Databricks training courses
London UK & Live Online

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.