25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI

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In today's rapidly developing technology landscape, it is crucial to master skills in data science, machine learning, and artificial intelligence. Whether you're looking to embark on a new career or enhance your current experience, there are a wealth of online resources available – and many of them are free! We've rounded up the top posts about free courses (that you love) from KDnuggets and compiled them to bring you a collection of great courses. Bookmark this page for future reference as you will likely return to it to learn new skills or try new courses.

1. Python for everyone by Prof. Charles Severance: A complete introduction to Python programming, ideal for beginners.
2. Data analysis with Python by Jovian: Dive into data analysis techniques using Python.
3. Databases and SQL By freeCodeCamp: Learn how to manage databases with SQL.
4. Introduction to inferential statistics of Udacity: Learn how to make predictions from statistical learning.
5. Machine Learning Zoomcamp By DataTalks.Club: A practical (project-based) approach to machine learning.

Learn more about individual courses by reading 5 Free Courses to Master Data Science

1. Data engineering by IBM on edX: Understand the fundamentals of data engineering.
2. Data Engineer Learning Path by Google: A guided path for aspiring data engineers.
3. Database Engineer Professional Certificate by Meta: Earn certification in database engineering.
4. Specialization in Big Data by UC San Diego: Learn more about big data technologies and applications.
5. The data engineering Zoomcamp By DataTalks.Club: A practical (project-based) course for data engineering.

Learn more about the individual course by reading 5 Free Courses to Master Data Engineering

1. Introduction to machine learning by Kaggle: An introduction to machine learning for beginners.
2. Machine learning for everyone by Kylie Ying: An accessible approach to machine learning concepts.
3. Machine Learning in Python with Scikit-Learn by FUN MOOC: Focus on machine learning using Python and Scikit-Learn.
4. Machine Learning Crash Course by Google: A quick but comprehensive introduction to machine learning.
5. CS229: Machine Learning by Stanford University: A more advanced course for those looking to deepen their knowledge.

Learn more about individual courses by reading 5 Free Courses to Master Machine Learning

1. Python Basics for MLOps by Duke University: A must-have course for MLOps enthusiasts.
2. MLOps for beginners by Udemy: A great starting point for MLOps beginners.
3. Specialization in Machine Learning Engineering for Production (MLOps) by DeepLearning.ai: Immerse yourself in the world of MLOps. It's a collection of course.
4. Machine Learning Operations Specialization by Duke University: Focus on the operational aspects of machine learning.
5. Made with machine learning by Goku Mohandas: A unique course that combines machine learning with practical applications. Quite popular on GitHub.

Learn more about individual courses by reading 5 Free Courses to Master MLOps

1. ai-for-beginners” rel=”noopener” target=”_blank”>Generative ai for beginners by Microsoft: 12 lessons for creating generative ai applications.
2. ai-fundamentals” rel=”noopener” target=”_blank”>Fundamentals of Generative ai by DataBricks: Explore the basics of generative ai.
3. Introduction to the Generative ai Learning Path by Google: From learning the basics of large language models to understanding the principles of responsible ai.
4. ai-with-llms” rel=”noopener” target=”_blank”>Generative ai with large language models by AWS and DeepLearning.ai: Get hands-on ai experience with AWS experts who build and deploy ai in business use cases.
5. ai-for-everyone” rel=”noopener” target=”_blank”>Generative ai for everyone By DeepLearning.ai: What it is, how it works, common use cases and limitations of GenAI.

Learn more about individual courses by reading 5 Free Courses to Master Generative ai

In this blog, we cover 25 free online courses that can help you build a solid foundation in data science and its related subfields. Improve your skills with more advanced courses in topics such as machine learning, MLOps, and generative ai. No matter what stage of your data science learning journey you are at, these free courses make quality education accessible to everyone. They offer flexible learning that fits even the busiest schedules. Happy learning!

Abid Ali Awan (@1abidaliawan) is a certified professional data scientist who loves building machine learning models. Currently, he focuses on content creation and writing technical blogs on data science and machine learning technologies. Abid has a Master's degree in technology Management and a Bachelor's degree in Telecommunications Engineering. His vision is to build an artificial intelligence product using a graph neural network for students struggling with mental illness.