Exam Code: AI-100
Exam Name: Designing and Implementing an Azure AI Solution
Certification Provider: Microsoft
Corresponding Certification: Azure AI Engineer Associate
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The benefit in Obtaining the AI-100 Exam Certification

  • Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional. Certified Professional in this particular skill set is 74% more efficient when it comes to completing their tasks in a timely well-executed manner.
  • Becoming Microsoft Certified Azure AI Engineer Associate means one thing you are worth more to the company and therefore more to yourself in the form of an upgraded pay package. On average a Microsoft Certified Azure AI Engineer Associate member of staff is estimated to be worth 30% more to a company than their uncertified professionals.
  • Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
  • After completion of Microsoft Certified Azure AI Engineer Associate Candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
  • When Candidates applying for a job or looking to promotion in their current position, a Microsoft Certified Azure AI Engineer Associate certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.

Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx

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Main Prerequisites

Before you decide to take the Microsoft AI-100 exam, it is important that you understand all the knowledge requirements for this test. The exam is not designed for the general public, so you need to possess certain competence before attempting it. The target candidates for this certification test should have the following skills:

  • Understanding when a custom API should be developed to satisfy certain business requirements.
  • Expertise in implementing and designing AI applications and agents that utilize Microsoft Azure Cognitive Services.
  • Familiarity with data storage in Azure, Azure Cognitive Search, Microsoft Azure Cognitive Services, and Azure Bot Service.
  • Ability to put forward solutions that utilize open source technologies with understanding the elements that make up the Azure AI portfolio along with the available data storage options.

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Exam AI-100: Designing and Implementing an Azure AI Solution

THIS EXAM RETIRED ON JUNE 30, 2021. A replacement exam, AI-102, is available. For more information, visit the AI-102 exam details page.

Candidates for this exam should 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.

Responsibilities for an Azure AI Engineer include analyzing requirements for AI solutions, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements.

Azure AI Engineers translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions.

A candidate for this exam should have knowledge and experience designing and implementing AI apps and agents that use Microsoft Azure Cognitive Services, Azure Bot Service, Azure Cognitive Search, and data storage in Azure. In addition, a candidate should be able to recommend solutions that use open source technologies, understand the components that make up the Azure AI portfolio and the available data storage options, and understand when a custom API should be developed to meet specific requirements.

Part of the requirements for: none

Download exam skills outline

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Microsoft AI-100 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analyze Solution Requirements25-30%- Define solution performance and scalability criteria
- Identify business and technical requirements
- Assess security, compliance, and governance needs
- Evaluate data storage and processing options
Topic 2: Design AI Solutions40-45%- Design knowledge mining and search solutions
- Design computer vision solutions
- Design conversational AI and bot solutions
- Select appropriate Azure Cognitive Services
- Integrate open-source and custom AI components
- Design natural language processing solutions
Topic 3: Implement and Monitor AI Solutions25-30%- Maintain and update AI solutions
- Integrate AI models and services into applications
- Configure security and access controls
- Deploy AI solutions to Azure infrastructure
- Monitor performance, usage, and health

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