Description
MLOps with AWS Bootcamp: Zero to Hero Series 2024
Welcome to the MLOps AWS Bootcamp 2024—a comprehensive, hands-on program designed to take you from beginner to expert in MLOps using AWS tools and services. In this bootcamp, you will learn how to implement, automate, and scale machine learning models on AWS, preparing you for real-world MLOps challenges with one of the most powerful cloud platforms in the industry.
Course Overview
This bootcamp provides a structured, practical journey into MLOps with AWS. Through step-by-step guidance and interactive labs, you’ll explore essential AWS services like SageMaker, Lambda, and CloudFormation while implementing machine learning (ML) pipelines. From model deployment to monitoring and continuous improvement, this course ensures that you gain practical MLOps skills and learn best practices for ML infrastructure on AWS.
What You’ll Learn
- Introduction to MLOps concepts and the AWS MLOps framework
- How to use Amazon SageMaker for model training, deployment, and monitoring
- Creating end-to-end ML pipelines using AWS CodePipeline, CodeBuild, and CloudFormation
- Automation with AWS Lambda for event-driven model operations
- Monitoring and maintaining ML models in production using CloudWatch and SageMaker Model Monitor
- Implementing CI/CD workflows to automate model updates and deployments
Requirements
This bootcamp is designed for data scientists, ML engineers, and DevOps professionals who are familiar with basic AWS services and have a foundational understanding of machine learning concepts. Some experience with Python programming is recommended.
Course Description
The MLOps AWS Bootcamp 2024 offers a practical, end-to-end learning experience on AWS. You will start with the fundamentals of MLOps and progressively move to complex, production-ready ML solutions. Throughout the course, you’ll work with real-world examples and scenarios, gaining the skills needed to scale machine learning systems reliably and efficiently. By the end, you will be equipped with the expertise to deploy, monitor, and maintain ML models in a production environment.
About the Instructor
John Doe is a cloud architect and MLOps expert with over 10 years of experience in implementing scalable machine learning solutions on AWS. Known for his engaging teaching style, John helps students bridge the gap between data science and DevOps, ensuring they are industry-ready upon completing the bootcamp.
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