Start your journey into production/mlops with foundational concepts and hands-on exercises designed for newcomers.
Not required
Basic programming; comfort with command line
Google’s AI Course for Beginners (in 10 minutes)!
BeginnerHow I'd learn ML in 2025 (if I could start over)
BeginnerNatural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
BeginnerMachine Learning - StatQuest
BeginnerMachine Learning Crash Course - Google Developers
BeginnerMachine Learning by Andrew Ng
BeginnerIBM Data Science Professional Certificate
BeginnerMachine Learning in Production
IntermediateMachine Learning Course - Andrew Ng (Stanford)
IntermediateGoogle’s AI Course for Beginners (in 10 minutes)!
BeginnerHow I'd learn ML in 2025 (if I could start over)
BeginnerNatural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
BeginnerMachine Learning - StatQuest
BeginnerMachine Learning Crash Course - Google Developers
BeginnerMachine Learning by Andrew Ng
BeginnerIBM Data Science Professional Certificate
BeginnerMachine Learning in Production
IntermediateMachine Learning Course - Andrew Ng (Stanford)
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
Google’s AI Course for Beginners (in 10 minutes)!
Learn How I'd learn ML in 2025 (if I could start over)
Natural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
Clear and simple explanations of machine learning algorithms. Understand the math and intuition behind ML with Josh Starmer.
Google's fast-paced, practical introduction to machine learning. A self-study guide for aspiring machine learning practitioners.
The original Stanford ML course taught by Andrew Ng
IBM Data Science Professional Certificate
This course covers the end-to-end process of building and maintaining production ML systems. It includes modules on data needs and modeling strategies, which touch upon the importance of choosing the right data storage and handling evolving data, a key consideration when deciding between row, columnar, and vector-based storage.
Complete Stanford CS229 Machine Learning course by Andrew Ng. Covers supervised learning, unsupervised learning, and best practices.
Explore related content to expand your skills beyond this learning path.
Enroll in this path to track your progress and stay motivated.