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AI-102: Designing and Implementing a Microsoft Azure AI Solution

AI-102: Designing and Implementing a Microsoft Azure AI Solution

Welcome to AI-102: Designing and Implementing a Microsoft Azure AI Solution course will teach you how to design and implement an Azure AI solution. The primary audience for this course is application developers seeking to include Azure AI functionality in their applications. Although most Azure AI services can be used with web studios, to use the APIs and SDKs effectively, a basic knowledge of Microsoft C# or Python is recommended.


AI-102 includes hands-on activities in which you will use C# or Python to develop AI applications. In this course, you will learn how to develop solution using Azure AI Services. Topics covered include natural language understanding, computer vision, document intelligence and generative AI. Specifically, you’ll learn how to 1. Provision Azure resources and use the service studios 2. Train and customize various Azure AI models 3. Use APIs and SDKs to consume models from client applications.


This course will build on these topics with hands-on lab learnings and Knowledge Check questions.

Microsoft Learn

Virtual Instructor-Led Training

Course Duration: 4-Days (32-Hours)

Microsoft Official Lab Exercises

Microsoft Certified Trainer

Cloud Lab Access

Overview

AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services. This course will cover all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.

 

Candidates attending this course should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.

 

AI Engineers design and develop intelligent solutions that encapsulate artificial intelligence (AI) capabilities. As an aspiring Azure AI Engineer, it's important to understand some of the key foundational concepts on which AI is based, and the various services in Microsoft Azure that you can use to build AI solutions.

Modules

Introduction to AI and Azure AI services

  • Introduction to AI
  • AI in Azure
  • Get started with Azure AI services
  • Using Azure AI Services for enterprise applications

Module 2: Develop computer vision solutions with Azure AI Vision

  • Analyze and manipulate images
  • Create a custom vision model
  • Detect and recognize faces
  • Analyze video

Module 3: Develop natural language processing solutions

  • Analyzing and translating text
  • Build a question answering solution
  • Build a conversational language understanding app
  • Custom classification and named entity extraction
  • Speech recognition, synthesis, and translation

Module 4: Develop Generative AI Solutions with Azure OpenAI Service

  • Get started with Azure OpenAI Service
  • Develop apps with Azure OpenAI Service
  • Apply prompt engineering with Azure OpenAI Service
  • Use your own data with Azure OpenAI Service

Module 5: Creating a Knowledge Mining Solution

  • Implementing an Intelligent Search Solution
  • Developing Custom Skills for an Enrichment Pipeline
  • Creating a Knowledge Store

Module 6: Develop solutions with Azure AI Document Intelligence

  • Use prebuilt Document Intelligence models
  • Train a custom Document Intelligence model

Fees And Schedule

Instructor-Led Training

32-Hour of Instructor-Led Training One to one doubt resolution sessions Microsoft Official Lab Access

Learning Objectives

After completing the course, students will be able to:
  • Plan and manage an Azure Cognitive Services solution
  • Implement Computer Vision solutions
  • Implement natural language processing solutions
  • Implement knowledge mining solutions
  • Implement conversational AI solutions

How do our AI-102-Designing and Implementing a Microsoft Azure AI Solution Course Work?

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Course Price :

Original price was: $1,999.00.Current price is: $1,499.00.

26% OFF. Expires in

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