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Beginner to Intermediate 2026 AI 2026

Artificial Intelligence &
Machine Learning Course Malaysia

Build practical Machine Learning models with Python — data preparation, regression, classification, clustering, evaluation and neural networks in 40 hours.

⏱Duration: 5 days / 40 hrs
💻Format: Instructor-Led + Labs
🌐Delivery: Classroom · Virtual · Hybrid
✅Pass rate: 94%
📅Next intake: 17 Nov 2026
Student prepared for cybersecurity certification training
📊

Real models

Regression, classification and clustering

🐍

Python ML

NumPy, Pandas and scikit-learn

🎯

Evaluation

Choose metrics that match the problem

🧠

Neural nets

A first Deep Learning model

What this programme is

Build practical
Machine Learning models.

Learn how machines learn from data and build practical Machine Learning solutions using Python. The programme covers fundamentals, data preparation, supervised learning, regression, classification, unsupervised learning, clustering, model evaluation and neural networks.

The workflow is: understand the problem, prepare the data, select a model, train, evaluate, improve and predict. You work with real datasets throughout the five days.

This programme goes deeper on Machine Learning than a general AI survey: data, algorithms, training, prediction, classification, clustering and evaluation. Generative AI is introduced for context. HRD Corp claim support is available for eligible employers.

Learning outcomes

After 40 hours you should be able to take a dataset through a complete Machine Learning project.

✓ Explain AI and Machine Learning concepts
✓ Prepare data and run exploratory analysis
✓ Build regression, classification and clustering models
✓ Choose metrics and address overfitting
✓ Understand neural networks and build a basic model in Python

Hands-on projects

✓ Data preparation and exploratory data analysis
✓ Regression and numerical prediction
✓ Classification and model comparison
✓ Customer segmentation with clustering
✓ A basic neural network
✓ End-to-end Machine Learning capstone

Technologies and tools

✓ Python and Jupyter Notebook
✓ NumPy, Pandas and Matplotlib
✓ scikit-learn
✓ TensorFlow / Keras or PyTorch
✓ Git / GitHub

Tools may be updated to match current industry practice.

Certification

Participants who complete the programme requirements receive the Nexperts Academy Professional Certificate in Artificial Intelligence and Machine Learning.

Continue your AI learning journey

Advanced Machine Learning and Deep Learning

✓ Neural networks, computer vision, NLP and further model work.

AI Engineering and Agentic AI

✓ LLM applications, RAG, tools, APIs, workflows and agents.

AI-powered software development

✓ Using modern AI tools to build software faster.

Continue into the Artificial Intelligence course for Generative AI and RAG, or Agentic AI Engineering for multi-step agents.

Who should take this course

💻

Developers

First practical Machine Learning models.

🖥️

IT and engineers

Apply ML to technical and business data.

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Analysts

Move from dashboards to predictions.

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Graduates

A 40-hour hands-on ML foundation.

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Career switchers

Portfolio projects across the ML workflow.

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Founders

See where predictive models fit a product.

Prerequisites

✓ Basic computer literacy
✓ Programming is helpful but not mandatory — required Python is taught in class
✓ Basic maths and statistics help; advanced mathematics is not required
→ Ask enrolment for a free readiness checklist before class.