Description:

This course covers the entire process of setting up an efficient MLOps pipeline on Google Cloud Platform (GCP), from data preparation to deployment. You will learn how to streamline your machine learning workflow, automate model training and deployment processes, and leverage Google Cloud's robust infrastructure for scalable and reliable machine learning deployments.

Key Highlights:

• End-to-end MLOps pipeline setup
• Deployment on Google Cloud Platform (GCP)
• Automation of machine learning workflows

What you will learn:

• Design and Implement MLOps Pipeline
  Learn how to design and implement a scalable and efficient MLOps pipeline for your machine learning projects.
• Automate Model Training and Deployment
  Discover techniques to automate the training and deployment of machine learning models, reducing manual intervention.
• Utilize Google Cloud Platform for Deployment
  Harness the power of Google Cloud Platform for deploying and managing machine learning models with ease and efficiency.