Machine Learning in Production Course

This course introduces concepts, tools, and best practices for building and deploying cloud native machine learning applications. The course is project based and students will learn these concepts through building real-world production ready applications.

TensorFlow
Docker
Jenkins
XGBoost
Plumber
Flask
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Syllabus

  • AWS

  • GIT

  • Continuous Integration and Continuous Deployment (CI/CD)

Instructor

Pre-Requisites

Machine Learning

Fees* 

$2699

*Fees listed do not include HST. Final fee will include HST.

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