Free Coupon Machine Learning for Beginners [100% OFF]

Machine Learning Made Simple: A Google Colab Approach for Educators and Learners

Take advantage of a 100% OFF coupon code for the 'Machine Learning for Beginners' course, created by Louisa Muparuri , Nicole Ruvimbo, available on Udemy.

This course, updated on December 05, 2025 and it is expired on December 06, 2025.

This course provides of expert-led training in English , designed to boost your Other IT & Software skills.

Highly rated at 4.9-star stars from 0 reviews, it has already helped 133 students.

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You can find the discounted coupon code for this course at the end of this article

Are you an ICT professional or developer looking to step into the world of Artificial Intelligence and Machine Learning? This course is designed to empower ICT developers with coding backgrounds, whether in Python, SQL, or general ICT systems to understand and implement basic machine learning concepts using Python. Our focus is on practical understanding and coding readiness, so you can start building real models without getting lost in complex theory.

Why This Course?

Machine learning is no longer a niche skill it’s a core competency for modern ICT professionals. Yet, many beginners struggle to bridge the gap between theory and practice. This course solves that problem by providing step-by-step, hands-on guidance using Google Colab, a free cloud-based platform that eliminates installation hassles and gives you access to powerful computing resources like GPUs.

What You’ll Learn

The course is structured into six concise modules that fit into just one hour of learning:

Introduction to Machine Learning
Understand what ML is, how it differs from traditional programming, and explore real-world applications. Learn the ML pipeline and where it fits in ICT systems.
ML Concepts & Terminology
Get familiar with essential terms like datasets, features, labels, training vs testing, and algorithms. Learn the difference between supervised and unsupervised learning in simple language.
Setting Up Your ML Environment
Learn how to set up Python and work in Google Colab. Install key libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib, all without complicated configurations.
Hands-On: Your First ML Model
Build your first machine learning model using Linear Regression. Load a dataset, train the model, visualize predictions, and evaluate accuracy, all in Colab.
Hands-On: Classification Example
Move from prediction to classification with Logistic Regression. Understand binary classification and learn how to interpret a confusion matrix.
Next Steps & Career Roadmap
Discover how to advance your skills beyond this course. Learn about portfolio building, intermediate ML topics, and career paths in AI and data science.