Pragmatic AI Labs

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Pragmatic AI Labs creates content and training for the top educational brands in the world, including O’Reilly, Udacity, Coursera, DataCamp, Skillsoft, and Pearson.

We have worked and taught at leading universities globally, including Duke, Northwestern, UC Davis, UC Berkeley, University of Tennessee and the University of North Carolina. We have consulted, trained, and worked with organizations like NASA, PayPal, Microsoft, AWS and Github.

Our mission is to educate the world by training millions on vocational skills that directly lead to jobs or upskilling. All books and courses are available via Creative Commons Attribution-NonCommercial license. These books and classes can be taught at the vocational level through advanced graduate work at top universities.

Latest Content #

LLMOps Specialization (Specialization: 6 Courses) #
Publisher: Coursera + Duke #
Release Date: 2/1/2024 #
Rust Programming Specialization (Specialization: 5 Courses) #
Publisher: Coursera + Duke #
Release Date: 1/1/2024 #
Applied Python Data Engineering Specialization (Specialization: 3 Courses) #
Publisher: Coursera + Duke #
Release Date: 1/1/2024 #
MLOps (Specialization: 4 Courses) #
Publisher: Coursera + Duke #
Release Date: 1/1/2023 #
Foundations of Data Engineering (Specialization: 4 Courses) #
Publisher: Coursera + Duke #
Release Date: 4/1/2022 #

Cloud Computing (Specialization: 4 Courses) #

Publisher: Coursera + Duke #

Release Date: 4/1/2021 #

Building Cloud Computing Solutions at Scale Specialization Launch Your Career in Cloud Computing. Master strategies and tools to become proficient in developing data science and machine learning (MLOps) solutions in the Cloud

What You Will Learn #

  • Build websites involving serverless technology and virtual machines, using the best practices of DevOps
  • Apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions
  • Create Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: AWS, Azure or GCP

Courses in Specialization #

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