Technologies / Artificial Intelligence

Fundamentals of machine learning with Scala and Apache Spark

The training introduces participants to the world of big data processing and machine learning using Scala and Apache Spark. The program focuses on the practical use of MLlib, Spark's machine learning library, to build scalable analytics solutions. The classes are conducted in the form of workshops, where participants work on real data sets, implementing a variety of ML algorithms.

Issues

Apache Spark architecture
Scala in the context of ML
Distributed computing
RDD and DataFrames
MLlib pipeline
Distributed algorithms
Feature engineering at Spark
Persistence model
Performance optimization
Model deployment
Monitoring and maintenance
Spark cluster management

Benefits

Upon completion of the training, the participant will be able to effectively use Apache Spark for machine learning tasks
The ability to implement scalable ML solutions in a distributed environment
To optimize data processing and model performance in the context of big data
Will be able to design and implement ML pipelines leveraging Scala and Spark capabilities
Will develop practical distributed computing skills for ML tasks
Will gain the ability to integrate ML solutions with existing big data infrastructure

Who is this training for?

Scala programmers looking to expand skills with ML

Data engineers working with Big Data

Apache Spark Specialists

Data analysts looking for scalable solutions

Big Data systems architects

Developers interested in distributed computing

Data scientists in need of big data tools

ML engineers looking for high-performance computing solutions

Prerequisites

Basic knowledge of object-oriented programming
Experience in working with relational databases
Basic knowledge of statistics
Knowledge of the basics of machine learning

Training program

Apache Spark architecture
MLlib and its capabilities
Distributed computing in ML

RDD and DataFrame operations
Transformations and actions
Preparation of data for ML

Implementation of algorithms
Classification models in MLlib
Regression algorithms
Clustering and dimensionality reduction

Implementing solutions

Performance tuning

Integration with infrastructure

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 Fundamentals of machine learning with Scala and Apache Spark training for?

This training is designed for professionals looking to develop skills in fundamentals of machine learning with scala and apache spark. Required level: beginner.

How long is the Fundamentals of machine learning with Scala and Apache Spark 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.