Training: Designing and Implementing a Microsoft Azure AI Solution

Ref. AI-102T00

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Duration:

4

days

Exam:

Optional

Level:

Intermediate

Funding:

Temptraining

ITTA | Trainings | IT Pro | Cloud Computing | Designing and Implementing a Microsoft Azure AI Solution

Description

This course is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

Participant profiles

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure

Objectives

Describe considerations for AI-enabled application development
Create, configure, deploy, and secure Azure Cognitive Services
Develop applications that analyze text
Develop speech-enabled applications
Create applications with natural language understanding capabilities
Create QnA applications
Create conversational solutions with bots
Use computer vision services to analyze images and videos
Create custom computer vision models
Develop applications that detect, analyze, and recognize faces
Develop applications that read and process text in images and documents
Create intelligent search solutions for knowledge mining

Prerequisites

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Knowledge of either C# or Python
Familiarity with JSON and REST programming semantics
If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one

Course content

Module 1: Introduction to AI on Azure

Lesson 1: Introduction to Artificial Intelligence
Lesson 2: Artificial Intelligence in Azure

Module 2: Developing AI Apps with Cognitive Services

Lesson 1: Getting Started with Cognitive Services
Lesson 2: Using Cognitive Services for Enterprise Applications

Module 3: Getting Started with Natural Language Processing

Lesson 1: Analyzing Text
Lesson 2: Translating Text

Module 4: Building Speech-Enabled Applications

Lesson 1: Speech Recognition and Synthesis
Lesson 2: Speech Translation

Module 5: Creating Language Understanding Solutions

Lesson 1: Creating a Language Understanding App
Lesson 2: Publishing and Using a Language Understanding App
Lesson 3: Using Language Understanding with Speech

Module 6: Building a QnA Solution

Lesson 1: Creating a QnA Knowledge Base
Lesson 2: Publishing and Using a QnA Knowledge Base

Module 7: Conversational AI and the Azure Bot Service

Lesson 1: Bot Basics
Lesson 2: Implementing a Conversational Bot

Module 8: Getting Started with Computer Vision

Lesson 1: Analyzing Images
Lesson 2: Analyzing Videos

Module 9: Developing Custom Vision Solutions

Lesson 1: Image Classification
Lesson 2: Object Detection

Module 10: Detecting, Analyzing, and Recognizing Faces

Lesson 1: Detecting Faces with the Computer Vision Service
Lesson 2: Using the Face Service

Module 11: Reading Text in Images and Documents

Lesson 1: Reading text with the Computer Vision Service
Lesson 2: Extracting Information from Forms with the Form Recognizer service

Module 12: Creating a Knowledge Mining Solution

Lesson 1: Implementing an Intelligent Search Solution
Lesson 2: Developing Custom Skills for an Enrichment Pipeline
Lesson 3: Creating a Knowledge Store

Documentation

Access to Microsoft Learn (online learning content)

Lab / Exercises

Official Microsoft Labs

Lab 1: Get Started with Cognitive Services
Lab 2: Manage Cognitive Services Security
Lab 3: Monitor Cognitive Services
Lab 4: Use a Cognitive Services Container
Lab 5: Analyze Text
Lab 6: Translate Text
Lab 7: Recognize and Synthesize Speech
Lab 8: Translate Speech
Lab 9: Create a Language Understanding App
Lab 10: Create a Language Understanding Client Application
Lab 11: Use the Speech and Language Understanding Services
Lab 12: Create a QnA Solution
Lab 13: Create a Bot with the Bot Framework SDK
Lab 14: Create a Bot with Bot Framework Composer
Lab 15: Analyze Images with Computer Vision
Lab 16: Analyze Video with Video Indexer
Lab 17: Classify Images with Custom Vision
Lab 18: Detect Objects in Images with Custom Vision
Lab 19: Detect, Analyze, and Recognize Faces
Lab 20: Read Text in Images
Lab 21: Extract Data from Forms
Lab 22: Create an Azure Cognitive Search solution
Lab 23: Create a Custom Skill for Azure Cognitive Search
Lab 24: Create a Knowledge Store with Azure Cognitive Search

Exam

This course prepares you to the AI-102: Designing and Implementing a Microsoft Azure AI Solution exam. If you wish to take this exam, please contact our secretariat who will let you know the cost of the exam and will take care of all the necessary administrative procedures for you.

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Temptraining funding

ITTA is a partner of Temptraining, the continuing education fund for temporary workers. This training fund can subsidize continuing education for anyone who works for an employer subject to the Collective Work Agreement (CCT) Rental of services.