Databricks training courses in the UK

 

Practical training in modern data engineering, analytics, and machine learning using the Databricks platform.
 

Live, instructor-led, hands-on courses for corporate developers, engineers and analysts - delivered virtually or face to face in London and across the UK.

Databricks Training • Updated Aug 2026


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Learning Outcomes - What You Will Learn
Core skills and competencies gained across our Databricks training programmes.

 

✓ Understand Databricks platform fundamentals and Lakehouse architecture

✓ Build and manage data pipelines using Apache Spark and Delta Lake

✓ Work with Spark SQL, DataFrames, and distributed data processing

✓ Develop ETL pipelines for large-scale data engineering workloads

✓ Train and deploy machine learning models using Azure Databricks

✓ Build data analytics solutions on Azure Databricks

✓ Apply performance optimisation techniques for Spark and Databricks workloads

✓ Prepare for Databricks and Apache Spark certification with practical, hands-on skills

 

Databricks Training for Every Role

Courses matched to your background and what you need to build.

🧑‍💻Software Developers

Build production-ready data engineering pipelines with Apache Spark, and develop skills that support Databricks Certified Associate Developer certification.

🏗️Solutions Architects

Design Lakehouse architectures and data platform strategies using Databricks on Azure, and define patterns for data engineering, analytics, and ML workloads at scale.

📊Data Scientists & ML Engineers

Train and deploy machine learning models on Azure Databricks, and build analytics solutions using Spark, Delta Lake, and notebooks.

🏢Data Analysts & BI Professionals

Build data analytics solutions with Azure Databricks, working with large-scale datasets beyond the limits of traditional BI tools.

🔒Data Engineers

Develop ETL pipelines, manage distributed data processing, and apply performance optimisation techniques across Databricks environments.

👔Technical Leaders

Understand how Databricks and the Lakehouse architecture fit into your organisation's data strategy, and evaluate its role alongside existing analytics and ML platforms.

Whether you're beginning your Databricks journey or looking to advance your technical expertise, this course group provides a complete learning pathway to help you build practical Databricks applications for your organisation.

What Delegates Say - Testimonials

★★★★★ "Excellent hands-on coverage of Delta Lake and the Lakehouse architecture. We left with a clear plan for restructuring our data platform."

Data EngineerEnergy Sector, London

★★★★★ "The Apache Spark course was exactly the preparation I needed ahead of certification. Practical, well-structured, and thorough."

Data EngineerTechnology Sector, London

★★★★★ "Strong grounding in building ML models on Azure Databricks. Directly applicable to the project we came in wanting to solve."

ML EngineerFinancial Services, Manchester

 

Training Delivery Options

 

🖥️  Online Live Training

Instructor-led interactive sessions delivered remotely. Same hands-on labs, same expert trainer — no travel required.

📍London Classroom

Attend scheduled public courses at our London training centre. Network with peers from across the industry.

🏢Onsite at Your Premises

We come to you. Ideal for teams of 5+. Content can be customised to your stack, use cases, and objectives.

🎯Bespoke Corporate Programmes

Multi-module Databricks programmes designed around your organisation's cloud environment, data architecture, and business use cases.

Our Databricks training portfolio includes courses covering Azure Databricks, Apache Spark development, data engineering, data analytics, and machine learning. Courses range from platform fundamentals through to advanced Spark development and are suitable for both individual professionals and corporate teams.
The best course depends on your role and objectives: New to Databricks? Start with a course covering the Databricks platform and Lakehouse architecture. Working with big data? Choose a data engineering or Apache Spark course. Building machine learning solutions? A Databricks machine learning course is the best fit. Creating analytics solutions on Azure? Consider Azure Databricks data analytics training. Preparing for Databricks certification? Courses covering Apache Spark and Databricks development provide practical skills that support certification preparation.
Databricks courses are designed for data engineers, data scientists, data analysts, BI professionals, software developers, solution architects, and technical teams working with large-scale data processing, analytics, AI, and machine learning.
It depends on the course. Introductory courses assume little or no previous experience with Databricks, while advanced Spark development courses are intended for professionals who already have programming experience and want to develop production-ready data engineering skills.
Depending on the course, topics may include Azure Databricks, Apache Spark, Spark SQL, DataFrames, Delta Lake, machine learning, data engineering, ETL pipelines, distributed data processing, and Lakehouse architecture. Individual courses focus on different technologies and skill levels.
Yes. Many organisations choose private Databricks training to help technical teams develop skills in data engineering, analytics, machine learning, and modern data platforms. Corporate courses can be tailored to your technology stack, cloud platform, and business requirements.
Yes. The courses combine instructor-led teaching with practical labs and exercises that allow participants to work with Databricks, Apache Spark, and real-world data processing scenarios. The emphasis is on developing skills that can be applied in production environments.
Yes. Private Databricks courses can be customised to reflect your team's experience, cloud environment, data architecture, and business use cases. Organisations often tailor the training around Azure Databricks deployments, data engineering pipelines, or machine learning projects.
Databricks is designed for large-scale data engineering, analytics, and AI workloads using a unified Lakehouse architecture. Unlike traditional BI platforms that focus primarily on reporting, Databricks supports data preparation, engineering, machine learning, streaming, and advanced analytics within a single platform.
Databricks training is available as instructor-led classroom training in London, live online courses, and private onsite training for organisations. Public scheduled courses and customised corporate training are available depending on your learning requirements.

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