AI - 102 : Designing and Implementing an Azure AI Solution

Audience Profile:

This course is tailored for software engineers focused on building, managing, and deploying AI solutions that utilize Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Attendees should be familiar with C# or Python and have experience using REST-based APIs to develop solutions in areas such as computer vision, language analysis, knowledge mining, intelligent search, and conversational AI on Azure.

At Course Completion:
After completing this course, students will be able to:

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
Build conversational solutions with bots
Utilize 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
Build intelligent search solutions for knowledge mining

Prerequisites:

Before attending this course, students should have:

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Proficiency in either C# or Python
Familiarity with JSON and REST programming semantics

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Live Online Training (Duration : 32 Hours)

Guaranteed to run classes as per your convenient time zone

Industry experienced & certified trainers

Query Handling session by technical expert after 2 month completion of training

Career path counselling

Custom tailored training as per the requirement

Exam assistance

Exam Mock papers

100% Quality assurance with certified & industry experienced Trainer

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Download Course Contents

Audience Profile:

At Course Completion:
After completing this course, students will be able to:

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
Build conversational solutions with bots
Utilize 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
Build intelligent search solutions for knowledge mining

Prerequisites:

Before attending this course, students should have:

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Proficiency in either C# or Python
Familiarity with JSON and REST programming semantics

US Army

Instructor was very knowledgeable and very well spoken. For me, the best part of this training course was having a knowledgeable instructor who could answer any of my questions

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AI - 102 : Designing and Implementing an Azure AI Solution

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AZ - 1004 : Deploy and configure Azure Monitor

AZ - 104 : Microsoft Azure Administrator

AZ - 2001 : Implement Security through a Pipeline using Azure DevOps

AZ - 2002 : Develop an ASP.NET Core web app that consumes an API

AZ - 2003 : Deploy cloud-native apps using Azure Container Apps

AZ - 204 : Developing Solutions for Microsoft Azure

AZ - 400 : Microsoft Azure DevOps Engineer

AZ - 500 : Microsoft Azure Security Technologies

AZ - 801 : Configuring Windows Server Hybrid Advanced Services

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