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

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Overview

Overview

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.

Skills Measured

  • Analyze solution requirements (25-30%)
  • Design AI solutions (40-45%)
  • Implement and monitor AI solutions (25-30%)

Getting Started

Getting Started

  1. 6/23/2020, Trainings
    Exam AI-100: Skills Outline
  2. 11/5/2019, Video, 1:15:00
    In this session we will break down the Objective Domains and information supporting those Objective Domains in order to prepare for the AI-100 Exam. AI-100 is a great exam...

Learning Paths

Process and classify images with the Azure Cognitive Vision Services
Published: 2/25/2019, Length: 2:42:00

Microsoft Cognitive Services offers pre-built functionality to enable computer vision functionality in your applications. Learn how to use the Cognitive Vision Services to detect faces, tag and classify images, and identify objects

Levels: Beginner

Roles: AI Engineer

Modules

Process and Translate Speech with Azure Cognitive Speech Services
Published: 6/14/2020, Length: 1:03:00

Learn how to implement the Speech services found in Azure Cognitive Services by performing speech-to-text transcription, synthesize text input to speech, perform speech translation, and implement speaker recognition in your AI infused applications

Levels: Intermediate

Roles: AI Engineer, Developer

Modules

Create Intelligent Bots with the Azure Bot Service
Published: 2/25/2019, Length: 0:29:00

In this learning path, find out how to build a chat bot to interact with customers using text, graphics, or speech with extras from QnA Maker and LUIS.

Levels: Beginner

Roles: AI Engineer

Modules

Evaluate text with Azure Cognitive Language Services
Published: 2/25/2019, Length: 2:13:00

Learn how to use Cognitive Language Services to analyze text, determine intent, detect adult themes, and process natural language input

Levels: Beginner

Roles: AI Engineer

Modules

AI-100 News

2/25/2021, MS Tech Community
In a blog post earlier this year, I talked about how we’re taking Azure certifications for data and AI to the next level. As part of that process, we’ve got great news for AI engineers. Exam...
1/21/2021, MS Tech Community
Organizations all over the world are gearing up for a future powered by AI. And they’re looking for  engineers who can create AI-enabled apps and bots to help improve customer service, drive cost...
1/14/2021, MS Tech Community
Qualified data professionals and cloud experts have promising job prospects in today’s world of digital transformation. And they’re in demand for good reason. These pros help migrate data to the...