI help. Because code deployed to a blockchain is difficult to change afterwards, Dr. Ang gives particular weight to reviewing, auditing and securing AI-generated tokens, showing learners how to question the assistant's output, ask it to explain every function, look for common weaknesses and confirm behaviour with tests rather than assumptions. The course closes with deploying the finished token and interacting with it, so learners see the whole life cycle from prompt to working contract. Teaching is hands-on and incremental: each feature is generated, run, inspected and improved before the next is added, which builds confidence without hiding the underlying logic. The aim is for learners to stay firmly in control of the code while letting AI handle the repetitive parts. No financial or investment advice is offered; the focus is purely on building and securing tokens well. To see the payment and security-minded projects behind this approach, visit https://github.com/alfredang

Review

Customer Reviews (9)

Learned a lot 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
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 6/7/2026)
Worth every cent 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
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 3/14/2026)
Great learning experience 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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 3/8/2026)
Worth every cent 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
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 12/10/2025)
Highly recommended 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
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 9/15/2025)

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