Spark NLP Pipelines Training in Muscat

Spark NLP Pipelines Training in Muscat, Oman

This training provides a practical and project-based introduction to Spark NLP, a production-grade natural language processing library built on Apache Spark.

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Spark NLP Pipelines Training is a professional training program delivered by ProgNXT in Muscat, Oman. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Spark NLP Pipelines Training course with hands-on, instructor-led sessions. This training provides a practical and project-based introduction to Spark NLP, a production-grade natural language processing...

Expert Panel

Designed and delivered by the ProgNXT Big Data Expert Panel — a vetted team of industry professionals with 14+ years of hands-on experience in Hadoop, Apache Spark, Kafka, and distributed data processing

ProgNXT Big Data Expert Panel

Course Code: YKW26
14 Hrs
Last Updated: April 2026

Course Rating5/5

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 in Muscat, Oman. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. 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)

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

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

NLP pipeline components and structure
Tokenization, lemmatization, and POS tagging with Spark NLP
Named Entity Recognition (NER) using pre-trained and custom models
Text classification using Spark NLP
Building and deploying custom NLP pipelines

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Introduction to Spark NLP and Pretrained Pipelines

Introduction to Spark NLP

What is Spark NLP and why it’s used
Spark NLP vs other NLP libraries (SpaCy, NLTK, etc.)
Real-world applications and industry use cases
Setting up Spark NLP (local, Colab, or Databricks)

Spark NLP Pipeline Architecture

Understanding Spark NLP pipelines and annotators
Key components: DocumentAssembler, Tokenizer, Normalizer, Lemmatizer
Creating and chaining annotators in a pipeline
Execution of pipelines using Spark DataFrames

Using Pretrained Pipelines and Models

Introduction to pre-trained pipelines
Named Entity Recognition (NER) with pre-trained models
POS tagging, dependency parsing, and sentiment analysis
Running pipelines on structured and unstructured text

Practical Exercises with Pretrained Pipelines

Load and apply pipelines on sample datasets
Extract entities, sentiment, and key phrases
Save and load trained pipelines
Output visualization and result interpretation

Custom Pipelines, Model Training, and Real-World Exercises

Trainable Annotators and Custom Pipelines

Overview of trainable vs non-trainable annotators
Building a pipeline from scratch
Adding embeddings: WordEmbeddings, BERTEmbeddings
Using multi-language support in pipelines

Training Custom NER Models

Preparing data for NER model training
Using NerDLApproach for deep learning-based NER
Configuring training parameters
Evaluating the custom model (precision, recall, F1-score)
Saving and reusing custom models

Text Classification with Spark NLP

Training a multi-class or binary classifier
Using ClassifierDLApproach
Input formats and labeling strategies
Evaluating and exporting the classifier model

Real-World Exercises and Deployment

Wrap-up and next steps (resources, career paths, certification)

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Spark NLP Pipelines Training Events in oman

Online Events

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More Upcoming Session Dates

November 2026

🌐 Online Instructor-Led

1st Nov 2026→2nd Nov 2026

📍 Muscat, Oman

9th Nov 2026→10th Nov 2026

🌐 Online Instructor-Led

20th Nov 2026→21st Nov 2026

📍 Muscat, Oman

26th Nov 2026→27th Nov 2026

December 2026

📍 Muscat, Oman

6th Dec 2026→7th Dec 2026

🌐 Online Instructor-Led

10th Dec 2026→11th Dec 2026

📍 Muscat, Oman

20th Dec 2026→21st Dec 2026

🌐 Online Instructor-Led

21st Dec 2026→22nd Dec 2026

Events for other courses in Muscat, Oman

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Spark NLP Pipelines Training in Muscat