Microsoft Certified: Azure AI Engineer Associate (AI102)

In the realm of artificial intelligence (AI) and cloud computing, Microsoft's AI-102 certification holds paramount significance for professionals aspiring to validate their expertise in designing and implementing AI solutions using Microsoft Azure. This Microsoft certified course is designed to teach software developers how to create AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.  

This training is a comprehensive preparation for the AI-102: Designing and Implementing a Microsoft Azure AI Solution exam to earn the Microsoft Certified: Azure AI Engineer Associate certification.


Applicable solutions

Public class

4 days / 28 hours

Private class

Virtual classroom
Minimum no. of participants: 5
4 days / 28 hours
Price on request
English or French
Training plan: 

Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)

Module 1: Prepare for AI engineering

  • Define artificial intelligence
  • Understand AI-related terms
  • Understand considerations for AI Engineers
  • Understand considerations for responsible AI
  • Understand capabilities of Azure Machine Learning
  • Understand capabilities of Azure Cognitive Services
  • Understand capabilities of the Azure Bot Service
  • Understand capabilities of Azure Cognitive Search

Module 2: Provision and manage Azure Cognitive Services

  • Create and consume Cognitive Services
  • Secure Cognitive Services
  • Monitor Cognitive Services
  • Deploy cognitive services in containers

Module 3: Process and translate text with Azure Cognitive Services

  • Extract insights from text with the Language service
  • Translate text with the Translator service

Module 4: Process and Translate Speech with Azure Cognitive Speech Services

  • Create speech-enabled apps with the Speech service
  • Translate speech with the speech service

Module 5: Create a Language Understanding solution with Azure Cognitive Services

  • Build a Language Understanding model
  • Publish and use a Language Understanding app

Module 6: Build a question answering solution

  • Understand question answering
  • Compare question answering to language understanding
  • Create a knowledge base
  • Implement multi-turn conversation
  • Test and publish a knowledge base
  • Use a knowledge base
  • Improve question answering performance
  • Create a question answering bot

Module 7: Create conversational AI solutions

  • Create a bot with the Bot Framework SDK
  • Create a Bot with the Bot Framework Composer

Module 8: Create computer vision solutions with Azure Cognitive Services

  • Analyze images
  • Analyze video
  • Classify images
  • Detect objects in images
  • Detect, analyze, and recognize faces

Module 9: Extract text from images and documents

  • Read Text in Images and Documents with the Computer Vision Service
  • Extract data from forms with Form Recognizer

Module 10: Implement knowledge mining with Azure Cognitive Search

  • Create an Azure Cognitive Search solution
  • Create a custom skill for Azure Cognitive Search
  • Create a knowledge store with Azure Cognitive Search
  • Enrich a search index using Language Studio
  • Implement advanced search features in Azure Cognitive Search
  • Build an Azure Machine Learning custom skill for Azure Cognitive Search
  • Search data outside the Azure platform in Azure Cognitive Search using Azure Data Factory
  • Maintain an Azure Cognitive Search solution
  • One FREE attendance to the Microsoft Certified: Azure Fundamentals (AZ900) training  - $695 value!
  • One voucher to take the exam - $225 value!
  • One year access to the class recording
  • 180 days access to the lab environment after class
  • Up to date courseware with Microsoft Learn
  • Microsoft course achievement badge

Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics
Credentials information: 

Exam Characteristics 

  • Exam code: AI-102 
  • Exam Title: Designing and Implementing a Microsoft Azure AI Solution 
  • Exam Duration: 130 minutes  
  • Number of Questions: 40 to 60  
  • Questions Format: Multiple-choice, multiple-answer, scenario-based 
  • Passing Score: 700 out of 1000 
  • Cost: $0 (included in your training) 

Exam Topics 

  • Plan and manage an Azure AI solution  
  • Implement decision support solutions  
  • Implement computer vision solutions 
  • Implement natural language processing solutions  
  • Implement knowledge mining and document intelligence solutions 
  • Implement generative AI solutions  
  • All details...  

Understanding AI-102: An Overview 

AI-102, recognized as the Azure AI Engineer Associate certification, serves as a pivotal certification that evaluates an individual's proficiency in architecting and implementing AI solutions on the Azure platform. This certification encompasses diverse competencies, including AI workloads, data storage, cognitive services, machine learning, and natural language processing within Azure. 

AI-102 Exam Details and Preparation 

The AI-102 exam delves into various facets of AI engineering on Azure, covering topics such as deploying and managing AI solutions, implementing computer vision solutions, natural language processing, and conversational AI solutions. Aspirants preparing for the AI-102 exam can benefit from official study guides, practice tests, and hands-on labs offered by Microsoft Learn and other reputable platforms. 

For those seeking AI-102 exam practice questions, it's vital to prioritize authentic and reliable resources aligned with the AI-102 curriculum to ensure comprehensive preparation. 

Elevating Expertise in Azure AI Engineering 

The AI-102 Azure AI Engineer Associate certification validates proficiency in designing and implementing AI solutions using Azure technologies, unlocking doors to various career opportunities in the rapidly evolving field of AI engineering. 

By utilizing comprehensive study materials, hands-on practice, and gaining proficiency in Azure AI services, individuals can position themselves as adept Azure AI engineers, contributing to the innovative landscape of AI technology. 

Common Questions about AI-102 Certification (FAQ) 

Is AI-102 difficult? 

The difficulty level of the AI-102 exam can vary based on individual preparation, prior experience with Azure AI technologies, and familiarity with AI concepts. Adequate preparation through studying the exam topics, hands-on experience with Azure AI services, and utilizing official study materials can significantly help in tackling the exam effectively. 

What is AI-102 certification? 

AI-102 certification, also known as the Azure AI Engineer Associate certification, validates an individual's proficiency in designing and implementing AI solutions using Microsoft Azure. It assesses skills related to various AI workloads, including machine learning, natural language processing, computer vision, and implementing AI solutions within Azure. 

How to prepare for AI-102? 

Preparing for the AI-102 exam involves several steps. Candidates can start by thoroughly understanding the exam objectives outlined by Microsoft. Utilizing official study guides, hands-on labs, practice tests, and online courses offered by Microsoft Learn or reputable platforms can aid in comprehensive preparation. Additionally, gaining practical experience with Azure AI services is highly beneficial. 

Does AI-102 have labs?

Yes, the AI-102 course includes labs that provide learners with hands-on experience in artificial intelligence concepts. These labs help reinforce the understanding of topics covered in the course and allow learners to apply theoretical knowledge to practical scenarios, enhancing their mastery of the required skills.

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