Databricks Training Courses in the UK

Databricks Training • Updated Aug 2026


Develop the skills to build, manage and optimise modern data and AI solutions 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.

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Welcome to the Databricks course group.

This group contains JBI Training's Databricks courses, providing practical training in modern data engineering, analytics, and machine learning using the Databricks platform.

Courses in this group cover Apache Spark, Delta Lake, Lakehouse architecture, notebooks, data engineering, ETL, data analytics, machine learning, performance optimisation, and Databricks on Azure, AWS, and Google Cloud.

Browse the courses in this group to find the training that best matches your experience level and learning goals.

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. If you are new to Databricks, start with a course covering the Databricks platform and Lakehouse architecture. If you work with big data, choose a data engineering or Apache Spark course. If you are building machine learning solutions, a Databricks machine learning course is the best fit. For analytics solutions on Azure, consider Azure Databricks data analytics training.
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.
Yes. Private Databricks training can help technical teams develop skills in data engineering, analytics, machine learning, and modern data platforms. 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, allowing 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. Training can be tailored 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.

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