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AI-102 Designing and Implementing an Azure AI Solution Print

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.

Accredited course for Continuing Education of Pedagogical Staff

Course length: 4 days (8:30 - 16:00)

Dates

Date PlaceLanguagePrice (without VAT)Availability
12/14/2021 - 12/17/2021 Prague cs 29 600 CZK Free date
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  • Students will be able to

    • 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
  • Course requirements

    • Knowledge of Microsoft Azure and ability to navigate the Azure portal
    • Knowledge of either C# or Python
    • Familiarity with JSON and REST programming semantics
  • This course is intended for

    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.

  • Literature

    All participants will receive original Microsoft student materials.

  • Hardware

    Classrooms are equipped with high-performance computers with Internet access and the possibility of wireless connection.

  • Syllabus

    Module 1: Introduction to AI on Azure

    • Chapter: Introduction to Artificial Intelligence
    • Chapter: Artificial Intelligence in Azure

    Module 2: Developing AI Apps with Cognitive Services

    • Chapter: Getting Started with Cognitive Services
    • Chapter: 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

    Module 3: Getting Started with Natural Language Processing

    • Chapter: Analyzing Text
    • Chapter: Translating Text
    • Lab: Analyze Text
    • Lab: Translate Text

    Module 4: Building Speech-Enabled Applications

    • Chapter: Speech Recognition and Synthesis
    • Chapter: Speech Translation
    • Lab: Recognize and Synthesize Speech
    • Lab: Translate Speech

    Module 5: Creating Language Understanding Solutions

    • Chapter: Creating a Language Understanding App
    • Chapter: Publishing and Using a Language Understanding App
    • Chapter: 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

    Module 6: Building a QnA Solution

    • Chapter: Creating a QnA Knowledge Base
    • Chapter: Publishing and Using a QnA Knowledge Base
    • Lab: Create a QnA Solution

    Module 7: Conversational AI and the Azure Bot Service

    • Chapter: Bot Basics
    • Chapter: Implementing a Conversational Bot
    • Lab: Create a Bot with the Bot Framework SDK
    • Lab: Create a Bot with Bot Framework Composer

    Module 8: Getting Started with Computer Vision

    • Chapter: Analyzing Images
    • Chapter: Analyzing Videos
    • Lab: Analyze Images with Computer Vision
    • Lab: Analyze Video with Video Indexer

    Module 9: Developing Custom Vision Solutions

    • Chapter: Image Classification
    • Chapter: Object Detection
    • Lab: Classify Images with Custom Vision
    • Lab: Detect Objects in Images with Custom Vision

    Module 10: Detecting, Analyzing, and Recognizing Facesí

    • Chapter: Detecting Faces with the Computer Vision Service
    • Chapter: Using the Face Service
    • Lab: Detect, Analyze, and Recognize Faces

    Module 11: Reading Text in Images and Documents

    • Chapter: Reading text with the Computer Vision Service
    • Chapter: Extracting Information from Forms with the Form Recognizer service
    • Lab: Read Text in Images
    • Lab: Extract Data from Forms

    Module 12: Creating a Knowledge Mining Solution

    • Chapter: Implementing an Intelligent Search Solution
    • Chapter: Developing Custom Skills for an Enrichment Pipeline
    • Chapter: 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
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