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Data has become a valuable resource for businesses, governments and individuals in today’s rapidly evolving digital landscape. With the rise of data analytics, machine learning, and artificial intelligence, there has never been a more thrilling time to delve into these fields. In this blog, we will introduce you to a collection of free courses that will lend a hand you learn and master various aspects of data science, data engineering, machine learning, MLOps and LLMOps.
These courses are available for free on GitHub and have become extremely popular among community members. The best thing about this learning path is that it’s self-paced and community-based, so you can learn at your own pace and connect with like-minded people who share your passion for data.
The Data Science bachelor’s degree program consists of core courses in theory, mathematics, algorithms, statistics, data analysis tools, databases, and machine learning. The program aims to cover all crucial and elective courses that can lend a hand students master data science and prepare for professional life.
The Data Science program is intended for motivated people who want to achieve something significant in their lives. It offers a comprehensive bachelor’s degree program in Data Science, providing access to courses from the most prestigious universities in the world.
If you want to become a professional data engineer, DataTalksClub offers a 6-week bootcamp that you can sign up for now. The bootcamp consists of several modules and courses that will teach you various skills. By the end of the course, you will be able to work with GCP, Docker, Postgres, Terraform, Mage, BigQuery, Spark and Kafka.
The Data Engineering bootcamp is designed to challenge and develop your skills while providing hands-on experience on a variety of projects.
Check out 10 GitHub Repositories for Mastering Machine Learning to access a range of resources, from beginner-friendly tutorials to advanced machine learning tools for production.
10 repositories include:
- Microsoft’s 12-week ML-For-Beginners program
- Links to ML courses, tutorials and lectures from Clatech, Stanford and MIT.
- Mathematics for machine learning
- Deep Learning eBook.
- Machine learning bootcamp.
- List of machine learning tutorials.
- A list of amazing machine learning tools.
- Machine Learning Interview List.
- Machine learning cheat sheets.
- MLOps tool list.
The MLOps bootcamp from DataTalks.Club focuses on the practical aspects of producing machine learning services. The course is intended for data scientists, ML engineers, software engineers, and data engineers who want to learn how to deploy ML models in production.
The bootcamp consists of several modules that combine video lectures, hands-on exercises, homework assignments, and additional reading material to deepen your understanding and application of concepts. The course aims to provide students with a solid foundation in MLOps, enabling them to effectively manage machine learning models and implement them in real-world scenarios.
The Huge Language Model (LLM) course is a comprehensive program that will teach you the basics of LLM, train and refine your own LLM, and implement it in a production environment. Each main section covers a range of topics, supported by freely available online tutorials, guides and YouTube resources.
The LLM course provides a structured approach to learning. It offers a range of resources including tutorials, videos, notebooks and articles, all available in one convenient GitHub repository.
This collection of free courses offers a wealth of resources for anyone looking to pursue a career in data analytics, data engineering, machine learning, MLOps, and LLMOps. With courses covering theory, tools, examples, and real-world implementation, these self-paced career paths have something valuable to offer both beginners and seasoned professionals.
Abid Ali Awan (@1abidaliawan) is a certified data science professional who loves building machine learning models. Currently, he focuses on creating content and writing technical blogs about machine learning and data science technologies. Abid holds a Master’s degree in Technology Management and a Bachelor’s degree in Telecommunications Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.