By attending this course you will gain the following skills:
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.
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.
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.
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.
Module 5: Implement Conversational AI Solutions
Use the Microsoft Bot Framework and the Bot Framework Composer to design and create conversational AI solutions.
Read full, official course description:
AI-102: Designing and Implementing a Microsoft Azure AI Solution
This course will help you prepare for exam AI-102: Designing and Implementing an Microsoft Azure AI Solution
Exam AI-102 leads to the new certification:
Microsoft Certified: Azure AI Engineer Associate