.png?width=653&height=552&name=Copy%20of%20Untitled%20Design%20(56).png)
.png)
Classroom Training
In the fast-paced landscape of tech, learning new skills is all part of the development process for both individuals and your organisation as a whole. But not all training is equal. Being taught by the best people will always give you the highest chance of ongoing success.
All our training is delivered by experts who work with the technologies to an advanced level on a daily basis. As recognised leaders in data and AI, you will regularly see our instructors presenting at conferences and delivering keynote speeches.
Applied Azure Databricks (3-5 days)
With Azure Databricks, you don't need to be a Java expert to excel as a Big Data Engineer. While it simplifies your work, there's still much to learn, and knowing where to begin can be challenging.
Our course is designed to take data professionals from Zero to Hero, focusing on practical applications of Databricks and Apache Spark for Data Analysis, Engineering, and Science. Unlike other courses that teach theory, ours is rooted in solving real-world problems.
Applied Azure Synapse Analytics (3 days)
Azure Synapse Analytics is Microsoft’s Big Data engine, evolving from Azure SQL Data Warehouse to offer enhanced analytics with Spark, Data Pipelines, server-less compute, and data integrations in Synapse Studio. This course teaches you how to maximise the Azure MPP system.
Leveraging our consultancy experience and close ties with Microsoft, we deliver the most up-to-date Data Lakehouse training. You'll learn what works, what doesn’t, and how to build a Modern Data Lakehouse through hands-on labs, leaving with a solution ready for use.
Fabric Foundations (2 Days)
Fabric is Microsoft’s unified SaaS data platform. Our 2-day Fabric Foundations course offers hands-on experience, helping you navigate the complexities of this AI-powered tool by focusing on the 'why,' 'when,' and 'when not' to use it.
Led by industry veterans with extensive expertise in Microsoft Fabric, our instructors provide real-world insights and practical solutions that add significant value to your learning experience.
We also offer a Fabric Advanced course (1 day) for those who are familiar to Fabric but want to get more out of it, as well as a Fabric for Data Engineers course (1 day) to delve into role-specific features.
Machine Learning in Production (3 days)
Deploying machine learning models is one of Data Science's toughest challenges. In this course, you'll build your first ML model and learn how to deploy it in a scalable production environment.
We also cover various approaches to managing ML in the cloud, equipping you with all the skills needed to successfully deploy a model into production.
Scalable Machine Learning (2 days)
AI and Machine Learning are the future of data, but many companies struggle with building ML models due to growing datasets, complex computations, and siloed teams. Databricks offers a unified platform for collaboration, using Apache Spark for distributed computing.
In this course, you'll learn to build ML models with Databricks to solve real-world problems, and you'll master scaling and tuning models with SparkML while applying MLOps best practices.
