Start your journey into model deployment 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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AdvancedIntroduction to Regression with statsmodels in Python
IntermediateIntroduction to Linear Models and Matrix Algebra
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BeginnerML Model Deployment & MLOps with FastAPI, Streamlit, MLflow
AdvancedIntroduction to Regression with statsmodels in Python
IntermediateIntroduction to Linear Models and Matrix Algebra
BeginnerFollow these courses in order to complete the learning path. Click on any course to enroll.
Google’s AI Course for Beginners (in 10 minutes)!
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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
Machine Learning Model Deployment
This course introduces you to regression analysis using the statsmodels library in Python. You'll learn how to build, interpret, and evaluate linear regression models.
This course provides a review of the basics of linear models and matrix algebra, which are foundational concepts for understanding regression methods.
Explore related content to expand your skills beyond this learning path.
Start your journey into model deployment 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; Design and implement ML pipelines; Version control data and models effectively; Automate model training and deployment.
About 146 hours of study across 10 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.
10 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.