Burlington, VT – Regus at Williston

300 Interstate Corporate Center, Suite 200, Burlington, United States, 05495

The venue is located in suburban Williston’s Interstate Corporate Center, accessible by car via US 2 or I‑89 with free on-site parking available. From Burlington International Airport (BTV), only about 5 miles away, taxis or rideshares take approximately 10 minutes via Williston Road. Public transit is served by Green Mountain Transit Route 2A, with a stop right outside the corporate center, offering convenient access for attendees traveling without a car.

Montpelier, VT – Local 64

43 State Street, 2ndFloor, Montpelier, United States, 05602

The venue is located at 43 State Street, on the second floor west side, right in downtown Montpelier near the Vermont State House. Easily reached by car via I‑89 or US 2, there is nearby metered street parking and municipal lots. From Burlington International Airport (BTV), about 36 miles northwest, taxis or rideshares typically take around 45 minutes south via I‑89. Public transit is available via Green Mountain Transit buses stopping on State or Main Street, placing the center within a short walk for those arriving without a car.

Winooski, VT – MyCube at Champlain Mill

20 Winooski Falls Wy, Suite 302, Winooski, United States, 05404

The venue is located in the historic Champlain Mill on Winooski Falls Way, perched above scenic Winooski Falls, easily accessed by car via I‑89 or US 2, with free on-site parking available. From Burlington International Airport (BTV), around 3 miles east, taxis or rideshares take about 10–15 minutes via Williston Road. Public transit is facilitated by Green Mountain Transit routes 2 and 4, which stop nearby on Riverside Avenue and Church Street—only a short walk to the site.

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

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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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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.

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This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark

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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

Upcoming Courses

Apache Spark MLlib

2025-08-18 9:30 am
35 hours
Winooski, VT – MyCube at Champlain Mill
$ 6757 (Online)
$ 6757 (Classroom)

Apache Spark MLlib

2025-09-01 9:30 am
35 hours
Winooski, VT – MyCube at Champlain Mill
$ 6757 (Online)
$ 6757 (Classroom)

Apache Spark MLlib

2025-09-15 9:30 am
35 hours
Winooski, VT – MyCube at Champlain Mill
$ 6757 (Online)
$ 6757 (Classroom)

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

2025-09-29 9:30 am
21 hours
Winooski, VT – MyCube at Champlain Mill
$ 4054 (Online)
$ 4054 (Classroom)

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