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Course Details
Course Details
What You'll Learn
Topic 1: REST API Fundamentals and AI Vibe Coding
Topic 2: AI-Assisted API Functions, Routing and Security
Topic 3: Request Handling, Data Validation and JSON Responses
Topic 4: API Error Handling, Testing and Debugging
Topic 5: API Architecture, Data Models and Database Integration
Topic 6: REST API Documentation, Integration and Deployment
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: 18-65 years old
Minimum Software/Hardware Requirement
You will need the following for this course:
- Node.js (LTS) – free
- Visual Studio Code – free
- An AI coding assistant with a free tier, e.g. GitHub Copilot Free in Visual Studio Code
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.
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
- API Developer
- Backend Developer
- Python Developer
- Software Engineer
- Web Developer
- Full Stack Developer
- Data Engineer
- DevOps Engineer
- Software Architect
- Technical Lead
- System Integrator
- Cloud Engineer
- Database Administrator
- Application Developer
- Security Engineer
- Solutions Architect
- Integration Specialist
- Technical Consultant
- Product Engineer
- API Security Specialist
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.
Behind every application Dr. Alfred Ang ships is an API layer, and designing those interfaces is a core part of the job. 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, the Singapore organisation behind Tertiary Courses. Dr. Ang built a social media publishing platform in which one API call posts video, photos and text to 22 platforms, with scheduling, queues, pipelines, analytics and client SDKs. Other API-driven work includes a full-stack fitness platform with an Express and Prisma API on PostgreSQL, a developer portal for exploring government training APIs through React and Express, and a digital business card platform with a built-in CRM on Next.js and Prisma. The course-registration system that runs the Tertiary Courses sites in Singapore, Malaysia and Ghana exposes authenticated read and write endpoints that AI agents call directly, and an ERP prototype uses signed webhooks so only trusted callers can trigger actions. Dr. Ang's native iOS and Android apps, including an HR client and an exam practice app, consume these back-end services daily. With more than 300 public repositories on GitHub, Dr. Ang has repeatedly designed, secured, documented and deployed APIs that other software depends on, using AI coding assistants to build them quickly. Much of this API code was written with AI coding assistants under Dr. Ang's direction, then reviewed, tested and hardened before release, a workflow learners will practise throughout the course.
AI Vibe Coding for REST API follows the same build path using Python and FastAPI. Learners begin with REST fundamentals and AI vibe coding, directing assistants such as Cursor, GitHub Copilot and Claude to scaffold endpoints instead of typing everything by hand. The course then covers AI-assisted API functions, routing and security, followed by request handling, data validation with clear schemas and well-structured JSON responses. Participants learn to handle errors consistently, write tests and debug failing calls, then design data models and integrate a database so the API persists real information. The final topic covers documentation, integration and deployment, including automatically generated interactive docs and putting the API online for client applications to use. Dr. Ang's teaching draws on lessons from production APIs: why authentication and input validation cannot be an afterthought, why consistent error formats save hours for front-end and mobile developers, and why signed or keyed access protects endpoints that agents are allowed to call. Classes are hands-on and build one API progressively, with Dr. Ang reviewing AI-generated code live and showing how to prompt for safer, cleaner designs. Learners leave with a deployed, documented REST API and a reliable AI-assisted workflow for building the next one. Learners also see how front-end and mobile clients consume their API, which makes the importance of predictable responses, versioning and clear documentation easy to appreciate from both sides. The API-driven projects behind this course are available at https://github.com/alfredang.
Review
Customer Reviews (5)
- Fantastic experience Review by Course Participant/Trainee
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A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 4/9/2026)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 - Very informative Review by Course Participant/Trainee
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Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 6/21/2025)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 structured course Review by Course Participant/Trainee
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The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 3/18/2025)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 - Exceeded my expectations Review by Course Participant/Trainee
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The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 10/7/2024)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 - Excellent course Review by Course Participant/Trainee
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Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 2/12/2024)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
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