Technologies / Artificial Intelligence

MLOps for Azure Machine Learning - automation and management

The training focuses on the practical aspects of implementing MLOps practices in projects using Azure Machine Learning. The program covers ML process automation, model lifecycle management and integration with DevOps tools. Participants learn to design and implement scalable MLOps solutions to ensure repeatable and reliable ML processes.

Issues

MLOps practices
ML automation
CI/CD Pipelines
Version management
Monitoring of models
ML infrastructure
Cost optimization
MLOps security
Scalability of solutions
Management of environments
DevOps best practices
Tracking experiments

Benefits

The participant will develop advanced skills in implementing MLOps practices in an Azure Machine Learning environment
Will gain a working knowledge of ML process automation and integration with DevOps tools
Will learn to design and implement scalable solutions to ensure repeatable ML processes
Will develop the ability to effectively manage the lifecycle of machine learning models
Will learn techniques for cost optimization and resource management in ML projects
Will gain the ability to build reliable and secure ML pipelines

Who is this training for?

DevOps Engineers working on ML projects

Data Scientists interested in ML automation

ML Engineers responsible for implementations

AI/ML solution architects

ML platform engineers

ML process automation specialists

Team Leaders of ML teams

Prerequisites

Experience with Azure Machine Learning
Knowledge of the basics of DevOps
Practical knowledge of machine learning
Python programming basics

Training program

Integration with Azure DevOps
Management of environments

ML pipeline automation

Continuous Training (CT)
Continuous Deployment (CD)
Monitoring and alerts

Versioning of models and data

Tracking experiments
Validation of models
Infrastructure and scalability
Resource management

Safety and compliance
Scalability of solutions

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For MLOps for Azure Machine Learning - automation and management we recommend: Experience with Azure Machine Learning; Knowledge of the basics of DevOps; Practical knowledge of machine learning.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: DevOps Engineers working on ML projects; Data Scientists interested in ML automation; ML Engineers responsible for implementations.