Designing & Implementing An Azure AI Solution
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- 16 and older
- $2,495
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- 32 hours over 4 sessions
May 6th
10am–4:45pm EDT
Meets 4 Times
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Class Description
Description
What you'll learn in this azure training:
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#, Python, or JavaScript as the programming language.
Course 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.
Course Outline
- Introduction to AI on Azure
- Introduction to Artificial Intelligence
- Artificial Intelligence in Azure
- Developing AI Apps with Cognitive Services
- 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
- Getting Started with Natural Language Processing
- Analyzing Text
- Translating Text
- Lab : Analyze Text
- Lab : Translate Text
- Building Speech-Enabled Applications
- Speech Recognition and Synthesis
- Speech Translation
- Lab : Recognize and Synthesize Speech
- Lab : Translate Speech
- Creating Language Understanding Solutions
- 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
- Building a QnA Solution
- Creating a QnA Knowledge Base
- Publishing and Using a QnA Knowledge Base
- Lab : Create a QnA Solution
- Conversational AI and the Azure Bot Service
- Bot Basics
- Implementing a Conversational Bot
- Lab : Create a Bot with the Bot Framework SDK
- Lab : Create a Bot with Bot Framework Composer
- Getting Started with Computer Vision
- Analyzing Images
- Analyzing Videos
- Lab : Analyze Images with Computer Vision
- Lab : Analyze Video with Video Indexer
- Developing Custom Vision Solutions
- Image Classification
- Object Detection
- Lab : Classify Images with Custom Vision
- Lab : Detect Objects in Images with Custom Vision
- Detecting, Analyzing, and Recognizing Faces
- Detecting Faces with the Computer Vision Service
- Using the Face Service
- Lab : Detect, Analyze, and Recognize Faces
- Reading Text in Images and Documents
- 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
- Creating a Knowledge Mining Solution
- 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
Who Should Attend
- 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.
Prerequisites
Required
- AI-900T00: Microsoft Azure AI Fundamentals
Recommended
- Familiarity with JSON and REST programming semantics.
- Knowledge of either C#, Python, or JavaScript.
- Knowledge of Microsoft Azure and ability to navigate the Azure portal.
Remote Learning
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
Refund Policy
A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.
Thereafter, a student will be liable for:
- The non-refundable registration fee of $100 plus
- The cost of any textbooks or supplies accepted plus
- Tuition liability as of the student's last date of physical attendance
- Prior to or during the first week - 0% Penalty
- During the second week - 25% Penalty
- During the third week - 50% Penalty
- During the fourth week - 75% Penalty
- After the fourth week - 100% Penalty
The failure of a student to notify CourseHorse in writing of withdrawal may delay a refund of tuition.
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NetCom Learning
NetCom Learning delivers top-quality training and certification solutions to businesses, individuals and government agencies.
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Since its inception in 1998, NetCom has trained over 95 percent of the Fortune 500, serviced over 23,000 business customers, and advanced the skills and careers of over...
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