Designing & Implementing a Microsoft Azure AI Solution

Duration : 4 Days

AI-102 Designing and Implementing an Azure AI Solution 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#, Python, or JavaScript as the programming language.

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#, Python, or JavaScript and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

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.

Create and Manage Cognitive Service Accounts
Secure Cognitive Services
Deploy and Consume Cognitive Services Containers

Lab : Create Azure Cognitive Service Resources

Create Azure Cognitive Service Resource
Access Keys
Use Diagnostics Monitoring
Lab : Secure Azure Cognitive Services

Secure Keys with Azure Key Vault
Lab : Containerize Azure Cognitive Services

Create Containers for Reuse
Deploy to a Container
Consume Cognitive Services from a Container

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.

Identify Faces and Expressions by using the Computer Vision API
Process Images with the Computer Vision Service
Evaluate Requirements for Implementing the Custom Vision APIs
Classify Images with the Microsoft CUstomg Vision Service
Extract Insights from Videos with the Video Indexer Service

Lab : Detect Faces

Get Subscription Keys
Test Face Detection
Lab : Create a Custom Vision Service

Create Service
Upload Tagged Images
Train Model
Test Model
Call Prediction Endpoint
Lab : Extract Insights from Videos with Video Indexer

Subscribe to the Video Indexer API
Upload and Index Images
Examine Output
Find Moments in Video
View and Edit Insights

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.

Add Basic Conversational Intelligence to your App by using Language Understanding
Manage you Language Understanding Service
Use Containers for your Language Understanding Service
Discover Sentiment in Text with the Text Analytics API
Recognize Entities in Text with the Text Analytics API
Extract Key Phrases from Text with the Text Analytics API
Detect Language with the Text Analytics API

Lab : Implement the Language Understanding Service

Create a Language Understanding Service
Work with Intents
Work with Utterances
Work with Entities
Train and Publish a Model
Lab : Manage Your Language Understanding Service

Manage your Keys
Manage Versioning
Scripting Automation
Lab : Containerize Language Understanding

Install and Run Containers
Lab : Perform Sentiment Analysis

Test Sentiment Analysis with the API Testing Console
Create a Function App
Call the Sentiment Analysis API from a Function
Sort Messages
Lab : Perform Entity Recognition

Extract Entities from Text
Lab : Perform Key Phrase Extraction

Extract Key Phrases from Text
Lab : Perform Language Detection

Detect Language in Text

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.

Create an Azure Cognitive Search Solution
Create an Enrichment Pipeline with Azure Cognitive Search
Create a Knowledge Store with Azure Cognitive Search

Lab : Create an Azure Cognitive Search Solution

Create an Azure Resource for Search
Create a Data Source
Create an Index
Create and Run an Indexer
Search and Index
Apply Filtering and Sorting
Enhance the Index
Lab : Create an Enrichment Pipeline

Create an Azure Resource
Create a Data Source
Create a Skillset
Create an Index
Create and Run an Indexer
Search the Enriched Index
Create a Custom Skill
Update the Index
Search the Updated Index
Lab : Create a Knowledge Store

Create Azure Resources
Create a Data Source
Create a Skillset
Create an Index
Create and Run an Indexer
Explore a Knowledge Store

Module 5: Implement Conversational AI Solutions
Use the Microsoft Bot Framework and the Bot Framework Composer to design and create conversational AI solutions.

Build a Chat Bot in the Azure Portal
Design a Bot Conversation Flow
Create a Bot with the Bot Framework Composer

Lab : Create a Bot with the Azure Portal

Create a Basic Bot with the Azure portal
Lab : Create a Bot with the Bot Framework Composer

Create a Bot with the Bot Framework Composer
Add Help and Cancel Functionality
Integrate Language Generation
Use Cards
Integrate Language Understanding

Create, configure, deploy, and secure Azure Cognitive Services
Integrate speech services
Integrate text analytics
Create language understanding capabilities with LUIS
Create and manage Azure Cognitive Search solutions
Create intelligent agents using the Bot Framework
Implment Computer Vision solutions

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Knowledge of either C#, Python, or JavaScript

Regular Price : ~~$2400.00~~
Special Price :$1200.00

Designing & Implementing a Microsoft Azure AI Solution

This course includes: