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AI Vibe Coding for REST API

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Learning Outcomes

By the end of the course, learners will be able to:

  • LO1: Explain REST API fundamentals and the AI vibe coding workflow with FastAPI.
  • LO2: Build API functions, routing and security with AI assistance.
  • LO3: Handle requests, validate data and return JSON responses.
  • LO4: Handle errors, and test and debug the API.
  • LO5: Design data models, integrate a database, document the API and deploy it.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Participants who achieve at least 75% attendance will receive a Certificate of Attendance from Tertiary Courses Malaysia.

AI Vibe Coding for REST API

Course Code: C428
AI Vibe Coding Series

5 Review(s) | Add Your Review

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What's This Course About

AI Vibe Coding for REST API teaches you how to build production-grade REST APIs with Python and FastAPI by directing AI coding assistants such as Cursor, GitHub Copilot and Claude instead of typing every line yourself. Vibe coding lets you describe what you want in plain English, review the code the AI produces and steer it until it meets your requirements. The course is designed for developers, data professionals and technical learners who want to create reliable APIs faster with AI assistance.

You will start with the AI vibe coding workflow and FastAPI project set-up, learning how to plan an API, prompt an AI assistant effectively, structure a project and run a development server. Next you will design REST endpoints and data models with AI, applying REST principles, HTTP methods and status codes, and using Pydantic for request validation and response models. You will then integrate a database and add authentication with vibe coding, connecting to SQL databases, implementing CRUD operations and securing endpoints with token-based authentication.

The final topic covers testing, documenting and shipping your API, including automated tests with pytest, interactive OpenAPI documentation, error handling and deploying your API to the cloud. Throughout the course you will learn to review AI-generated code critically, catch security issues and keep your project maintainable. Every topic is hands-on, building a complete API from start to finish. By the end, you will be able to design, build, test and deploy REST APIs efficiently using AI vibe coding.

This course is part of our AI training in Malaysia, where you can browse all our AI courses. See more AI vibe coding courses.

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.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

* Required Fields

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my 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: 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

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

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

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)

Very informative 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 06/06/2026)
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?
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 07/08/2025)
Exceeded my expectations 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 05/07/2025)
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
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 05/08/2024)
Excellent 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?
3. How do you find the training environment
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 29/04/2024)

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