• Home
  • AI Vibe Coding for Machine Learning

AI Vibe Coding for Machine Learning

Course Information

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

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Download Course Brochure

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 Machine Learning

Course Code: C430
AI Vibe Coding Series
  • HRDF

8 Review(s) | Add Your Review

What's This Course About

Build machine learning models with AI Vibe Coding for Machine Learning. This hands-on 2-day course teaches you how to use AI coding assistants such as Cursor, GitHub Copilot and Claude to write, train and evaluate machine learning models in Python. Instead of wrestling with framework syntax, you will vibe code — describing the data, model and metrics you want in plain language and letting AI generate, refactor and debug your ML code while you focus on the problem and the results.

Through practical projects, participants will prepare and explore datasets, train classic machine learning and deep learning models, evaluate and tune their performance, and deploy a model behind a simple app — all with an AI pair programmer at their side. You will also learn to review, test and validate AI-generated code and results so your models are sound and reproducible. By the end of the course, you will be able to build, evaluate and ship machine learning solutions faster and more confidently by combining core ML fundamentals with an effective AI vibe-coding workflow.

Course Fee

MYR2,200.00

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.

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 Machine Learning

  • Introduction to Machine Learning and Vibe Coding
  • Setting Up Python, ML Libraries and AI Coding Assistants (Cursor, GitHub Copilot, Claude)
  • Loading and Exploring a Dataset from a Prompt
  • Effective Prompting for Machine Learning Code

Topic 2 Building and Training Models with AI

  • Preparing and Cleaning Data
  • Training Classic Machine Learning Models
  • Building Neural Networks with AI Assistance
  • Explaining and Debugging Models with AI

Topic 3 Evaluating and Improving Models

  • Measuring Model Performance
  • Tuning Hyperparameters
  • Avoiding Overfitting and Data Leakage
  • Reviewing and Refactoring AI-Generated Code

Topic 4 Deploying Machine Learning with AI

  • Saving and Loading Trained Models
  • Serving a Model behind a Simple App
  • Testing and Validating Predictions
  • Packaging and Sharing Your ML Project

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • Machine Learning Engineer
  • Data Scientist
  • Deep Learning Researcher
  • AI Developer
  • Neural Network Designer
  • Computer Vision Engineer
  • NLP Engineer (branching into deep learning)
  • AI Product Manager (technical understanding)
  • Robotics Engineer (with AI components)
  • Bioinformatics Scientist (deep learning applications)
  • Medical Imaging Specialist (AI-focused)
  • Game Developer (AI-driven features)
  • Predictive Analytics Specialist
  • AI/ML Educator or Trainer
  • Autonomous Systems Developer.

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (8)

Good course materials 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 27/02/2025)
Practical and relevant 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 08/02/2025)
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
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 25/02/2024)

Items 6 to 8 of 8 total

per page
Page:
  1. 1
  2. 2

Write Your Own Review

You're reviewing: AI Vibe Coding for Machine Learning

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
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