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. Designing and Implementing an Azure AI Solution course AI-100

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.

lesson

Introduction to Artificial Intelligence

Artificial Intelligence in Azure

After completing this module, students will be able to:

Describes considerations for creating AI-enabled applications

Identify Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services.

lesson

Getting Started with Cognitive Services

Using Cognitive Services for Enterprise Applications

Lab: Get Started with Cognitive Services

Lab : Manage Cognitive Services Security Lab : Monitor Cognitive Services Lab : Use a Cognitive Services Container After completing this module, students will be able to:

Provision and consume cognitive services in Azure

Manage cognitive services security

Monitor cognitive services

Use a cognitive services container

Module 3: Getting Started with Natural Language Processing

Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text.

lesson

Analyzing Text

Translating Text

Lab: Analyze Text Lab: Translate Text

After completing this module, students will be able to:

Use the Text Analytics cognitive service to analyze text

Use the Translator cognitive service to translate text

Module 4: Building Speech-Enabled Applications

Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications.

lesson

Speech Recognition and Synthesis

Speech Translation

Lab: Recognize and Synthesize Speech

Lab : Translate Speech After completing this module, students will be able to:

Use the Speech cognitive service to recognize and synthesize speech

Use the Speech cognitive service to translate speech

Curso de Azure Databricks

With this Azure Databricks course, you'll learn how to draw insights from data and build artificial intelligence (AI) solutions with Azure Databricks, set up an Apache Spark environment, autoscale, and collaborate on shared projects in an area. interactive work. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.

The training is carried out through our Virtual Campus, with this modality you will have all the didactic content on the course platform and it will be accessible, from the start day of the course, 24 hours a day, every day of the week. The student will also have participation forums, as well as continuous tutoring.