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Home | Courses | Data Science, AI/ML and SQL
Azure OpenAI Service provides access to OpenAI’s powerful large language models such as GPT; the model behind the popular ChatGPT service.
This course is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.
Learn the concepts for artificial intelligence (AI), and Azure to support AI solutions.
In this course, the students will explore the objectives of data platform modernization and how it is suitable for given business requirements.
Learn to migrate MongoDB and Cassandra workloads to Cosmos DB. – Good for Mongo DB & MySQL
This course will enable the students to understand Azure SQL Database, and educate the students on what is required to migrate MySQL and PostgreSQL workloads to Azure SQL Database.
This course will teach the basics of Microsoft’s dialect of the standard SQL language: Transact-SQL.
Machine Learning Solution with Microsoft Azure Databricks DP-090 Course Overview Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you’ll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. You will Learn: Provision an Azure […]
This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.
In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data.
Learn to design data platform solutions to enhance your business and technical requirements.
In this course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution.
Learn the skills and knowledge to administer a SQL Server databases for Cloud, On-Premises and hybrid databases and support Cloud relational databases.
This course teaches developers how to create application using the SQL API and SDK for Azure Cosmos DB. Students will learn how to write efficient queries, create indexing policies, manage and provisioned resources, and perform common operations with the SDK.
This course covers methods and practices for performing advanced data analytics at scale.
In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.
