Technologies / Artificial Intelligence

Azure Machine Learning - from basics to advanced techniques

The training provides an in-depth understanding of the Azure Machine Learning platform, from fundamental concepts to advanced implementation techniques. The program combines the theoretical foundations of machine learning with hands-on use of Azure ML tools. Participants go through the full ML project lifecycle, from data preparation to model implementation, learning best practices and design patterns.

Issues

Azure ML architecture
Data processing
Machine learning algorithms
Automatic ML
ML pipelines
Implementing models
Monitoring and evaluation
MLOps
Performance optimization
Resource management
Security in ML
Best practices

This training is part of the path:

Machine Learning Engineer

Benefits

The participant will develop practical skills to use the Azure Machine Learning platform in AI/ML projects
He/she will gain in-depth knowledge of the process of creating and implementing machine learning models in the Azure environment
Will learn how to effectively manage resources and organize the workspace for ML projects
Will learn techniques to optimize performance and automate ML processes
Will develop the ability to implement MLOps best practices
Will gain the ability to independently run ML projects from concept to production deployment

Who is this training for?

Programmers getting started with machine learning

Data Scientists moving to Azure platform

ML/AI Engineers

Data analysts developing ML competencies

AI solution architects

DevOps Engineers to support ML projects

Data science specialists

Prerequisites

Basic knowledge of programming (Python)
Understanding the concept of machine learning
Basic knowledge of the Azure cloud
Experience in working with data

Training program

Configuration of the working environment
Management of computing resources

Data preparation and processing
Integration of data sources
Data processing techniques
Data preparation pipelines
Data quality monitoring
Model development and training
Selection of ML algorithms

Automatic ML

Model implementation and management
Containerization of models
Deployment to production

Version management

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 Azure Machine Learning - from basics to advanced techniques we recommend: Basic knowledge of programming (Python); Understanding the concept of machine learning; Basic knowledge of the Azure cloud.

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: Programmers getting started with machine learning; Data Scientists moving to Azure platform; ML/AI Engineers.

What practical skills will I gain from this training?

You will develop practical skills in using the Azure Machine Learning platform throughout the full ML project lifecycle, from data preparation and model training to deployment and monitoring. You will also learn to implement MLOps best practices and automate ML workflows.

Does this training cover MLOps and model deployment to production?

Yes, the training includes dedicated coverage of MLOps practices, model deployment strategies, and managing the model lifecycle in Azure. Participants learn to set up automated pipelines for training, evaluation, and deployment of machine learning models.

Do I receive a certificate after completing this training?

Yes, upon successful completion you receive an EITT certificate confirming your skills in Azure Machine Learning. The certificate is recognized by employers in the IT industry.