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Data has become a valuable asset for businesses, governments and individuals in today's rapidly evolving digital landscape. With the rise of data science, machine learning, and artificial intelligence, there has never been a more exciting time to dive into these fields. In this blog, we will introduce you to a collection of free courses that can help 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 gained immense popularity among community members. The best part about this learning path is that it is completely personalized and community-based, allowing you to learn at your own pace and connect with like-minded people who share your passion for data.
The Data Science Bachelor Program consists of essential courses in theory, mathematics, algorithms, statistics, data science tools, databases, and machine learning. The program aims to cover all necessary and optional courses that can help students master data science and prepare for their professional life.
The Data Science curriculum is designed for people who are motivated and want to achieve something meaningful in their lives. It offers a comprehensive undergraduate 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 has 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 giving you hands-on experience across various projects.
Check out 10 GitHub Repositories to Master Machine Learning for a variety of resources, from tutorials for beginners to advanced machine learning tools for productions.
The 10 repositories contain:
- Microsoft 12-Week Beginner's ML Program
- Links to ML courses, tutorials, and conferences from Clatech, Stanford, and MIT.
- Mathematics for machine learning
- Deep Learning eBook.
- Machine Learning Bootcamp.
- List of machine learning tutorials.
- List awesome machine learning tools.
- Machine Learning Interview List.
- Machine Learning Cheat Sheets.
- List of MLOps tools.
The DataTalks.Club MLOps bootcamp focuses on the practical aspects of producing machine learning services. The course is designed for data scientists, ML engineers, software engineers, and data engineers who are interested in learning how to deploy ML models in production.
The bootcamp consists of several modules that combine video lectures, practical exercises, assignments and additional reading materials to deepen the understanding and application of the concepts. The goal of the course is to provide students with a solid foundation in MLOps, allowing them to effectively manage and deploy machine learning models in real-world scenarios.
The Large Language Model (LLM) course is a comprehensive program that will teach you the fundamentals of LLMs, train and refine your own LLMs, and deploy them into production. Each main section covers a variety of topics, supported by freely available online YouTube tutorials, guides, and resources.
The LLM course provides a structured approach to learning. It offers a variety 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 start their career in data science, 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 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.