Start your journey into cloud ml with foundational concepts and hands-on exercises designed for newcomers.
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Not required
Basic programming; comfort with command line
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IntermediateComplete Machine Learning Playlist - Krish Naik
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.
AI Art For Beginners - Stable Diffusion Crash Course Syllabus Overview
Learn the essentials of the Tidyverse in R for data wrangling and visualization, which includes powerful tools for cleaning and transforming data.
End-to-end machine learning tutorials covering algorithms, projects, deployment, and interview preparation.
Explore related content to expand your skills beyond this learning path.
Start your journey into cloud ml with foundational concepts and hands-on exercises designed for newcomers.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Deploy ML models on cloud platforms; Use managed ML services effectively; Design scalable ML architectures.
About 76 hours of study across 8 courses — and you can go at your own pace.
It's pitched at beginner level — a solid starting point if you're new to the topic.
8 curated courses, sequenced from foundational to advanced.
Around $25 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.