Technologies / Artificial Intelligence

Practical machine learning - from theory to implementation

The training provides a hands-on approach to machine learning, guiding participants through the entire process from theory to production implementation. The program combines theoretical foundations with intensive hands-on workshops where participants work on real projects. Special emphasis is placed on best practices and methodologies used in production implementations of machine learning systems.

Issues

Machine learning processes
Data preparation
Feature engineering
Model selection
Cross-validation
Optimization of hyperparameters
Production deployments
Monitoring of models
Version management
Project documentation
Testing ML systems
Update models

Benefits

Upon completion of the training, the participant will be able to independently carry out a machine learning project from concept to implementation
Practical skills in data preparation and ML model implementation
To select appropriate algorithms and metrics for specific use cases
Will develop the ability to optimize and tune machine learning models
Will be able to prepare the model for production deployment according to industry best practices
Will gain the knowledge to effectively monitor and maintain ML systems in a production environment

Who is this training for?

Programmers who want to specialize in ML

Data engineers getting started with ML

Data analysts expanding competencies

IT professionals interested in ML implementations

Architects of artificial intelligence solutions

Application developers with ML elements

Prerequisites

Basic knowledge of programming
Understanding the basics of statistics
Knowledge of data analysis
Fundamentals of linear algebra

Training program

Data preparation and analysis
Selection and evaluation of models
Performance metrics
Implementation of models

Feature engineering
Training and validation
Parameter optimization
Implementation process
Preparation of the production environment

Performance monitoring

Project documentation

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

Who is the Practical machine learning - from theory to implementation training for?

This training is designed for professionals looking to develop skills in practical machine learning - from theory to implementation. Required level: intermediate.

How long is the Practical machine learning - from theory to implementation training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.