Designing and Implementing an Azure AI Solution
Utbildningsformer
Remote
Längd
4 dagar
Pris
33605 kr
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.
Audience profile
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.Accessing your courseware and registering attendance with Microsoft
To access your Official Curriculum (MOC) course materials you will need a Microsoft.com/Learn account. In Learn you will also be able to register your completion of the event and receive your achievement badge. You will be issued with a unique code during your event.- 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 solution
- Knowledge of Microsoft Azure and ability to navigate the Azure portal
- Knowledge of either C#, Python, or JavaScrips
Please note: In order to access the Azure labs for this course you will need to have a Microsoft Outlook account that has/will not be used to associate with any other corporate Azure subscription. You can set up a new Outlook account here
Module 1: Introduction to AI on Azure Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly. Lessons
- Introduction to Artificial Intelligence
- Artificial Intelligence in Azure
- Describe considerations for creating AI-enabled applications
- Identify Azure services for AI application development
- Getting Started with Cognitive Services
- Using Cognitive Services for Enterprise Applications
- Lab : Get Started with Cognitive Services
- Lab : Manage Cognitive Services Security
- Lab : Monitor Cognitive Services
- Lab : Use a Cognitive Services Container
- Provision and consume cognitive services in Azure
- Manage cognitive services security
- Monitor cognitive services
- Use a cognitive services container
- Analyzing Text
- Translating Text
- Lab : Analyze Text
- Lab : Translate Text
- Use the Text Analytics cognitive service to analyze text
- Use the Translator cognitive service to translate text
- Speech Recognition and Synthesis
- Speech Translation
- Lab : Recognize and Synthesize Speech
- Lab : Translate Speech
- Use the Speech cognitive service to recognize and synthesize speech
- Use the Speech cognitive service to translate speech
- Creating a Language Understanding App
- Publishing and Using a Language Understanding App
- Using Language Understanding with Speech
- Lab : Create a Language Understanding App
- Lab : Create a Language Understanding Client Application
- Lab : Use the Speech and Language Understanding Services
- Create a Language Understanding app
- Create a client application for Language Understanding
- Integrate Language Understanding and Speech
- Creating a QnA Knowledge Base
- Publishing and Using a QnA Knowledge Base
- Lab : Create a QnA Solution
- Use QnA Maker to create a knowledge base
- Use a QnA knowledge base in an app or bot
- Bot Basics
- Implementing a Conversational Bot
- Lab : Create a Bot with the Bot Framework SDK
- Lab : Create a Bot with Bot Framework Composer
- Use the Bot Framework SDK to create a bot
- Use the Bot Framework Composer to create a bot
- Analyzing Images
- Analyzing Videos
- Lab : Analyze Images with Computer Vision
- Lab : Analyze Video with Video Indexer
- Use the Computer Vision service to analyze images
- Use Video Indexer to analyze videos
- Image Classification
- Object Detection
- Lab : Classify Images with Custom Vision
- Lab : Detect Objects in Images with Custom Vision
- Use the Custom Vision service to implement image classification
- Use the Custom Vision service to implement object detection
- Detect faces with the Computer Vision service
- Detect, analyze, and recognize faces with the Face service
- Reading text with the Computer Vision Service
- Extracting Information from Forms with the Form Recognizer service
- Lab : Read Text in Images
- Lab : Extract Data from Forms
- Use the Computer Vision service to read text in images and documents
- Use the Form Recognizer service to extract data from digital forms
- Implementing an Intelligent Search Solution
- Developing Custom Skills for an Enrichment Pipeline
- Creating a Knowledge Store
- Lab : Create an Azure Cognitive Search solution
- Lab : Create a Custom Skill for Azure Cognitive Search
- Lab : Create a Knowledge Store with Azure Cognitive Search
- Create an intelligent search solution with Azure Cognitive Search
- Implement a custom skill in an Azure Cognitive Search enrichment pipeline
- Use Azure Cognitive Search to create a knowledge store