Course Curriculum

• Module 1: Create and Manage Azure Cognitive Services

  Prior to accessing any of the Cognitive Services functionality on Azure, you will need to create a Cognitive Services resource. Using the various services (Speech, Computer Vision etc.), requires, at a minimum, an access key and a service endpoint URL. The information is required for authorization of applications that will be accessing these services. You will create either a single-service resource or a multi-service resource, depending on the services you access.

  • Create and Manage Cognitive Service Accounts
  • Secure Cognitive Services
  • Deploy and Consume Cognitive Services Containers
  • Lab : Create Azure Cognitive Service Resources
  • Lab : Secure Azure Cognitive Services
  • Lab : Containerize Azure Cognitive Services

• Module 2: Implement Computer Vision Solutions

  Learn how to integrate visual AI in your applications through the use of Azure Computer Vision. Detect and identify faces or objects in images and video, perform object detection, classify images, and implement custom vision solutions.

  • Identify Faces and Expressions by using the Computer Vision API
  • Process Images with the Computer Vision Service
  • Evaluate Requirements for Implementing the Custom Vision APIs
  • Classify Images with the Microsoft CUstomg Vision Service
  • Extract Insights from Videos with the Video Indexer Service
  • Lab : Detect Faces
  • Lab : Create a Custom Vision Service
  • Lab : Extract Insights from Videos with Video Indexer

• Module 3: Implement Language Analysis Solutions

  Learn how to implement natural language functionality in your applications through integration of the Language Understanding service. Gain insights into your users' intentions through text analytics features such as sentiment analysis and language detection. Identify important information in text files with entity and key phrase extraction capabilities.

  • Add Basic Conversational Intelligence to your App by using Language Understanding
  • Manage you Language Understanding Service
  • Use Containers for your Language Understanding Service
  • Discover Sentiment in Text with the Text Analytics API
  • Recognize Entities in Text with the Text Analytics API
  • Extract Key Phrases from Text with the Text Analytics API
  • Detect Language with the Text Analytics API
  • Lab : Implement the Language Understanding Service
  • Lab : Manage Your Language Understanding Service
  • Lab : Containerize Language Understanding
  • Lab : Perform Sentiment Analysis
  • Lab : Perform Entity Recognition
  • Lab : Perform Key Phrase Extraction
  • Lab : Perform Language Detection

• Module 4: Implement Knowledge Mining Solutions

  Azure Cognitive Search provides a cloud-based solution for indexing and querying a wide range of data sources, and creating comprehensive and high-scale search solutions. Lean to implement a solution in which the documents are indexed and made easy to search.

  • Create an Azure Cognitive Search Solution
  • Create an Enrichment Pipeline with Azure Cognitive Search
  • Create a Knowledge Store with Azure Cognitive Search
  • Lab : Create an Azure Cognitive Search Solution
  • Lab : Create an Enrichment Pipeline
  • Lab : Create a Knowledge Store

• Module 5: Implement Conversational AI Solutions

  Use the Microsoft Bot Framework and the Bot Framework Composer to design and create conversational AI solutions.

  • Build a Chat Bot in the Azure Portal
  • Design a Bot Conversation Flow
  • Create a Bot with the Bot Framework Composer
  • Lab : Create a Bot with the Azure Portal
  • Lab : Create a Bot with the Bot Framework Composer