Data is the new gold! Learn how to setup and maintain data cloud solutions with SQL Azure, Microsoft Fabric or Azure Databricks.
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Microsoft Fabric
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Azure Databricks
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Python Development
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Azure Data Science
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SQL Azure
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Azure Data Governance
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Azure Synapse Analytics
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In our Data Engineering with Microsoft Fabric course, you learn how to build end-to-end data solutions—from ingestion and transformation to real-time analytics.
As your experience grows, the Data Engineering with Microsoft Fabric – Advanced Concepts and Patterns training helps you design scalable, production-ready solutions using advanced architectures and engineering patterns.
The Microsoft Fabric Administration & Governance course focuses on managing Fabric in an enterprise environment, covering topics such as security, governance, capacity management and monitoring.
With Azure Databricks, data engineering, analytics, and AI come together in one powerful platform, fully integrated into the Azure ecosystem.
This means you can build scalable data pipelines, run advanced analytics and develop AI solutions - all using the tools and services you already use in Azure.
Our Data Engineering with Azure Databricks training helps you unlock the full potential of this platform.
Python plays a crucial role in data engineering, data science and AI development due to its versatility, extensive libraries such as Pandas and PySpark, and its ability to handle large-scale data processing, making it an indispensable tool for extracting insights and building data pipelines.
Gain a solid understanding of Python in our course Python for Data Engineers: From Syntax to Solutions. Acquire the necessary skills and knowledge to utilize Python effectively, from basic syntax to implementing real-world solutions. Get hands-on experience with Pandas, PySpark, Delta Lake... in this 4-day training.
Neural networks power many of today’s most advanced AI systems. But using AI effectively requires more than calling pre-trained APIs, you need to understand how models are designed, trained, and optimized.
With PyTorch you can build and train neural networks from scratch.
Want to build and train neural networks yourself? Join our 5-day course Building Neural Networks with PyTorch and learn how to design, train and optimize deep learning models.
While Large Language Models generate headlines, the backbone of enterprise AI often relies on specialized predictive modeling. From Neural Networks to Decision Trees and Support Vector Machines, these architectures remain the gold standard for high-precision tasks like financial forecasting, fraud detection, and customer churn analysis.
Master the art of training these custom models on corporate data using Python and Azure Machine Learning in our course Building your own Models with Azure Machine Learning.
Working with Azure SQL goes beyond traditional SQL Server. While your existing SQL skills remain essential, Azure adds powerful cloud capabilities such as automatic scaling, built-in high availability, advanced security and intelligent performance optimization.
Our learning path guides you step by step. Start with querying data using Transact-SQL, then move into developing and administering Azure SQL databases.
As your expertise grows, you can specialize in performance tuning—so you not only write efficient queries, but also fully leverage Azure’s built-in features to build scalable and high-performing data solutions.