17 Jun 2021 Thursday

In this course we learn you how to embrace Azure DevOps for Data Analytics. This course highlights the principles of DevOps including what is CICD, what is infrastructure-as-code, what is git, what is a pull request, etc but also has hands-on exercises using git, Azure Pipelines, Infrastructure-as-code using ARM and use of DevOps within Azure Data Factory and Azure Databricks. This course is not focused on teaching agile of scrum methodology but rather to 'how to practically do it for BI & Anaytics using Azure DevOps'

After this course, you will know all basics on how to use Azure DevOps for your Azure BI or Analytics environment.

27 Sep 2021 Monday

In this fundamentals workshop we aim to share and show what a BI professional should know about building BI and Analytics platforms in the Azure Cloud. In this first day we go through the theory & fundamental concepts on Data & Analytics in Azure

18 Oct 2021 Monday

As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 1-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure at scale, MLOps principals to register and track ML models, how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.