Arrow Electronics, Inc.

Designing and Implementing a Microsoft Azure AI Solution

CODE: MCS_AI-102T00

LENGTH: 5 days

PRICE: €2 914,84

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.

Objectives

  • Describe considerations for AI-enabled application development
  • Create, configure, deploy, and secure Azure Cognitive Services
  • Develop applications that analyze text
  • Develop speech-enabled applications
  • Create applications with natural language understanding capabilities
  • Create QnA applications
  • Create conversational solutions with bots
  • Use computer vision services to analyze images and videos
  • Create custom computer vision models
  • Develop applications that detect, analyze, and recognize faces
  • Develop applications that read and process text in images and documents
  • Create intelligent search solutions for knowledge mining

 

Audience

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.

Job role: AI Engineer

Prerequisites

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.

Programme

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 : 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.

        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 App

            Lab : Create a Language Understanding Client Application

            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 Images with Computer Vision

                  Lab : Analyze Video with Video Indexer

                  After completing this module, students will be able to:

                  • Use the Computer Vision service to analyze images
                  • Use Video Indexer 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 an Azure Cognitive Search solution

                          Lab : Create a Custom Skill for Azure Cognitive Search

                          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

                          Test and Certification

                          Preparation for exam: AI-102

                          Session Dates
                          Date
                          Location
                          Time Zone
                          Language
                          Type
                          Guaranteed
                          PRICE

                          21 helmi 2022

                          Virtual Classroom (GMT / UTC)

                          GMT

                          English

                          Instructor Led Online

                          Free