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- AI-102 – Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)
AI-102 – Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)
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Curriculum
- 5 Sections
- 39 Lessons
- 999 Weeks
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- Module 1: Create and Manage Azure Cognitive ServicesPrior 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.6
- Module 2: Implement Computer Vision SolutionsLearn 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.8
- 3.1Identify Faces and Expressions by using the Computer Vision API
- 3.2Process Images with the Computer Vision Service
- 3.3Evaluate Requirements for Implementing the Custom Vision APIs
- 3.4Classify Images with the Microsoft CUstomg Vision Service
- 3.5Extract Insights from Videos with the Video Indexer Service
- 3.6Lab : Detect Faces
- 3.7Lab : Create a Custom Vision Service
- 3.8Lab : Extract Insights from Videos with Video Indexer
- Module 3: Implement Language Analysis SolutionsLearn 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.14
- 4.1Add Basic Conversational Intelligence to your App by using Language Understanding
- 4.2Manage you Language Understanding Service
- 4.3Use Containers for your Language Understanding Service
- 4.4Discover Sentiment in Text with the Text Analytics API
- 4.5Recognize Entities in Text with the Text Analytics API
- 4.6Extract Key Phrases from Text with the Text Analytics API
- 4.7Detect Language with the Text Analytics API
- 4.8Lab : Implement the Language Understanding Service
- 4.9Lab : Manage Your Language Understanding Service
- 4.10Lab : Containerize Language Understanding
- 4.11Lab : Perform Sentiment Analysis
- 4.12Lab : Perform Entity Recognition
- 4.13Lab : Perform Key Phrase Extraction
- 4.14Lab : Perform Language Detection
- Module 4: Implement Knowledge Mining SolutionsAzure 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.6
- Module 5: Implement Conversational AI SolutionsUse the Microsoft Bot Framework and the Bot Framework Composer to design and create conversational AI solutions.5