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AI Vibe Coding for Geofencing

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

Course Brochure

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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 Geofencing

Course Code: C485
AI Vibe Coding Series

8 Review(s) | Add Your Review

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What's This Course About

AI Vibe Coding for Geofencing teaches you how to build location-aware applications by directing AI coding assistants such as Cursor, GitHub Copilot and Claude. Geofencing triggers actions when a device enters or leaves a defined area, powering use cases such as attendance tracking, delivery notifications, field service, asset monitoring and location-based marketing. The course is designed for developers, technical professionals and product builders who want to create mapping and geofencing solutions faster with AI.

You will start by getting started with AI vibe coding for geofencing, setting up your tools and learning how to prompt an AI assistant to plan, write and debug code. You will understand GPS, coordinates and location services on web and mobile. Next you will build maps and location features with AI, displaying interactive maps, markers and routes, capturing a user's location and drawing geofence areas as circles and polygons. You will then implement geofencing logic and real-time events, detecting entry and exit, handling accuracy and battery considerations, and sending alerts and notifications.

The final topic covers building and deploying a complete geofencing app with AI, adding a backend to store locations and events, a simple dashboard and deployment to the cloud. Throughout the course you will learn to review AI-generated code, test location features and handle privacy and consent for location data responsibly. Every topic is hands-on. By the end, you will be able to build and deploy working geofencing applications 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.
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

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: Getting Started with AI Vibe Coding for Geofencing

Topic 2: Building Maps and Location Features with AI

Topic 3: Geofencing Logic and Real-Time Events with AI

Topic 4: Building and Deploying a Geofencing App with AI

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

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

Job Roles

Job Roles

  • Market Research Analyst
  • Digital Marketing Specialist
  • SEO Strategist
  • SEM Manager
  • Web Analyst
  • Content Marketing Manager
  • E-commerce Manager
  • User Experience (UX) Researcher
  • Performance Marketing Specialist
  • Growth Hacker
  • Product Manager
  • Brand Strategist
  • Conversion Rate Optimizer
  • Customer Acquisition Specialist
  • Media Planner

Trainers

Trainers

Location-aware apps form a strong part of the portfolio of Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect and corporate trainer who serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses. Building end to end, from front ends and back ends to databases, cloud deployment and native mobile apps, Dr. Ang has shipped several map-based products with the help of AI coding assistants. A native iOS running app on the App Store tracks runs by GPS with a live MapKit route and spoken milestones, with an Android version in Kotlin and Jetpack Compose. Car park availability apps for iOS and Android plot live transport data on Apple Maps and Google Maps, while EV charging point finders do the same for nearby chargers. A bus arrivals app, an MRT journey planner with GPS nearest-station detection and a weather app with current-location detection add further experience with location services and permissions. A food-sharing app places listings on a map with time windows, and the HR app Dr. Ang built for the academy includes clock-in and clock-out attendance, a classic geofencing use case. A low-code IoT platform powered by n8n connects ESP32 and Raspberry Pi devices over MQTT and HTTP for real-time control. These projects, among more than 300 public repositories on GitHub, were built quickly by directing AI assistants with clear requirements. Each app had to handle permissions, accuracy and battery life on real phones.

AI Vibe Coding for Geofencing draws directly on that experience of building map and location features with AI. Dr. Ang starts by setting up the vibe-coding workflow: choosing an assistant such as Cursor, GitHub Copilot or Claude, describing the app in plain English and reviewing the plan it proposes. In the second topic, learners build maps and location features, displaying the user's position, adding markers and drawing circular and polygon zones, while learning how location permissions and accuracy settings behave on real devices. The third topic tackles geofencing logic and real-time events: detecting entry and exit, handling GPS jitter so alerts are not triggered repeatedly, logging events and sending notifications to a back end. The final topic brings everything together in a working geofencing app that is tested and deployed, with practical scenarios such as attendance check-in, delivery alerts or asset monitoring. Dr. Ang shares lessons learned from publishing location apps to the App Store and Google Play, including battery usage, background limits and user privacy, so learners design responsibly from the start. Teaching is hands-on: Dr. Ang demonstrates a prompt, explains the generated code, and then each learner builds the feature into their own project, testing as they go. By the end, everyone has a functioning geofencing application and a repeatable way to build location features with AI. Learners also see how to store location data responsibly and explain its use to app users. To see the map and location apps that inform this course, visit 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?
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 17/06/2024)
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
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 13/04/2024)
Knowledgeable trainer 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
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 17/01/2024)

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