Microsoft Certified Azure AI Engineer Associate (AI-102) Training

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Microsoft Certified Azure AI Engineer Associate (AI-102) Training Course Overview

Learn how to build, manage, and deploy AI solutions that leverage Azure Applied AI services and Azure Cognitive Services with Microsoft Certified: Azure AI Engineer Associate (AI-102) Training Certification Course from Multisoft Solutions. Get trained from Multisoft’s global subject matter experts and avail perks like lifetime e-learning access, after training support and a globally recognized training certificate.

Azure Artificial Intelligence offers a suite of features and functionalities to create software applications for conversational AI, machine translation and more. Offered by Multisoft Systems, Microsoft Certified: Azure AI Engineer Associate (AI-102) Training Certification Course is designed for software engineers, AI developers, web developers, app developers, UI/UX developers, DevOps engineers, agile engineers, IT managers, project managers and aspiring Artificial Intelligence Professionals. This course imparts in-depth knowledge on all phases of AI solutions development, including requirements definition, designing, development, performance tuning, deployment, maintenance, and monitoring. This course comprises of 12 modules, starting from introduction to AI on Azure, covering topics such as developing AI Apps with cognitive services, building Speech-Enabled applications, building a QnA solution, developing custom Vision solutions and creating a Knowledge Mining solution. Participants will also learn how to use Azure Cognitive Services and Azure Applied AI services to develop en-to-end AI solutions.

Multisoft Systems Microsoft Certified: Azure AI Engineer Associate (AI-102) Training Certification Course will help you obtain clear understanding of all the aspects and capabilities of Azure AI. With Multisoft, you also get the opportunity to learn from global subject matter experts and avail several benefits like, lifetime e-learning access, recorded training session videos and after training support. Participants will receive one-on-one /corporate instructor led training sessions for this course. After successful completion of the program, participants are awarded with a globally recognized training completion certificate.

Azure AI Engineer Associate (AI-102) Course Objective
  • 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
Azure AI Engineer Associate (AI-102) Online Training
  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support
Target Audience
  • Software engineers
  • AI developers
  • Web developers
  • App developers
  • UI/UX developers
  • DevOps engineers
  • Agile engineers
  • IT managers
  • Project managers
  • Aspiring Artificial Intelligence Professionals
Azure AI Engineer Associate (AI-102) Course Prerequisites
  • Should be proficient in C# or Python
  • 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.
  • Have clear understanding of the components that make up the Azure AI portfolio and the available data storage options
  • Should understand and able to apply responsible AI principles.
Azure AI Engineer Associate (AI-102) Course Certification
  • Multisoft Systems provides training certification after completion of Microsoft Certified: Azure AI Engineer Associate (AI-102) Training Certification Course.

Microsoft Certified Azure AI Engineer Associate (AI-102) Training Course Content

Module 1: Introduction to AI on Azure

  • Introduction to Artificial Intelligence
  • Artificial Intelligence in Azure

Module 2: Developing AI Apps with Cognitive Services

  • Getting Started with Cognitive Services
  • Using Cognitive Services for Enterprise Applications

Module 3: Getting Started with Natural Language Processing

  • Analyzing Text
  • Translate Text

Module 4: Building Speech-Enabled Applications

  • Speech Recognition and Synthesis
  • Speech Translation

Module 5: Creating Language Understanding Solutions

  • Creating a Language Understanding App
  • Publishing and Using a Language Understanding App
  • Using Language Understanding with Speech

Module 6: Building a QnA Solution

  • Creating a QnA Knowledge Base
  • Publishing and Using a QnA Knowledge Base

Module 7: Conversational AI and the Azure Bot Service

  • Bot Basics
  • Implementing a Conversational Bot

Module 8: Getting Started with Computer Vision

  • Analyzing Images
  • Analyzing Videos

Module 9: Developing Custom Vision Solutions

  • Image Classification
  • Object Detection

Module 10: Detecting, Analyzing, and Recognizing Faces

  • Detecting Faces with the Computer Vision Service
  • Using the Face Service

Module 11: Reading Text in Images and Documents

  • Reading text with the Computer Vision Service
  • Extracting Information from Forms with the Form Recognizer service

Module 12: Creating a Knowledge Mining Solution

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

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Free Microsoft Certified Azure AI Engineer Associate Training Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Microsoft Certified Azure AI Engineer Associate Corporate Training

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Microsoft Certified Azure AI Engineer Associate (AI-102) Training FAQ's

Azure Bot Service offers integrated development environment for building bot. It allows developers to build conversational AI bots, as it comes integrated with Power Virtual Agents, which is a low-code, fully hosted platform.

The Bot Framework Service is a component of the Azure Bot Service that sends information between the bot and user's bot-connected app.

It is a public cloud computing platform that offers solutions including, IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). Azure can be used for variety of services such as storage, virtual computing, networking, analytics and much more.

The Microsoft Azure web portal offers suite of functionalities to manage cloud infrastructure without coding experience.

Azure SQL Database is a fully managed relational database service developed for the cloud. It facilitates multi-model database that scales to meet changing business demands.

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