Overview

Gain expertise and skills needed to embed artificial intelligence capabilities into apps, including Cognitive Services, natural language processing, and conversational AI with the Azure AI Engineer Associate certification.

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# or Python as the programming language

Skills Covered

  • 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

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# 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.

This Microsoft Official Course prepares students for the Microsoft Certified: Azure AI Engineer Associate certification. The AI-102 exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.

Course Curriculum

Prerequisites

Before attending this course, students must have:

  •  Knowledge of Microsoft Azure and ability to navigate the Azure portal
  •  Knowledge of either C# or Python
  •  Familiarity with JSON and REST programming semantics
  • To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.
  • 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.

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Training Options

Intake: 6-9 Dec 2021
Duration: 4 Days
Guaranteed: TBC
Modality: ILT
Price:

RM3,000.00Enroll Now

RM3,387.00Enroll Now

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Intake: 6-9 Dec 2021
Duration: 4 Days
Guaranteed: TBC
Modality: VILT
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Intake: 25-28 Jan 2022
Duration: 4 Days
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Modality: ILT
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RM3,387.00Enroll Now

Exam:
Intake: 25-28 Jan 2022
Duration: 4 Days
Guaranteed: TBC
Modality: VILT
Price:

RM3,000.00Enroll Now

RM3,387.00Enroll Now

Exam:
Intake: 8-11 Mar 2022
Duration: 4 Days
Guaranteed: TBC
Modality: ILT
Price:

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RM3,387.00Enroll Now

Exam:
Intake: 8-11 Mar 2022
Duration: 4 Days
Guaranteed: TBC
Modality: VILT
Price:

RM3,000.00Enroll Now

RM3,387.00Enroll Now

Exam:
Intake: 10-13 May 2022
Duration: 4 Days
Guaranteed: TBC
Modality: ILT
Price:

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RM3,387.00Enroll Now

Exam:
Intake: 10-13 May 2022
Duration: 4 Days
Guaranteed: TBC
Modality: VILT
Price:

RM3,000.00Enroll Now

RM3,387.00Enroll Now

Exam:

Exam & Certification

Microsoft Certified: Azure AI Engineer Associate.

The Azure AI Engineer Associate certification validates that you have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.

You can earn the certification by passing Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution, which has replaced Exam AI-100. The updated exam focuses more on practical engineering and less on solution architecture, in keeping with the current skills for the role.

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