Machine Learning Operations

PT27227
Summary
Machine Learning is all the rage today. Most ML courses focus on building models. However, taking the ML models to production involves quite a bit of extra work. This course will teach Machine Learning Engineering – the process of productionizing, monitoring, and managing ML models.
Prerequisites
Students for this course should possess the following:
  • Basic knowledge of Machine Learning or Deep Learning
  • Python basic programming recommended
Duration
3 Days/Lecture & Lab
Audience
This course is intended for Data Scientists, DevOps, and Data Engineers.
Topics
  • Machine Learning Engineering Overview
  • Cloud Storage
  • Cloud Compute
  • Training in the cloud with GPUs
  • Creating a Model Service
  • Containerizing the app
  • Deploying the Container in the Cloud
Monitoring
  • Load-testing the application
  • A/B Testing of Models
  • Updating your model
  • Final Workshop (Time Permitting)

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