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

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In today’s rapidly developing technological landscape, it is crucial to master skills in data science, machine learning, and AI. Whether you’re seeking to embark on a new career or enhance your existing expertise, there is a plethora of online resources available, and many of them are free! We have gathered the top posts on free courses (that you love) from KDnuggets and compiled them to provide you with a collection of courses that are excellent. Bookmark this page for future reference, as you will likely return to it to learn new skills or try out new courses.

 

 

1. Python for Everybody by Prof. Charles Severance: A comprehensive introduction to programming using Python, 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. Intro to Inferential Statistics from Udacity: Gain insights into making predictions from statistical learning.
5. Machine Learning Zoomcamp by DataTalks.Club: A practical (project based) approach to learning machine learning.

Learn more about individual course 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: Get certified in database engineering.
4. Big Data Specialization by UC San Diego: Learn about big data technologies and applications.
5. The Data Engineering Zoomcamp by DataTalks.Club: A hands-on (project based) course for data engineering.

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

 

 

1. Intro to Machine Learning by Kaggle: A beginner-friendly introduction to machine learning.
2. Machine Learning for Everybody 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 yet thorough 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 course by reading 5 Free Courses to Master Machine Learning

 

 

1. Python Essentials for MLOps by Duke University: An essential course for MLOps enthusiasts.
2. MLOps for Beginners by Udemy: A great starting point for MLOps novices.
3. Machine Learning Engineering for Production (MLOps) Specialisation by  DeepLearning.AI: Dive deep into the world of MLOps. It is a collection of course.
4. Machine Learning Operations Specialization by Duke University: Focus on the operational aspects of machine learning.
5. Made With ML by Goku Mohandas: A unique course that blends machine learning with practical applications. Quite popular on GitHub.

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

 

 

1. Generative AI for Beginners by Microsoft: 12 lessons for building Generative AI applications.
2. Generative AI Fundamentals by DataBricks: Explore the basics of Generative AI.
3. Introduction to Generative AI Learning Path by Google: From learning the basics of large language models to understanding responsible AI principles.
4. Generative AI with Large Language Models by AWS and DeepLearning.AI: Get hands-on experience in AI with AWS experts who build and deploy AI in business use cases.
5. Generative AI for Everyone by DeepLearning.AI: What it is, how it works, common use cases, and limitations of GenAI.

Learn more about individual course by reading 5 Free Courses to Master Generative AI

 

 

In this blog, we have covered 25 free online courses that can help you build a strong foundation in data science and its related subfields. Level up your skills with more advanced courses in topics like machine learning, MLOps, and Generative AI. No matter where you are in your data science learning journey, these free courses make quality education accessible for everyone. They offer flexible learning that fits into even the busiest schedules. Happy learning!
 
 

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in Technology Management and a bachelor’s degree in Telecommunication Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.