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Instructor-led training
Spark NLP and Data Pipelines in London:

Scaling Data Pipelines with Spark NLP

Build scalable Spark pipelines for text processing, feature engineering and production NLP workloads. More than 100 students register every day

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Price:
Price on request

Contact us for current fees, dates and exam arrangements.

Professional

Comfortable Python programming

5 days to complete
Available online
& in class

Select your preferred method

Course dates
Introduction

This practical course shows how Apache Spark supports distributed data preparation and natural language processing.

You will clean text, construct reusable transformations, tune distributed workloads and evaluate NLP results.

The final modules focus on packaging, monitoring and operating pipelines reliably in production.

Flexible Ways to Learn

Study your way with flexible learning options designed to fit around your schedule.

Small Groups

With small groups of students, our instructors can work closely with each student

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend or evening to suit your schedule.

Experienced Instructors

Our instructors follow a modified and personalised approach to engage students during class

Hi-Tech lab Facilities

Lab arrangements vary by course. Confirm access and equipment requirements before booking.

What you’ll gain

Process large text datasets efficiently

Build maintainable NLP pipelines

Diagnose Spark performance bottlenecks

Move prototypes toward production

Develop skills for your next step
Relevant career pathways
Data Engineer:

build and optimise distributed pipelines.

Machine Learning Engineer: operationalise training and inference pipelines.

NLP Engineer:

prepare text features and language workflows.

Analytics Platform Engineer: maintain shared compute and data tooling.

Syllabus

Spark Foundations

Architecture, DataFrames and lazy evaluation

Cleaning, tokenisation and feature extraction

Pipeline stages, evaluation and custom transformers

Partitioning, caching, deployment and observability

FAQs

Who is the Scaling Data Pipelines with Spark NLP course for?

It is designed for learners who want practical Apache Spark skills and a structured certification pathway.

The intensive course runs for 5 days, with flexible arrangements available for teams.

Yes. Live online and classroom delivery are available.

Please ask our advisers to confirm the current package and exam voucher options.

Need help choosing the right course?

Talk to one of our advisers about dates, delivery options and certification routes. We’ll call you back within 1 working day.

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