Curso de Windows Azure. Cloud Computing
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Online
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270 €
An Azure AI engineer works with Data Engineers and Data Scientists to analyze requirements for AI cloud-based and hybrid AI solutions and implements solutions. They are aware of the various components that make up the Microsoft Azure AI portfolio and related open source frameworks and technologies. The engineer leverages their knowledge to recommend appropriate tools and technologies for a given solution. The engineer is aware of the available data storage options and uses their understanding of cost models, capacity, and best practices to architect and implement AI solutions.
This course teaches the concepts of Azure AI engineering by presenting, and developing, a scenario that creates a customer support Bot that utilizes various tools and services in the Azure AI landscape like language understanding, QnA Maker, and various Azure Cognitive Services to implement language detection, text analytics, and computer vision.
Module 1: Introducing Azure Cognitive Services
Overview of Azure Cognitive Services
Creating a Cognitive Service on the Azure Portal
Access and Test a Cognitive Service
Module 2: Creating Bots
Introducing the Bot Service
Creating a Basic Chat Bot
Testing with the Bot Emulator
Module 3: Enhancing Bots with QnA Maker
Introducing QnA Maker
Implement a Knowledge Base with QnA Maker
Integrate QnA with a Bot
Module 4: Learn How to Create Language Understanding Functionality with LUIS
Introducing Language Understanding
Create a new LUIS Service
Build Language Understanding with Intents and Utterances
Module 5: Enhancing Your Bots with LUIS
Overview of language understanding for AI applications
Integrate LUIS and Bot to create an AI-based solution
Module 6: Integrate Cognitive Services with Bots and Agents
Understand Cognitive Services for Bot Interactions
Perform Sentiment Analysis for your Bot with Text Analytics
Detect Language in a Bot with the Language Cognitive Services
Integrate Computer Vision with Bots