Data Science | AI | DataOps | Engineering
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training

Training

Instructor-Led Courses

The following courses are offered either on-site or remote.

applied Azure Databricks

Big Data processing is being democratised. Tools such as Azure Databricks, mean you do not need to be a Java expert to be a Big Data Engineer anymore. Databricks has made your life easier! While it is easier, there is still a lot to learn and knowing where to start can be quite daunting.

In this three to five day course, we look at how to use Databricks & Apache Spark for Data Analysis, Data Engineering and Data Science.

Machine learning in production

Deploying machine learning models is not just difficult, it is known as the toughest problem in Data Science. In this course we will take you though building your first machine learning model, assess the various options for deployment, then we will look at how to deploy it in to a production environment which scales with demand.

In this three day course we look at a variety of different approaches to managing Machine Learning in Production in the cloud.

applied Azure Synapse analytics

Azure Synapse Analytics (Previously Azure SQL Data Warehouse) is Microsoft’s Big Data engine. Azure Synapse is the evolution of Azure SQL Data Warehouse increasing the options for analytics with Spark, Data Pipelines, server-less compute, data integrations all delivered through the new Synapse Studio.

In this three day course we will go deep in to the engine and show you have to get the best performance from Azure flagship MPP system.

Scalable Machine Learning

The future of data is AI and Machine Learning. Yet most companies still face challenges when building machine learning models. This two-day course is for those intending to use Databricks to build machine learning models to solve real-world business use cases. You will learn how to build and tune ML models with SparkML while leveraging MLOps best practices.

In this two day course, we cover all the skills you need to get started on your machine learning journey, right from data preparation right through model training and inference.


If you would like to enquire about training then please complete the form below and we will get back to you.