This is a Repository for MLOps Course with AWS

A Course by Manifold AI Learning to help the practitioners to Master MLOps tasks with AWS - this is hands-on course!

Course link -

Our other best courses:

Python for MLOps DevOps AIOps -

Created by the Top Instructor of Manifold AI Learning - Nachiketh Murthy (https://www.linkedin.com/in/nachiketh-murthy/)

Thank you for all your support. Happy Learning!!!

Name		Name	Last commit message	Last commit date
Latest commit History 84 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Section-10-CodePipeline		Section-10-CodePipeline
Section-11-Docker		Section-11-Docker
Section-12-Intro-to-Sagemaker		Section-12-Intro-to-Sagemaker
Section-13-Feature-Engineering		Section-13-Feature-Engineering
Section-13.1-Feature-Store		Section-13.1-Feature-Store
Section-14-Train-tune-deploy		Section-14-Train-tune-deploy
Section-15-Custom-models		Section-15-Custom-models
Section-15.1-CloudFormation		Section-15.1-CloudFormation
Section-15.2-StepFunctions		Section-15.2-StepFunctions
Section-15.3-Sagemaker-mlops		Section-15.3-Sagemaker-mlops
Section-16-mlops-pipeline		Section-16-mlops-pipeline
Section-4-Getting-Started-with-AWS		Section-4-Getting-Started-with-AWS
Section-5-Linux-Basics		Section-5-Linux-Basics
Section-6-CodeCommit		Section-6-CodeCommit
Section-6.1-Github		Section-6.1-Github
Section-7-YAML-tutorial		Section-7-YAML-tutorial
Section-8-CodeBuild		Section-8-CodeBuild
Section-9-CodeDeploy		Section-9-CodeDeploy
.DS_Store		.DS_Store
.gitignore		.gitignore
README.md		README.md

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