Stanford University and Udemy: 7 Online Courses on Machine Learning

Machine learning is of great significance because it enables the automation and improvement of data analysis processes, making accurate predictions and decisions based on large volumes of information. We share with you a selection of online courses that can teach you this profession.

Published 2 min read

«Machine Learning in Python» from Udemy

In this course, you will learn how to quickly set up Anaconda for machine learning tasks and use Seaborn to create beautiful data visualization charts.

Duration: 3 months
Cost: 33,735 tenge

Machine Learning from University of Washington

Students will implement and apply machine learning algorithms. Upon completion of the course, they will gain experience in applied machine learning and Python programming. Learn to analyze large and complex data sets.

Duration: 2 months
Cost: free

Machine Learning Engineer from Skillbox

Learn to create ML models and train neural networks. Master data analysis and, at the end of the course, choose one of the specializations: natural language processing or Computer Vision.

Duration: 9 months
Cost: 47,282 tenge per month

Machine Learning from Stanford University

Master fundamental AI concepts and acquire practical machine learning skills in a user-friendly program. This beginner-oriented program will teach you the basics of machine learning and how to use these methods to create real-world AI applications.

Duration: 2 months
Cost: free

Machine Learning from Netology

In this course, you will learn how to build machine learning models using the Sklearn library, select algorithms and metrics for different models based on the task. You will also learn how to formulate tasks for data science projects.

Duration: 10 months
Cost: 16,450 tenge per month

Deep Learning Specialization from DeepLearning.AI

Be ready to master theoretical concepts and their application in industry using Python and TensorFlow. By the end of the course, you will be able to build and train deep neural networks, implement vectorized neural networks, determine architectural parameters, and apply deep learning in your applications.

Duration: 3 months
Cost: free

Machine Learning A-Z: AI, Python & R + ChatGPT Prize from Udemy

Aside from basic knowledge, the course is filled with practical exercises based on real-world examples. This way, you will not only study the theory but also gain extensive practical experience in building your own models. As a bonus, the course includes Python and R code templates.

Duration: 3 months
Cost: 33,735 tenge