Online or onsite, instructor-led live Spark NLP training courses demonstrate through interactive hands-on practice how to use Spark NLP, built on top of Apache Spark, to develop, implement, and scale natural language text processing models and pipelines.
Spark NLP training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Spark NLP training can be carried out locally on customer premises in Lausanne or in NobleProg corporate training centers in Lausanne.
NobleProg -- Your Local Training Provider
Lausanne
Rue du Port-Franc 22, Lausanne, Switzerland, 1003
Overview
Our training facilities are located at Rue du Port-Franc 22 in Lausanne. Located on th...
Overview
Our training facilities are located at Rue du Port-Franc 22 in Lausanne. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Lausanne.
Directions
The NobleProg training facilities are located in the heart of downtown Lausanne, the centre of this vibrant city.
Parking
Cars can be parked in the area along Rue du Port-Franc and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rue du Port-Franc there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
This instructor-led, live training in Lausanne (online or onsite) is aimed at data scientists and developers who wish to use Spark NLP, built on top of Apache Spark, to develop, implement, and scale natural language text processing models and pipelines.
By the end of this training, participants will be able to:
Set up the necessary development environment to start building NLP pipelines with Spark NLP.
Understand the features, architecture, and benefits of using Spark NLP.
Use the pre-trained models available in Spark NLP to implement text processing.
Learn how to build, train, and scale Spark NLP models for production-grade projects.
Apply classification, inference, and sentiment analysis on real-world use cases (clinical data, customer behavior insights, etc.).
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