| Course Name |
Hours |
List Price |
Content |
| AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
28.00 |
$2,399.00 |
|
Description: AI-102 Designing and Implementing an Azure AI Solution 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.
Audience profile
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C or Python and have knowledge on using REST-based APIs?to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
# of Days:
Setting:
|
| AI-3003: Build a Natural Language Processing Solution with Azure AI Services |
7.00 |
$579.00 |
|
Description: Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
# of Days:
Setting:
|
| AI-3004: Build an Azure AI Vision Solution with Azure AI Services |
7.00 |
$579.00 |
|
Description: Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
# of Days:
Setting:
|
| AI-3016: Develop Custom Copilots with Azure AI Studio |
7.00 |
$579.00 |
|
Description: Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.
# of Days:
Setting:
|
| AI-3022: Implement AI Skills in Azure AI Search |
7.00 |
$579.00 |
|
Description: Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data, and enable applications to search and analyze them.
# of Days:
Setting:
|
| AI-900T00: Microsoft Azure AI Fundamentals |
7.00 |
$579.00 |
|
Description: This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
# of Days:
Setting:
|
| DP-100T01 - Designing and Implementing a Data Science Solution on Azure |
28.00 |
$2,399.00 |
|
Description: Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azures premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
# of Days:
Setting:
|
| DP-300T00: Administering Relational Databases on Microsoft Azure |
28.00 |
$2,399.00 |
|
Description: 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.
Audience profile
The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications.
# of Days:
Setting:
|
| DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB |
28.00 |
$2,399.00 |
|
Description: 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.
Audience Profile
Software engineers tasked with authoring cloud-native solutions that leverage Azure Cosmos DB SQL API and its various SDKs. They are familiar with C, Python, Java, or JavaScript. They also have experience writing code that interacts with a SQL or NoSQL database platform.
# of Days:
Setting:
|
| DP-900T00: Microsoft Azure Data Fundamentals |
7.00 |
$579.00 |
|
Description: 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. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
# of Days:
Setting:
|
| AI-3002: Create Document Intelligence Solutions with Azure AI Document Intelligence |
7.00 |
$579.00 |
|
Description: In this course, youll see how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. Youll also learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline. Youll learn how to:
Design a solution that analyzes your business forms by using Azure AI Document Intelligence.
Create a solution that analyzes common documents by using Document Intelligence.
Create a solution that analyses different custom form types by using Document Intelligence.
Include an Azure AI Document Intelligence service as a custom skill in an Azure Cognitive Search pipeline.
|
| DP-203T00: Data Engineering on Microsoft Azure |
28.00 |
$2,399.00 |
|
Description: 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. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics.
Audience Profile
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
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