DP-700 Microsoft Fabric Data Engineer
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 […]
DP-600 Fabrics Analytics Engineer
This course provides in-depth training on implementing and managing large-scale data analytics solutions using Microsoft Fabric. Participants will learn how to utilize Fabric dataflows, pipelines, and notebooks to build analytics assets, including semantic models, data warehouses, and lakehouses. Designed for experienced data professionals with skills in data preparation, modelling, analysis, and visualization (e.g., those with […]
Data Science and Machine Learning (SF)
This 3-day instructor-led course provides you with the knowledge to understand the fundamentals of Data Science and Machine Learning, creating simple machine learning implementation in Cloud. Implementing Data Science using R, and build Machine Learning using R packages. Implementing Data Science using Python and building Machine Learning using Python packages. Course Outline
DP-3014 Implementing a Machine Learning Solution with Azure Databricks
Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale. Course Outline
DP-3011 Implementing a Data Analytics Solution with Azure Databricks
Explore how to utilize Apache Spark and high-performance clusters on the Azure Databricks platform to handle large-scale data engineering workloads in the cloud. Course Outline
DP-500 Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Microsoft Purview, Azure Synapse […]
PL-300 Microsoft Power BI Data Analyst
This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss […]
DP-300 Administering Microsoft Azure SQL Solutions
This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases. Course Outline
PL-900 Microsoft Power Platform Fundamental
Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Dataverse, build a Power BI Dashboard, and automate processes with Power Automate. Course Outline
DP-203 Data Engineering on Microsoft Azure
In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working […]
