The data specialist is a multi-disciplinary role that employs expertise to design, manipulate, analyze, sort, and export various types of information that the organization uses.
The specialist uses techniques to manage large-scale information, such as Machine Learning technology, and tools to sort and present information to different audiences. This role may also handle the management of virtualized storage platforms.
The following training programs aim to:
Possible certifications upon completing your training include:
This four-day Microsoft certification training provides students with the knowledge and skills necessary to administer a SQL Server database infrastructure for cloud, on-premises, and hybrid relational databases, and to work with Microsoft’s PaaS relational database offerings. Additionally, it will be useful for those developing applications that deliver content from SQL-based relational databases.
This training is a comprehensive preparation for the DP-300: Administering Microsoft Azure SQL Solutions exam to earn the Microsoft Certified: Azure Database Administrator Associate.
This Microsoft certification course prepares you to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. You will learn to build a secure and scalable AI infrastructure, automate the lifecycle of machine learning models with Azure Machine Learning, and deploy, evaluate, monitor, and optimize generative AI applications and agents with Microsoft Foundry. This course emphasizes modern production practices: CI/CD, Infrastructure as Code (IaC), automation, and observability, leveraging tools such as GitHub Actions, Azure CLI, and Bicep.
This course provides comprehensive preparation for the AI-300 exam, leading to the Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate certification.
This course covers the methods and practices for implementing and managing enterprise-scale data analytics solutions with Microsoft Fabric. Students will learn to use dataflows, pipelines, and Fabric notebooks to develop analytical resources such as semantic models, data warehouses, and lakehouses.
This course is designed for experienced data professionals qualified in data preparation, modeling, analysis, and visualization, such as those with the Microsoft Certified: Power BI Data Analyst Associate (PL300) certification.
Learners should have prior experience using one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX).
This course provides comprehensive preparation for the DP-600: Implementing Analytics Solutions Using Microsoft Fabric exam, leading to the Microsoft Certified: Fabric Analytics Engineer Associate certification.
This course provides you with the knowledge and skills to design and develop AI-enabled database solutions on Microsoft SQL platforms, including SQL Server, Azure SQL, and SQL databases in Microsoft Fabric.
It is designed for professionals building modern data solutions that combine structured and semi-structured data while integrating AI capabilities into the core of secure, high-performance, and scalable enterprise applications.
The training is also relevant for application developers who rely on SQL-based data services and want to enhance their solutions with capabilities such as vector search, embeddings, and other AI-driven mechanisms to deliver smarter user experiences (semantic search, recommendations, assistants, etc.).
This is a course providing comprehensive preparation for the DP-800 exam: Developing Database Solutions Integrated with Artificial Intelligence for obtaining the Microsoft Certified: SQL AI Developer Associate certification.
Master end-to-end data engineering with Azure Databricks and Unity Catalog. This course takes you from foundational setup to production deployment, covering environment configuration and enterprise-grade governance.
You’ll learn how to build robust ingestion pipelines, implement security and governance with Unity Catalog, and deploy optimized workloads. By the end, you’ll have practical skills to implement, secure, and maintain scalable lakehouse solutions that meet demanding enterprise requirements.
This course provides comprehensive preparation for the DP-750: Implementing Data Engineering Solutions Using Azure Databricks exam, leading to the Microsoft Certified: Azure Databricks Data Engineer Associate certification.
This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration.
This course provides comprehensive preparation for the DP-700: Microsoft Fabric Data Engineer exam, leading to the Microsoft Certified: Fabric Data Engineer Associate certification.
The Microsoft DP-420 course stands out as a crucial resource offering individuals the opportunity to explore the intricacies of designing and implementing data solutions on Azure. This comprehensive course is designed to equip participants with the skills needed to design robust and scalable data solutions, leveraging the power of Microsoft Azure services.
This four-day Microsoft certification training teaches developers how to create an application using the SQL API and the SDK for Azure Cosmos DB. Students will learn to write efficient queries, create indexing policies, manage and provision resources, and perform common operations using the SDK.
This training is a comprehensive preparation for the DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB exam to earn the Microsoft Certified: Azure Cosmos DB Developer Specialty.
This comprehensive training enables IT professionals to master storage security in Azure Files and Azure Blob Storage. Participants will learn to implement robust security strategies, configure access controls, and protect data stored in the Azure cloud. The course covers encryption best practices, identity management, firewall configuration, and data protection solutions for cloud storage environments.
During this training, participants will identify and describe key data concepts such as relational data, non-relational data, Big Data, and analytics, and explore the implementation of this technology with Microsoft Azure. They will delve into the roles, tasks, and responsibilities in the data world. Participants will explore relational data offerings, provisioning, and deployment of relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will investigate non-relational data offerings, provisioning, and deployment of non-relational databases, and non-relational data stores with Microsoft Azure. Participants will explore processing options available for creating data analytics solutions in Azure, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. They will also learn about Power BI, including its building blocks and how they interact.
This course provides comprehensive preparation for the DP-900: Microsoft Azure Data Fundamentals exam, leading to the Microsoft Certified: Azure Data Fundamentals certification.
This comprehensive training enables data professionals to master lakehouse implementation with Microsoft Fabric. Participants will learn to design, deploy, and manage modern lakehouse solutions, combining the advantages of data lakes and data warehouses. The course covers setting up data pipelines, storage optimization, analytics tool integration, and best practices for ensuring data governance and quality in a Microsoft Fabric environment.
This comprehensive training enables data professionals to master data warehouse implementation with Microsoft Fabric. Participants will learn to design, deploy, and optimize modern data warehousing solutions, using Fabric’s advanced capabilities for data integration, transformation, and management. The course also covers best practices for dimensional modeling, performance optimization, and establishing efficient data pipelines in an enterprise environment.
Discover how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, and store your data, and then create relevant reports and analyses faster, thanks to Copilot’s assistive capabilities in Microsoft Fabric.
This comprehensive training enables data professionals to master data analytics implementation with Azure Databricks. Participants will learn to design, develop, and optimize large-scale data analytics pipelines, using Databricks’ advanced features for data processing and transformation. The course also covers best practices for data engineering, performance optimization, and implementing robust analytical solutions in an Azure cloud environment.
This comprehensive training enables data professionals to master Machine Learning implementation with Azure Databricks. Participants will learn to develop, deploy, and manage ML models using Databricks’ advanced features, including MLflow for experiment tracking and model management. The course also covers ML workflow optimization, training pipeline automation, and best practices for large-scale model deployment in an enterprise environment.
This course teaches developers how to use the Azure Cosmos DB for NoSQL API and Software Development Kit (SDK). Students will learn about query execution, resource configuration, SDK operations, and design strategies for modeling non-relational data and data partitioning.
Gain the skills to use Microsoft Purview to improve your data security in Microsoft 365. In this training, you learn how to create sensitive information types, create sensitivity labels, and use auto-labeling policies based on these labels. You also learn how to set up DLP (Data Loss Prevention) policies to safeguard your organization’s data.
This learning path explores how Azure AI and Azure Machine Learning Services integrations, available through the Azure AI extension for Azure Database for PostgreSQL – Flexible Server, enable you to develop intelligent applications powered by artificial intelligence.
The SC-5007 training prepares professionals to protect identities, data, and applications in the cloud. It covers identity management, access security, and information protection. Ideal for those who wish to master Microsoft Security, it provides key skills for securing hybrid cloud environments. Gain expertise in compliance and monitoring to anticipate and manage threats.
This course enables you to master the fundamental principles of Microsoft’s dialect of the standard SQL language, which is Transact-SQL. The topics comprehensively cover advanced querying and data modification in relational databases hosted in Microsoft SQL Server database systems, including: Microsoft SQL Server, Azure SQL Database, and Azure Synapse Analytics.
You will develop complete expertise in using Transact-SQL to create sophisticated queries, optimize performance, and efficiently manage data in modern Microsoft SQL environments.
This comprehensive training enables data analysts and BI professionals to master the development of dynamic reports with Microsoft Power BI. Participants will learn to create advanced interactive visualizations, implement complex DAX calculations, and design responsive reports optimized for various devices. The course also covers best practices for data modeling, integration of diverse data sources, and report performance optimization for effective data-driven decision making.