The goal of this course is to provide you with a set of tools that can be used to build predictive model services for product teams. In this course, you’ll start by covering the different cloud environments and tools for building scalable data and model pipelines. You’ll then learn the different data sets and types of models that will be used heavily in everyday production. Throughout the course, you’ll have plenty of exercises and challenges to get you comfortable working with the diverse toolset. Lastly, you’ll explore streaming model workflows which is crucial for building real-time data pipelines that move data between different components in a cloud environment. After working through this course, you will have gained valuable hands-on experience with many of the tools needed to build data products. You will also have a better understanding of how to build scalable machine learning pipelines in a cloud environment.

ABOUT THE AUTHOR

Ben Weber

Data Science at Zynga, UCSC Alum

Learn more about Ben

Trusted by 2.9 million developers working at companies

These are high-quality courses. Trust me the price is worth it for the content quality. Educative came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks

Anthony Walker

@_webarchitect_

Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!

Evan Dunbar

ML Engineer

You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it.

Software Developer

Carlos Matias La Borde

I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site

Souvik Kundu

Front-end Developer

Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content.

Vinay Krishnaiah

Software Developer

Course

The Hacker's Guide to Scaling Python

Learn about Python's scalability, concurrency, and distribution via CPU scaling, event loops, queue-based distribution, and building REST APIs to optimize and deploy high-performance applications.

9 h

advanced

Course

Applied Machine Learning: Deep Learning for Industry

Gain insights into industry-level machine learning by applying advanced TensorFlow and Python techniques. Explore efficient methods for creating scalable models, from data pipelines to deployment and inference.

3 h

advanced

Course

Feature Engineering for Machine Learning

30 m

advanced

Course

Hands-On Generative Adversarial Networks with PyTorch

In this GAN course, learn GAN fundamentals and PyTorch. Explore DCGANs, conditional GANs, image translations, and text-to-image synthesis to master advanced skills for real-world applications.

16 h

advanced

Course

Web Security and Access Management: JWT, OAuth2 & OpenId Connect

Gain insights into JWT, OAuth2, and OpenID Connect. Learn about HTTPS, encryption, and handshake techniques, and explore foundational concepts in web API security for enhanced application protection.

5 h

intermediate

Course

Web Application Security for the Everyday Software Engineer

Gain insights into enforcing web app security best practices, such as HTTPS, defending against XSS and clickjacking, managing HTTP cookies, and warding off DDoS attacks.

4 h

intermediate

Course

Building Full-Stack Web Applications with AdonisJs

Gain insights into AdonisJs fundamentals. Delve into routes, controllers, middleware, and hooks. Discover practical examples, illustrations, and quizzes to confidently build your full-stack applications.

intermediate

Course

The Hacker's Guide to Scaling Python

advanced

9 hour

Course

Applied Machine Learning: Deep Learning for Industry

advanced

3 hour

Course

Feature Engineering for Machine Learning

advanced