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Deploying Machine Learning Models

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Course Overview

This course covers the key concepts and practical steps of deploying machine learning models into production. You will learn how to deploy ML models using various tools and techniques to ensure smooth integration into real-world applications.

What you'll learn

Understand the machine learning deployment lifecycle

Prepare machine learning models for production

Use cloud platforms for deploying models

Deploy models using Docker and Kubernetes

Monitor and maintain deployed ML models

Course Content

  • Introduction to Model Deployment
  • Preparing Models for Production
  • Deploying Models with APIs
  • Using Docker for Model Deployment
  • Scaling and Managing Deployments with Kubernetes
  • Deploying on Cloud Platforms
  • Monitoring and Maintaining Deployed Models
  • Capstone Project: Deploying a Model to Production

Next Courses

GRPC with Go