Spark NLP Pipelines Training in UK

This training provides a practical and project-based introduction to Spark NLP, a production-grade natural language processing library built on Apache Spark. Participants will learn how to use Spark NLP pipelines for preprocessing, named entity recognition (NER), sentiment analysis, and custom model development. The course emphasizes hands-on learning and scalable NLP solutions.

Welcome to the official Spark NLP Pipelines Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in UK. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic Python or Scala knowledge (Python will be used)
• Familiarity with Apache Spark concepts (DataFrames, SparkSession)
• Basic understanding of NLP concepts is helpful but not required
• Spark environment set up (local or cloud – e.g., Databricks or Colab)

• Understanding of Spark NLP pipeline structure and design
• Ability to use pre-trained models for NLP tasks
• Experience building custom NLP pipelines
• Training and evaluating NER and classification models
• Applying NLP to large-scale datasets in distributed environments

By the end of this course, learners will be able to:

• Build and execute NLP pipelines using Spark NLP
• Use pre-trained and trainable annotators in various workflows
• Process and analyze large-scale text data
• Train custom NLP models for named entity recognition and classification
• Integrate Spark NLP into production data and ML pipelines