AI-900T00-A | Microsoft Azure AI Fundamentals
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. 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..
 
Audience Profile
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
 
Prerequisites
Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
Specifically:
Experience using computers and the internet.
Interest in use cases for AI applications and machine learning models.
A willingness to learn through hands-on exploration
 
COURSE OUTLINE
Module 1: Microsoft Azure AI Fundamentals: Get started with artificial intelligence
Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you get started.
Get started with AI on Azure
Module 2: Microsoft Azure AI Fundamentals: Explore visual tools for machine learning
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Learn how to use Azure Machine Learning to create and publish models without writing code.
Use Automated Machine Learning in Azure Machine Learning
Create a regression model with Azure Machine Learning designer
Create a classification model with Azure Machine Learning designer
Create a clustering model with Azure Machine Learning designer
Module 3: Microsoft Azure AI Fundamentals: Explore computer visión
Computer vision is an area of artificial intelligence (AI) in which software systems are designed to perceive the world visually, though cameras, images, and video. There are multiple specific types of computer vision problem that AI engineers and data scientists can solve using a mix of custom machine learning models and platform-as-a-service (PaaS) solutions - including many cognitive services in Microsoft Azure.
Analyze images with the Computer Vision service
Classify images with the Custom Vision service
Detect objects in images with the Custom Vision service
Detect and analyze faces with the Face service
Read text with the Computer Vision service
Analyze receipts with the Form Recognizer service
Module 4: Microsoft Azure AI Fundamentals: Explore natural language processing
Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language.
Analyze text with the Language service
Recognize and synthesize speech
Translate text and speech
Create a language model with Conversational Language Understanding
Build a bot with the Language Service and Azure Bot Service
Module 5: Microsoft Azure AI Fundamentals: Explore decision support
Learn how to automate decision support processes using Azure.
Introduction to Anomaly Detector
Module 6: Microsoft Azure AI Fundamentals: Explore knowledge mining
Knowledge mining is a discipline in artificial intelligence (AI) that uses a combination of intelligent services to quickly search and learn from vast amounts of information.
Introduction to Azure Cognitive Search
 
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Debido a las constantes actualizaciones de los contenidos de los cursos por parte del fabricante, el contenido de este temario puede variar con respecto al publicado en el sitio oficial, sin embargo, Netec siempre entregará la versión actualizada de éste