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AI Vibe Coding for Smart Contract

Course Information

  • Sessions 2 days
  • Duration 15 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.

AI Vibe Coding for Blockchain dApps

Course Code: C976
AI Vibe Coding Series

8 Review(s) | Add Your Review

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What's This Course About

AI Vibe Coding for Blockchain dApps teaches you how to build decentralised applications on the blockchain by directing AI coding assistants such as Cursor, GitHub Copilot and Claude. With vibe coding, you describe the smart contract or feature you want in plain English, review the code the AI produces and guide it until it works, letting you build Web3 applications far faster than coding everything by hand. The course is designed for developers, technical professionals and entrepreneurs interested in blockchain and Web3.

You will start with the essentials of blockchain, cryptocurrency, smart contracts and Web3, including how transactions, consensus, wallets and gas work on networks such as Ethereum. Next you will develop a dApp with vibe coding, using AI to write Solidity smart contracts, set up a development framework and connect a web front end to the blockchain through a wallet. You will learn how to prompt the AI effectively and review its code with a critical eye.

The course continues with smart contract testing, writing automated tests, checking for common vulnerabilities such as reentrancy and access control flaws and using AI to help audit your code, followed by smart contract deployment to a public test network and interacting with your live dApp. Throughout the course you will learn security best practices that matter when real value is at stake. Every topic is hands-on. By the end, you will be able to build, test and deploy blockchain dApps efficiently using AI vibe coding.

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: Blockchain, Cryptocurrency, Smart Contract and Token Economics

Topic 2: Develop DApp with Vibe Coding

Topic 3: Smart Contract Testing

Topic 4: Smart Contract Deployment

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.

Smart contracts are unforgiving: once deployed, mistakes can be permanent and expensive, so careful review matters even more than speed. Dr. Alfred Ang brings that review-first mindset from building and shipping software with AI assistants. Dr. Ang is CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, and a full-stack AI developer, Agentic AI solution architect and corporate trainer who builds intelligent agents and business solutions end to end, from front end and back end to databases, cloud deployment and native mobile apps. Blockchain projects are not a large part of the public portfolio at github.com/alfredang, so the connection to this course runs through adjacent work where correctness and security carry real weight. Dr. Ang built a certification practice-exam platform with multi-gateway checkout through Stripe, PayPal and other gateways, a tutor marketplace with payment and verification flows, and an ERP prototype that requires human approval before purchase orders proceed and matches invoices three ways. Security is a constant theme, from content security policies and credential-leak guards on web apps to a published secret-scanning skill for Claude Code, and a quantum computing learning site covers cryptographic ideas such as BB84 key distribution. Across more than 300 public repositories, much of the code has been vibe coded with AI assistants and then reviewed line by line, which builds an accurate sense of where AI-generated code tends to hide subtle flaws and how to catch them before release.

This one-day course applies that discipline to Solidity. Learners start with an introduction to smart contracts, Solidity and vibe coding, set up AI coding assistants such as Cursor, GitHub Copilot and Claude, and generate and deploy a first smart contract with AI help. Dr. Ang then covers effective prompting for contract code, showing how precise descriptions of state, permissions and edge cases produce far better output than vague requests. The second topic deepens the build: adding functions, events and state to contracts, testing and debugging with AI, reviewing, auditing and securing AI-generated code, and finally deploying the contract and interacting with it. Because a deployed contract is difficult to change, Dr. Ang treats every AI suggestion as a draft that must be read, tested and questioned, and walks learners through common weaknesses to look for, such as missing access controls, unchecked inputs and logic that behaves differently from what the prompt intended. The teaching style is practical and paced for newcomers: short explanations, live demonstrations, then hands-on building on a test network where mistakes cost nothing, with time to compare outputs from different assistants. No prior blockchain experience is required, though some familiarity with programming concepts helps. Learners leave with a deployed contract, a set of reliable prompts and a review checklist for future projects. Discussion also covers gas costs, upgrade patterns and why professional audits remain essential for any contract that will hold real value. To see the AI-assisted development and security work behind this course, explore Dr. Ang's public portfolio at https://github.com/alfredang

Review

Customer Reviews (8)

Very satisfied 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 8/25/2024)
Fantastic 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 trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 8/11/2024)
Great practical training 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
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 2/25/2024)

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