Machine Learning Courses and Certifications

Edge Impulse

Introduction to Embedded Machine Learning

759 ratings at Coursera

This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers.

• Coursera
• 17 hours 21 minutes
• Self-Paced
• Paid Course

Coursera

Machine Learning Pipelines with Azure ML Studio

832 ratings at Coursera

Build end-to-end machine learning pipeline in Azure ML Studio using Adult Income Census data to predict income levels. Train, evaluate, and deploy a Two-Class Boosted Decision Tree classifier as a web service.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Machine Learning

4 ratings

Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones. Enjoy!

• Coursera
• Self-Paced
• Free Online Course

Fundamentals of Machine Learning

8 ratings

In this tutorial, Dr. Artemy Kolchinsky and Dr. Brendan Tracey outline exactly what it is that makes machine learning so special in an accessible way.

• Complexity Explorer
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Applied Machine Learning

16 ratings at Coursera

Develop practical machine learning skills through hands-on application of supervised learning, ensemble methods, neural networks, and advanced techniques like CNNs and reinforcement learning.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Applied Machine Learning: Techniques and Applications

12 ratings at Coursera

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute

Introduction to Applied Machine Learning

747 ratings at Coursera

Comprehensive introduction to machine learning for professionals, covering problem definition, data preparation, and real-world applications across various domains. Develop skills to identify ML opportunities and translate business needs into ML solution…

• Coursera
• 6 hours 46 minutes
• Self-Paced
• Paid Course

Python Machine Learning Bootcamp (Live Online)

749 ratings at CourseHorse

Pick up the in-demand craft of machine learning and figure out how to design algorithms that pick up patterns and make decisions on their own through this hands-on bootcamp.

• CourseHorse
• Self-Paced
• $1,895.00

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• Self-Paced
• Paid Course

Machine Learning and Emerging Technologies in Cybersecurity

Master machine learning applications in cybersecurity, from neural networks to intrusion detection systems. Gain hands-on experience with RapidMiner and Security Onion while exploring Tor networking and incident response strategies.

• Coursera
• 1 day 15 hours 8 minutes
• Self-Paced
• Paid Course

Python Machine Learning Bootcamp (Live Online)

686 ratings at CourseHorse

Build the practical abilities needed to tackle real-world problems through machine learning.

• CourseHorse
• Self-Paced
• $1,895.00

The Nuts and Bolts of Machine Learning

630 ratings at Coursera

Explore machine learning algorithms, from supervised to unsupervised techniques. Learn to apply models like Naive Bayes, decision trees, and K-means clustering to solve complex data problems and make predictions.

• Coursera
• 1 day 9 hours 53 minutes
• Self-Paced
• Paid Course

Deploying Machine Learning Models

54 ratings at Coursera

Learn to build and deploy recommender systems using Python. Implement similarity-based models, optimize with gradient descent, and create interactive web applications for real-world datasets.

• Coursera
• 10 hours 56 minutes
• Self-Paced
• Paid Course

Georgia Tech;  Brown University

Machine Learning

7 ratings

In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

• Udacity
• 20 hours
• Self-Paced
• Free Online Course

Interpretable Machine Learning

30 ratings at Coursera

Develop transparent and trustworthy AI solutions using interpretable machine learning techniques. Master regression models, decision trees, neural networks, and mechanistic interpretability for responsible AI in high-risk domains.

• Coursera
• 13 hours 33 minutes
• Self-Paced
• Paid Course