DSS - Data Science & Strategie

AI Factory

Many organizations have started experimenting with AI, but few have truly industrialized it. AI often begins as isolated proof-of-concept (POC) projects—small, disconnected, and ultimately unsustainable. To achieve real, scalable business value, AI initiatives must evolve into a structured, operational AI Factory.

Experienced Cloud Infra Engineer

We are looking for an experienced Azure Cloud Engineer to join our growing Microsoft Azure team. In this role, you'll architect, implement, and manage landing zones and Modern Data Platform Spokes on the Microsoft Azure platform. You'll be responsible for designing resilient, scalable, and secure cloud infrastructures that address our clients' complex business challenges. Working with us will allow you to implement your knowledge and network in the cloud computing space, surrounded by talented professionals who are leaders in Azure architecture and implementation.

Generative AI

In this 1-day workshop, you'll gain the fundamental knowledge to kickstart your journey in understanding, building and using your own Generative AI applications. The focus of this training will be on creating text-based applications (using LLMs) but we’ll be touching on other applications of generative AI as well (image, code, …). You'll learn how you can build your own generative AI applications, what the difference is between fine-tuning, retraining, prompt engineering, … Finally, at the end of the day, you should have gained all capabilities to build your own chatbot using Azure OpenAI.

Generative AI

In this 1-day workshop, you'll gain the fundamental knowledge to kickstart your journey in understanding, building and using your own Generative AI applications. The focus of this training will be on creating text-based applications (using LLMs) but we’ll be touching on other applications of generative AI as well (image, code, …). You'll learn how you can build your own generative AI applications, what the difference is between fine-tuning, retraining, prompt engineering, … Finally, at the end of the day, you should have gained all capabilities to build your own chatbot using Azure OpenAI.

Machine Learning on Azure

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 2-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure and Databricks 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.

Machine Learning on Azure

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 2-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure and Databricks 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.

Data Science training for BI Analysts

It is important for business analysts and programmers to understand advanced analytics and the value it can bring to organizations. Our 2-day introductory course in Data Science explains all the concepts and processes that lead to successful projects and gives practical examples of machine learning.

Data Science training for BI Analysts

It is important for business analysts and programmers to understand advanced analytics and the value it can bring to organizations. Our 2-day introductory course in Data Science explains all the concepts and processes that lead to successful projects and gives practical examples of machine learning.

Data Lakehouse development with Databricks

This training program is designed to provide participants with the knowledge and skills required for data lakehousing with Databricks on Azure. The program promises to cover a wide range of topics and is set to equip participants with the practical skills needed to excel in their field. We will review Business Intelligence and Data Warehouse principles and how they are best supported in the Cloud. The focus is on the detailed use of Databricks for data lakehousing but similarly recaps the other relevant BI Azure resources such as Azure Data Factory, Azure Data Lake Storage gen2, Key Vault & Power BI.

Data Lakehouse development with Databricks

This training program is designed to provide participants with the knowledge and skills required for data lakehousing with Databricks on Azure. The program promises to cover a wide range of topics and is set to equip participants with the practical skills needed to excel in their field. We will review Business Intelligence and Data Warehouse principles and how they are best supported in the Cloud. The focus is on the detailed use of Databricks for data lakehousing but similarly recaps the other relevant BI Azure resources such as Azure Data Factory, Azure Data Lake Storage gen2, Key Vault & Power BI.