Machine Learning (ML) is a key area of artificial intelligence that enables computers to learn from data and make decisions without explicit programming. In this category, you will get acquainted with the basics of ML, various algorithms (linear regression, decision trees, gradient boosting), learning methods (supervised, unsupervised, reinforcement learning), and tools (Scikit-learn, TensorFlow, PyTorch).
You will learn to analyze data, build models, and apply them to real-world tasks—from trend prediction to process automation.
Machine learning
9 courses Added March 2026
Machine learning Courses & Tutorials (9)
Updated 4mo agoMaster machine learning with Hugging Face. A practical course from basics to real-world projects. Minimum theory, maximum practice.18h 27m
Updated 5mo agoTake the Let's Rust course and develop an ML service in Rust. Train the model, create a REST API for predictions, and deploy the service in Kubernetes.12h 40m
Updated 7mo agoLearn to use Spark ML for creating scalable machine learning solutions. Practice with regression, classification, feature.2h 7m
Updated 8mo agoHello! I am Pau, a machine learning engineer with extensive experience in developing real ML products.4h 3m5/5
Updated 11mo agoIn this practical course, you will learn how to build a complete data pipeline on the AWS platform - from obtaining data from the Twitter API to analysis, stora1h 33m5/5
Updated 11mo agoStudy backpropagation and gradient descent by writing a simple neural network from scratch in Python - without any libraries, just the basics.4h 34m5/5
Updated 11mo agoHave you ever heard the expression "data preparation and cleaning"? This is perhaps the most important part of the entire machine learning process.3h 7m
Updated 11mo agoLearn how to build ML systems from scratch in a clear and direct way. You will work with real tasks and skip long theory that slows you down.32h 6m5/5
Updated 1y agoPredictive analytics and machine learning is a course that will help you master key concepts and practical skills in data.55m
Frequently asked questions
- Is Machine learning a good skill to learn in 2026?
- Machine learning is one of the practical, in-demand skills for 2026 — relevant for IT roles, freelance work, and product teams. Courses on CourseFlix cover Machine learning fundamentals through advanced topics so you can pick a starting point that matches your current level and grow from there.
- How long does it take to learn Machine learning?
- Most learners reach a hireable working knowledge of Machine learning in 3–6 months of consistent practice (roughly 5–10 hours per week). Foundational comfort comes faster — often within a few weeks — but mastery, especially for advanced production scenarios, takes 12+ months of real project work.
- What jobs and roles use Machine learning?
- Machine learning appears across software engineering, data, design, product, and infrastructure roles depending on where it sits in the stack. CourseFlix's Machine learning category aggregates courses recorded by instructors who actually use Machine learning on the job, so you can see the breadth of real applications across roles.
- Are there free Machine learning courses online?
- Yes — CourseFlix's Machine learning listing includes both free and paid courses. Free options are great for first exposure and core concepts; paid courses typically go deeper with projects, instructor feedback, and structured progression that's harder to assemble from free fragments.
- What should I learn before or after Machine learning?
- Prerequisites vary by sub-topic. For most Machine learning courses, comfort with reading documentation, basic command-line use, and at least one general-purpose language helps. After Machine learning, related categories on CourseFlix can extend your stack in adjacent directions.