Stai utilizzando un browser vecchio, che non rispetta gli standard web. Ti consigliamo di cambiarlo, perché questo sito potrebbe non funzionare correttamente.

Designing and Implementing an Azure AI Solution

MOC-AI-102T00

In: Data & AI

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.

Course outline

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.

Lessons

    Introduction to Artificial Intelligence

    -
    Artificial Intelligence in Azure

    After completing this module, students will be able to:

    -
    Describe considerations for creating AI-enabled applications

    -
    Identify ...

    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.

    Lessons

      Introduction to Artificial Intelligence

      -
      Artificial Intelligence in Azure

      After completing this module, students will be able to:

      -
      Describe 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.

      Lessons

        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.

        Lessons

          Analyzing Text

          -
          Translating Text

          Lab : Translate Text
          Lab : Analyze 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.

          Lessons

            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

            Module 5: Creating Language Understanding Solutions

            To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input.

            Lessons

              Creating a Language Understanding App

              -
              Publishing and Using a Language Understanding App

              -
              Using Language Understanding with Speech

              Lab : Create a Language Understanding Client Application
              Lab : Create a Language Understanding App
              Lab : Use the Speech and Language Understanding Services

              After completing this module, students will be able to:

              -
              Create a Language Understanding app

              -
              Create a client application for Language Understanding

              -
              Integrate Language Understanding and Speech

              Module 6: Building a QnA Solution

              One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution.

              Lessons

                Creating a QnA Knowledge Base

                -
                Publishing and Using a QnA Knowledge Base

                Lab : Create a QnA Solution

                After completing this module, students will be able to:

                -
                Use QnA Maker to create a knowledge base

                -
                Use a QnA knowledge base in an app or bot

                Module 7: Conversational AI and the Azure Bot Service

                Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.

                Lessons

                  Bot Basics

                  -
                  Implementing a Conversational Bot

                  Lab : Create a Bot with the Bot Framework SDK
                  Lab : Create a Bot with Bot Framework Composer

                  After completing this module, students will be able to:

                  -
                  Use the Bot Framework SDK to create a bot

                  -
                  Use the Bot Framework Composer to create a bot

                  Module 8: Getting Started with Computer Vision

                  Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video.

                  Lessons

                    Analyzing Images

                    -
                    Analyzing Videos

                    Lab : Analyze Video
                    Lab : Analyze Images with Computer Vision

                      After completing this module, students will be able to:

                      -
                      Use the Computer Vision service to analyze images

                      -
                      Use Video Analyzer to analyze videos

                      Module 9: Developing Custom Vision Solutions

                      While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models.

                      Lessons

                        Image Classification

                        -
                        Object Detection

                        Lab : Classify Images with Custom Vision
                        Lab : Detect Objects in Images with Custom Vision

                        After completing this module, students will be able to:

                        -
                        Use the Custom Vision service to implement image classification

                        -
                        Use the Custom Vision service to implement object detection

                        Module 10: Detecting, Analyzing, and Recognizing Faces

                        Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces.

                        Lessons

                          Detecting Faces with the Computer Vision Service

                          -
                          Using the Face Service

                          Lab : Detect, Analyze, and Recognize Faces

                          After completing this module, students will be able to:

                          -
                          Detect faces with the Computer Vision service

                          -
                          Detect, analyze, and recognize faces with the Face service

                          Module 11: Reading Text in Images and Documents

                          Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms.

                          Lessons

                            Reading text with the Computer Vision Service

                            -
                            Extracting Information from Forms with the Form Recognizer service

                            Lab : Read Text in Images
                            Lab : Extract Data from Forms

                            After completing this module, students will be able to:

                            -
                            Use the Computer Vision service to read text in images and documents

                            -
                            Use the Form Recognizer service to extract data from digital forms

                            Module 12: Creating a Knowledge Mining Solution

                            Ultimately, many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights.

                            Lessons

                              Implementing an Intelligent Search Solution

                              -
                              Developing Custom Skills for an Enrichment Pipeline

                              -
                              Creating a Knowledge Store

                              Lab : Create a Custom Skill for Azure Cognitive Search
                              Lab : Create an Azure Cognitive Search solution
                              Lab : Create a Knowledge Store with Azure Cognitive Search

                              After completing this module, students will be able to:

                              -
                              Create an intelligent search solution with Azure Cognitive Search

                              -
                              Implement a custom skill in an Azure Cognitive Search enrichment pipeline

                              -
                              Use Azure Cognitive Search to create a knowledge store

                              Show more

                              Durata

                              • 28 ore
                              • 4 giorni

                              Prerequisiti

                              Before attending this course, students must have:

                              -
                              Knowledge of Microsoft Azure and ability to navigate the Azure portal

                              -
                              Knowledge of either C# or Python

                              -
                              Familiarity with JSON and REST programming semantics

                              To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

                              If you are new to artificial int...

                              Before attending this course, students must have:

                              -
                              Knowledge of Microsoft Azure and ability to navigate the Azure portal

                              -
                              Knowledge of either C# or Python

                              -
                              Familiarity with JSON and REST programming semantics

                              To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

                              If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.

                              Show more

                              Solo su richiesta

                              Questo corso è erogabile solo su richiesta, in modalità on-line (con formazione a distanza), oppure on-site, sempre personalizzati secondo le esigenze.

                              Richiesta informazioni