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AI-100 - Microsoft Certified: Azure AI Engineer Associate
Microsoft cours officiels
Ces cours sont dispensés en français sur la base d'une documentation pédagogique en anglais.
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.
This course help prepare for the exam « AI-100 - Designing and Implementing an Azure AI Solution » to obtain the title « Microsoft Certified: Azure AI Engineer Associate ».
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.
This course help prepare for the exam « AI-100 - Designing and Implementing an Azure AI Solution » to obtain the title « Microsoft Certified: Azure AI Engineer Associate ».
Modules et dates
AI-100 - Microsoft Certified: Azure AI Engineer Associate
Durée
3
Prix
CHF 2'250.-
Prix/j.
CHF 750.-
Cycle 1
on demand
The course is given in French on the basis of documentation in French if available (Fra) or in English (Eng). If it is available in both languages, the French version is distributed unless specifically requested by the interested party. The price of the course includes all the pedagogical documentation distributed.
AI-100 - Microsoft Certified: Azure AI Engineer Associate
Overview :
This 3-day course is designed for Cloud Solutions Architects. Azure artificial intelligence designers and AI developers. In this course, students will learn how to:
- present, and develop, 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.
Target Audience :
This course is aimed at:
- Cloud Solution Architects
- Azure artificial intelligence designers
- AI developers
Prerequisites :
Before attending this course, students must have:
- Azure Fundamentals
- Understanding of Azure storage technologies
- C# Knowledge
Program :
This course is composed of 6 modules including lessons and practical work (lab).
- Introducing Azure Cognitive Services
- Creating Bots
- Enhancing Bots with QnA Maker
- Learn How to Create Language Understanding Functionality with LUIS
- Enhancing Your Bots with LUIS
- Integrate Cognitive Services with Bots and Agents
Module 1: Introducing Azure Cognitive Services
The student will learn about the available Cognitive Services on Microsoft Azure and their role in architecting AI solutions.
Lessons
The student will learn about the Microsoft Bot Framework and Bot Services.
Lessons
Module 3: Enhancing Bots with QnA Maker
The student will learn about the QnA Maker and how to integrate Bots and QnA Maker to build up a useful knowledge base for user interactions.
Lessons
Module 4: Learn How to Create Language Understanding Functionality with LUIS
The student will learn about LUIS and how to create intents and utterances to support a natural language processing solution.
Lessons
Module 5: Enhancing Your Bots with LUIS
The student will learn about integrating LUIS with a Bot to better understand the users’ intentions when interacting with the Bot.
Lessons
Module 6: Integrate Cognitive Services with Bots and Agents
The student will learn about integrating Bots and Agents with Azure Cognitive Services for advanced features such as sentiment analysis, image and text analysis, and OCR and object detection.
Lessons
The student will learn about the available Cognitive Services on Microsoft Azure and their role in architecting AI solutions.
Lessons
- •Overview of Azure Cognitive Services
- •Creating a Cognitive Service on the Azure Portal
- •Access and Test a Cognitive Service
The student will learn about the Microsoft Bot Framework and Bot Services.
Lessons
- •Introducing the Bot Service
- •Creating a Basic Chat Bot
- •Testing with the Bot Emulator
Module 3: Enhancing Bots with QnA Maker
The student will learn about the QnA Maker and how to integrate Bots and QnA Maker to build up a useful knowledge base for user interactions.
Lessons
- 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
The student will learn about LUIS and how to create intents and utterances to support a natural language processing solution.
Lessons
- Introducing Language Understanding
- Create a new LUIS Service
- Build Language Understanding with Intents and Utterances
Module 5: Enhancing Your Bots with LUIS
The student will learn about integrating LUIS with a Bot to better understand the users’ intentions when interacting with the Bot.
Lessons
- 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
The student will learn about integrating Bots and Agents with Azure Cognitive Services for advanced features such as sentiment analysis, image and text analysis, and OCR and object detection.
Lessons
- 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
