TRAI-102
New Design and implementation of AI solutions in Microsoft Azure
Description
The training is for software developers who want to build AI-based applications that use Azure Cognitive Services, Azure Cognitive Search and Microsoft Bot Framework. The course uses the C# or Python programming language.
Suggested For
It is recommended for software engineers who are building, managing and deploying AI solutions using Azure Cognitive Services, Azure Cognitive Search and the Microsoft Bot Framework, who are proficient in C# or Python and are familiar with REST-based APIs. Areas covered include: computer vision, language analysis, knowledge mining, intelligent search and building conversational AI solutions on Azure.
Job title: AI Engineer
Outline
- Preparing to develop AI solutions in Azure
- Creating and using Cognitive Services
- Ensuring the security of Cognitive Services
- Monitoring Cognitive Services
- Deploying Cognitive Services in containers
- Extracting analytics from text using the Language service
- Translating text using the Translator service
- Create speech-based applications with Speech
- Translating speech with the Speech service
- Creating a Language Understanding model
- Publishing and using a Language Understanding application
- Creating a question answering solution
- Creating a robot with the Bot Framework SDK
- Creating a robot with Bot Framework Composer
- Analyzing images
- Video analysis
- Classifying images
- Detecting objects in images
- Face detection, analysis and recognition
- Reading text in images and documents with Computer Vision
- Extract data from forms using Form Recognizer
- Create an Azure Cognitive Search solution
- Create a custom capability using Azure Cognitive Search
- Create a knowledge repository using Azure Cognitive Search
Prerequisites
Before completing the course, students should have:
- Knowledge of Microsoft Azure and the ability to navigate the Azure portal.
- Proficiency in C# or Python
- Knowledge of JSON and REST programming semantics