Udemy – Master Practical MLOps for Data Scientists & DevOps on AWS 2023-9 – Download

Explanation

Master Practical MLOps for Data Scientists & DevOps in AWS, is a practical training course for data scientists and DevOps engineers with AWS, published by Udemy Academy. Brush up on your MLOps knowledge Enhance your AI/ML (Artificial Intelligence and Machine Learning) knowledge on AWS with expert guidance. Power Your MLOps Journey: Unleashing AI/ML Knowledge on AWS with Expert Guidance – From Notebook to Production Operation

This comprehensive course is designed for individuals who aspire to advance in artificial intelligence and machine learning (AI/ML) development or data science roles, with a focus on Productivity Level thinking. In this course, you will develop your skills in designing, building, deploying, optimizing, training, optimizing, and maintaining ML solutions for real business challenges, leveraging the power of the AWS Cloud in conjunction with DevOps best practices for Machine Learning.

While you may already have a basic understanding of machine learning, it’s important to recognize that employers are looking for more than just the basics to run a local notebook.

What you will learn in the Master Practical MLOps for Data Scientists & DevOps on AWS:

Design a CI/CD Pipeline for Machine Learning Projects
Ability to track source code & training images, configuration files in Git-based repository – AWS CodeCommit
Ability to Build using AWS CodeBuild
Ability to deploy Application Server using AWS CodeDeploy
Configure MLOps steps using AWS CodePipeline
Identify the appropriate AWS services to implement ML solutions
Do a load test
Monitoring Endpoint Performance
Monitoring the Cycle Model
Ability to follow best practice examples
Ability to follow operational best practices
Ability to follow best operating practices

Who this course is suitable for:

Anyone preparing for Data Science, Machine Learning & Deep Learning Interviews
Anyone interested in learning how Machine Learning has been applied to large-scale data
Anyone interested in AWS cloud-based machine learning and data science
Anyone looking to learn best practices for deploying Machine Learning Models in the Cloud
Anyone looking to learn best practices for implementing Machine Learning Models