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AI Vibe Coding for Blockchain

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.

Blockchain Fundamentals Masterclass

Course Code: C544
AI Vibe Coding Series

8 Review(s) | Add Your Review

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What's This Course About

Blockchain Fundamentals Masterclass gives you a clear, practical understanding of blockchain technology and how it powers cryptocurrencies, smart contracts and decentralised applications (dApps). Blockchain enables trusted, tamper-resistant records without a central authority, with applications in finance, supply chains, digital identity and more. The masterclass is designed for business professionals, developers, IT staff, entrepreneurs and anyone who wants to understand blockchain and Web3 beyond the headlines, with a hands-on, AI-assisted approach to building.

You will start with the fundamentals of blockchain, cryptocurrency, smart contracts and Web3, covering how blocks, hashing, consensus mechanisms, public and private keys and wallets work, and the differences between major networks such as Bitcoin and Ethereum. You will also discuss real-world use cases, benefits and limitations. Next you will develop a simple dApp using vibe coding, directing AI coding assistants to write a Solidity smart contract and connect it to a web front end.

The course continues with smart contract testing, learning how to test contracts on a local blockchain and identify common security vulnerabilities, followed by smart contract deployment to a test network and interacting with it through a wallet. Throughout the masterclass, concepts are explained step by step so no prior blockchain experience is needed. By the end, you will understand how blockchain works, be able to evaluate blockchain opportunities and have built and deployed your own simple decentralised application.

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

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 Fundamentals and Distributed Ledgers

Topic 2: Cryptocurrency, Wallets and Consensus Mechanisms

Topic 3: Smart Contracts and Decentralised Applications (dApps)

Topic 4: Building and Deploying a Simple dApp

Topic 5: Blockchain Use Cases, Risks and Regulation

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.

Blockchain applications succeed or fail on the same foundations as any other web software: a usable front end, careful handling of payments and keys, and code that has been reviewed before it touches real value. Those foundations are where Dr. Alfred Ang brings experience. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and the CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, building intelligent agents and business platforms end-to-end across front end, back end, databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub record that work. Smart contracts are not among them, and Dr. Ang says so openly; the relevant experience is in the surrounding stack. Dr. Ang has built full-stack web applications on Next.js and React, including a certification practice-exam platform with multi-gateway checkout and a tutor marketplace that takes payments through Stripe. Security is a recurring theme: several sites ship with hardened content security policies, an IT service desk demo includes a guard against users pasting credentials, and a published Claude Code skill scans repositories for leaked secrets before code is pushed. An ERP prototype matches purchase orders, deliveries and invoices and routes approvals to people over email and Telegram, an exercise in building tamper-resistant audit trails. Above all, almost everything in the portfolio was written alongside AI coding assistants, so Dr. Ang knows first-hand both how quickly AI can produce working code and how confidently it can produce insecure code.

That balance of speed and scepticism is what this course teaches for blockchain development. Learners are introduced to blockchain, smart contracts 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 on a test network. Effective prompting for blockchain code generation is covered explicitly, because a vague prompt can yield a contract that compiles but behaves in ways nobody intended. The second topic connects smart contracts to a decentralised application front end, the part of the stack closest to Dr. Ang's own web work, and then turns to testing and debugging contracts with AI. A full session is given to reviewing, auditing and securing AI-generated code, examining common vulnerability patterns and asking the assistant to critique its own output, before learners deploy and interact with their finished blockchain app. Dr. Ang's teaching style is hands-on and safety-first: every contract is treated as if real funds depend on it, every generated function is read and explained before it is accepted, and learners practise spotting the gap between code that works and code that is safe. Developers new to blockchain, and technical managers who need to judge blockchain proposals, leave with a deployed working app and a disciplined review routine. To explore the web, payment and security projects that inform this course, visit Dr. Ang's portfolio at https://github.com/alfredang

Review

Customer Reviews (8)

Well structured course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 7/18/2024)
Would attend again 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 6/23/2024)
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
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 4/16/2024)

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