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Key Features



Programming Languages,Tools & Packages

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MLOps Course Modules

  • Course Introduction
  • Data Scientists’ Pain Points
  • Machine Learning Lifecycle
  • MLOps Architecture and TensorFlow Extended Components
  • Introduction
  • Introduction to Containers
  • Containers and Container Images
  • Lab introduction
  • Getting Started With GCP And Qwiklabs
  • Lab: Working with Cloud Build
  • Lab solution
  • Introduction to Kubernetes
  • Introduction to Google Kubernetes Engine
  • Compute Options Detail
  • Kubernetes Concepts
  • The Kubernetes Control Plane
  • Google Kubernetes Engine Concepts
  • Compute Option Detail
  • kubernetes concepts
  • The kubernetes control plane
  • Google Kubernetes Engineer Concepts
  • Lab Introduction
  • Deployment
  • Service and scaling
  • Rolling Updates
  • Canary Deployment
  • Managing Deployment
  • Lab Intro/li>
  • Jobs and CornJobs
  • Parallel Jobs
  • Cron Jobs
  • Overview
  • Introduction to AI Platform
  • AI Platform Pipelines:Concepts
  • AI Platform Pipelines
  • AI Platform Pipelines:Ecosyster
  • Lab: Working with Cloud Build
  • Lab solution:AI Platform
  • Lab Solutions
  • System and concept Overview
  • Create a reproducible dataset
  • Implement a tunable model
  • Build and Push a training
  • Train and tune the model
  • Serve and query the model
  • Lab Intro:training,tuning
  • Lab Using Custom container
  • System and concept Overview
  • Describing a Kubeflow Pipelines
  • Prebuilt Components
  • Lightweight Python Components
  • Custom Components
  • Compile, Upload and Run
  • Lab Intro:Continuous Training
  • Lab Intro:continuous Pipelines
  • Concept Overview
  • Cloud Build Builders
  • Cloud Build Configuration
  • Cloud Build Triggers
  • Lab Intro:CI/CD
  • Lab:CI/CD for a KFP pipeline
  • Course Summary


Earn your MLOps certificate

Our Kubernetes program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a MLOps Certificate

The knowledge and MLOps skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

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