Azure AI Solution (AZ AI - 100)

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This learning path is designed to help you prepare for the AI-100 Designing and Implementing an Azure AI Solution exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you get started on your way to becoming an Azure AI engineer. This exam is part of Microsoft’s role-based certification program. Candidates who pass the AI-100 exam will earn the Microsoft Certified: Azure AI Engineer Associate certification.

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About the course

This learning path is designed to help you prepare for the AI-100 Designing and Implementing an Azure AI Solution exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you get started on your way to becoming an Azure AI engineer.

This exam is part of Microsoft’s role-based certification program. Candidates who pass the AI-100 exam will earn the Microsoft Certified: Azure AI Engineer Associate certification.

The AI-100 exam tests your knowledge of three subject areas: analyzing solution requirements, designing AI solutions, and implementing and monitoring AI solutions. This learning path starts by giving you an overview of Azure services. Once you have that foundation, we’ll dig into how to use the various Cognitive Services. They’re divided into five categories: decision, language, speech, vision, and web search. Next, we’ll show you how to build a chatbot using the Azure Bot Service. Finally, we’ll show you how to tie all of the components together into pipelines and data flows using services like Azure Data Factory.

Course Contents

Recommend Azure Cognitive Services APIs to meet business requirements
  • select the processing architecture for a solution
  • select the appropriate data processing technologies
  • select the appropriate AI models and services
  • identify components and technologies required to connect service endpoints
  • identify automation requirements
Map security requirements to tools, technologies, and processes
  • identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
  • identify which users and groups have access to information and interfaces
  • identify appropriate tools for a solution
  • identify auditing requirements
Select the software, services, and storage required to support a solution
  • identify appropriate services and tools for a solution
  • identify integration points with other Microsoft services
  • identify storage required to store logging, bot state data, and Azure Cognitive Services output
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Course Prerequisites

Before attending this course, students must have knowledge of:

  • Microsoft Azure Administrator Associate
  • General knowledge of IT architecture
  • Software development experience, especially using REST APIs

Who should attend?

  • Students should have at least one year of hands-on experience securing Azure workloads and experience with security controls for workloads on Azure
  • Software developers who want to build artificial intelligence solutions on Azure

Number of Hours: 40hrs

Certification

AI-100

Keyfeatures

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

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TechyEdz Software Specialization in developing customized suite of HR consulting solutions based on the operational models of our clients with a special focus on small & Large Enterprises. We bring practical, results driven HR Practice to our clients business that would help them retain people, Improve business productivity and performance of employee.