MLOps Engineering on AWS

The MLOps Engineering on AWS course is designed for learners aiming to apply the DevOps philosophy to the development, training, and deployment of machine learning solutions on the AWS cloud. The course covers essential topics such as workflow automation, ML model implementation strategies, and data drift concepts, equipping participants with the skills needed to effectively manage machine learning projects in a cloud environment.

Course Details

Price:

$2,025.00

Days:

Location:

Virtual

Course Overview

– • Describe Machine Learning Operations
– • Understand the key differences between DevOps and MLOps
– • Describe the machine learning workflow
– • Discuss the importance of communications in MLOps
– • Explain end-to-end options for automation of ML workflows
– • List key Amazon SageMaker features for MLOps automation
– • Build an automated ML process that builds, trains, tests, and deploys models
– • Build an automated ML process that retrains the model based on change(s) to the model code
– • Maximize confidence in the ML release process
– • Identify potential security threats in ML and explain basic mitigation approaches
– • Describe why monitoring is important
– • Detect data drifts in the underlying input data
– • Demonstrate how to monitor ML models for bias
– • Explain how to monitor model resource consumption and latency
– • Discuss how to integrate human-in-the-loop reviews of model results in production

• AWS Technical Essentials
• Practical Data Science with Amazon SageMaker
• DevOps Engineering on AWS

• MLOps Development
• MLOps Development
• MLOps Development
• MLOps Development
• MLOps Deployment
• MLOps Deployment
• MLOps Deployment
• MLOps Deployment
• Introduction
• Introduction
• Introduction
• Introduction
• Introduction to MLOps
• Introduction to MLOps
• Introduction to MLOps
• Introduction to MLOps
• Model Monitoring and Operations
• Model Monitoring and Operations
• Model Monitoring and Operations
• Model Monitoring and Operations
• Wrap-up
• Wrap-up
• Wrap-up
• Wrap-up

Class Dates & Times


7/22/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $2,025.00
10/21/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $2,025.00

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