Łódź

Boutique Hotel's, Piłsudskiego 10/14, Łódź, Poland, 90-051

The training room is located 3 kilometers from the city center.

Explore Our Courses

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

 21 Hours
This course is intended for developers and data scientists who want to understand and implement artificial intelligence in their applications. Special focus is placed on data analytics, distributed AI, and natural language processing.
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Apache Spark MLlib

 35 Hours
MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs. It divides into two packages:
  • spark.mllib contains the original API built on top of RDDs.
  • spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.
Audience This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark
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Testimonials (2)

A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution

Rafal - Nordea

Course - Apache Spark MLlib

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn

Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

Provisional Courses

Apache Spark MLlib

2025-06-30 09:00
35 hours
Łódź
6450 PLN (Online)
6700 PLN (Classroom)

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

2025-07-09 09:00
21 hours
Łódź
3870 PLN (Online)
4020 PLN (Classroom)

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

2025-07-23 09:00
21 hours
Łódź
3870 PLN (Online)
4020 PLN (Classroom)

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Apache Spark MLlib Consulting
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