Microsoft Certified Azure AI Engineer Associate: AI 102

Designing and Implementing a Microsoft Azure AI Solution

511 Learners

Certification Aligned to

Microsoft Azure

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Certification Aligned to

Microsoft Azure

Azure AI Certification Course Overview

The Azure AI certification course prepares you for Microsoft’s Azure AI Engineer Associate exam AI-102. It covers Azure services like language, speech and translation, OpenAI, prompt engineering, responsible generative AI, and more. It also helps you master topics like Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.

Azure AI 102 Certification Key Features

  • Microsoft Certified: Azure AI Engineer Associate - AI-102 aligned training
  • Practice labs and projects with integrated Azure labs
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Training sessions conducted by Microsoft-certified trainers
  • Access to official Microsoft handbooks aligned to the examination
  • Learn at your convenience through our live virtual training sessions
  • Microsoft Certified: Azure AI Engineer Associate - AI-102 aligned training
  • Training sessions conducted by Microsoft-certified trainers
  • Practice labs and projects with integrated Azure labs
  • Access to official Microsoft handbooks aligned to the examination
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Learn at your convenience through our live virtual training sessions
  • Microsoft Certified: Azure AI Engineer Associate - AI-102 aligned training
  • Training sessions conducted by Microsoft-certified trainers
  • Practice labs and projects with integrated Azure labs
  • Access to official Microsoft handbooks aligned to the examination
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Learn at your convenience through our live virtual training sessions

Skills Covered

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

Begin your journey to success

Get lifetime access to self-paced e-learning content

Training Options

online Bootcamp

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Corporate Training

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  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
  • Course, category, and all-access pricing
  • Enterprise-class learning management system (LMS)
  • Enhanced reporting for individuals and teams
  • 24x7 teaching assistance and support

Course Curriculum

Eligibility

The online Microsoft Certified Azure AI Engineer Associate course is ideal for experienced programmers who wish to develop AI-infused applications leveraging Azure services. Learners should be familiar with Python or C#, REST API concepts, JSON,  and Azure services solutions.
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Pre-requisites

Knowledge of Microsoft Azure portal and services and proficiency in programming languages like Python or C# are preferred when enrolling in this program. Understanding REST API and JSON  and being willing to learn Microsoft Azure cognitive services will help you ace this course at a faster pace.
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Course Content

  • Microsoft Certified Azure AI Engineer Associate: AI-102

    Preview
    • Lesson 01: Prepare to develop AI solutions on Azure

      • Understand capabilities of Azure Machine Learning
      • Understand capabilities of Azure AI Services
      • Understand capabilities of Azure OpenAI Service
      • Understand capabilities of Azure AI Search
    • Lesson 02: Create and consume Azure AI services

      • Create Azure AI services resources in an Azure subscription
      • Identify endpoints, keys, and locations
      • Use a REST API and an SDK to consume Azure AI services
    • Lesson 03: Secure Azure AI services

      • Consider authentication for Azure AI services
      • Manage network security for Azure AI services
    • Lesson 04: Monitor Azure AI services

      • Monitor Azure AI services costs
      • Create alerts and view metrics for Azure AI services
      • Manage Azure AI services diagnostic logging
    • Lesson 05: Deploy Azure AI services in containers

      • Create containers for reuse
      • Deploy to a container and secure a container
      • Consume Azure AI services from a container
    • Lesson 06: Analyze images

      • Provision an Azure AI Vision resource
      • Analyze an image
      • Generate a smart-cropped thumbnail
    • Lesson 07: Classify images

      • Provision Azure resources for Azure AI Custom Vision
      • Understand image classification
      • Train an image classifier
    • Lesson 08: Detect, analyze, and recognize faces

      • Identify options for face detection, analysis, and identification
      • Understand considerations for face analysis
      • Detect faces with the Computer Vision service
      • Understand capabilities of the Face service
      • Compare and match detected faces
      • Implement facial recognition
    • Lesson 09: Read Text in images and documents with the Azure AI Vision Service

      • Read text from images using OCR
      • Use the Azure AI Vision service Image Analysis with SDKs
      • Develop an application that can read printed and handwritten text
    • Lesson 10: Analyze video

      • Describe Azure Video Indexer capabilities
      • Extract custom insights
      • Use Azure Video Indexer widgets and APIs
    • Lesson 11: Analyze text with Azure AI Language

      • Detect language from text
      • Analyze text sentiment
      • Extract key phrases, entities, and linked entities
    • Lesson 12: Create question answering solutions with Azure AI Language

      • Understand question answering and how it compares to language understanding
      • Create, test, publish, and consume a knowledge base
      • Implement multi-turn conversation and active learning
      • Create a question answering bot to interact with using natural language
    • Lesson 13: Build a conversational language understanding model

      • Provision Azure resources for Azure AI Language resource
      • Define intents, utterances, and entities
      • Use patterns to differentiate similar utterances
      • Use pre-built entity components
      • Train, test, publish, and review an Azure AI Language model
    • Lesson 14: Create a custom text classification solution

      • Understand types of classification projects
      • Build a custom text classification project
      • Tag data, train, and deploy a model
      • Submit classification tasks from your own app
    • Lesson 15: Custom named entity recognition

      • Understand tagging entities in extraction projects
      • Understand how to build entity recognition projects
    • Lesson 16: Translate text with Azure AI Translator service

      • Provision a Translator resource
      • Understand language detection, translation, and transliteration
      • Specify translation options
      • Define custom translations
    • Lesson 17: Create speech-enabled apps with Azure AI services

      • Provision an Azure resource for the Azure AI Speech service
      • Use the Azure AI Speech to text API to implement speech recognition
      • Use the Text to speech API to implement speech synthesis
      • Configure audio format and voices
      • Use Speech Synthesis Markup Language (SSML)
    • Lesson 18: Translate speech with the Azure AI Speech service

      • Provision Azure resources for speech translation
      • Generate text translation from speech
      • Synthesize spoken translations
    • Lesson 19: Create an Azure AI Search solution

      • Create an Azure AI Search solution
      • Develop a search application
    • Lesson 20: Create a custom skill for Azure AI Search

      • Implement a custom skill for Azure AI Search
      • Integrate a custom skill into an Azure AI Search skillset
    • Lesson 21: Create a knowledge store with Azure AI Search

      • Create a knowledge store from an Azure AI Search pipeline
      • View data in projections in a knowledge store
    • Lesson 22: Plan an Azure AI Document Intelligence solution

      • Describe Azure AI Document Intelligence solution components
      • Create and connect to Azure AI Document Intelligence resources
      • Choose whether to use a prebuilt, custom, or composed model
    • Lesson 23: Use prebuilt Document intelligence models

      • Identify business problems by using prebuilt models in Forms Analyzer
      • Analyze forms by using the General Document, Read, and Layout models
      • Analyze forms by using financial, ID, and tax prebuilt models
    • Lesson 24: Extract data from forms with Azure Document intelligence

      • Identify how Document intelligence's service, and models can automate processes
      • Use Document intelligence's capabilities with SDKs, and REST API
      • Develop and test custom models
    • Lesson 25: Get started with Azure OpenAI Service

      • Create an Azure OpenAI Service resource
      • Deploy a base model and test it in the Studio's playgrounds
      • Generate completions to prompts and begin to manage model parameters
    • Lesson 26: Build natural language solutions with Azure OpenAI Service

      • Integrate Azure OpenAI into your application
      • Differentiate between different endpoints available to your application
      • Generate completions to prompts using the REST API
    • Lesson 27: Apply prompt engineering with Azure OpenAI Service

      • Understand the concept of prompt engineering
      • Know how to design and optimize prompts to better utilize AI models
    • Lesson 28: Generate code with Azure OpenAI Service

      • Use natural language prompts to write code
      • Build unit tests and understand complex code with AI models
      • Generate comments and documentation for existing code
    • Lesson 29: Generate images with Azure OpenAI Service

      • Describe the capabilities of DALL-E in the Azure openAI service
      • Use the DALL-E playground in Azure OpenAI Studio
      • Integrate DALL-E image generation into your apps
    • Lesson 30: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

      • Describe the capabilities of Azure OpenAI on your data
      • Configure Azure OpenAI to use your own data
      • Use Azure OpenAI API to generate responses based on your own data
    • Lesson 31: Fundamentals of Responsible Generative AI

      • Describe an overall process for responsible generative AI solution development
      • Identify and prioritize potential harms relevant to a generative AI solution
      • Measure the presence of harms in a generative AI solution
      • Mitigate harms in a generative AI solution
      • Prepare to deploy and operate a generative AI solution responsibly

Exam & Certification

Microsoft Certified Azure AI Engineer Associate
  • What benefits do learners receive through Simplilearn’s collaboration with Microsoft Azure?

    Upon completing the Microsoft Azure courses at Simplilearn, learners will gain the following advantages:

    They'll earn an official course completion badge/certificate on the Microsoft Learn portal.
    Access to official Microsoft handbooks aligned to the examination

  • What is required to earn the Azure AI Engineer Associate certification?

    To earn the Azure AI Engineer certification, you must pass the following exam: AI-102:  Azure AI Engineer Associate.

  • Does this new exam and certification replace any existing Azure exams?

    AI-102: Azure AI Engineer Associate replaces AI-100, which expired on June 30, 2021.

  • When will the old Azure certification competencies expire, and when will the new requirements become valid?

    The new AI-102 exam format went live in February 2021. If you are preparing for the AI-102, we recommend you take the exam after reviewing the change log as per the new format.

  • Is this course accredited?

    Yes, Simplilearn is a Silver Microsoft Partner, and the course is accredited by Microsoft.

  • Is the exam fee included in the course fee?

    No, the exam fee is not included in the course fee.

  • How much does the Microsoft Azure AI Engineer certification exam cost?

    The Microsoft Azure Developer exam AI 102 costs $165.00 or Rs.4800 plus taxes. This fee is paid to Microsoft when you register for your exam.

  • Do you assist in the exam application process?

    Yes, our Help and Support team can assist you with the exam application process.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • How can I learn more about this training program?

    Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chatbot. Our customer service representatives can provide you with more details.

  • How can I pass the Microsoft AI Engineer Exams on my first attempt?

    This AI-102 Certification course is designed to give you all the skill sets necessary to complete the required projects and help you pass the Azure AI Engineer Exam AI-102 on your first attempt. Please note that this course does not guarantee you will pass on your first attempt, but you will be armed with all the knowledge to do so.

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Azure AI Certification FAQs

  • Who are the trainers for the Azure AI certification training program?

    All trainers are Microsoft Certified (MCTs) and highly qualified, with over 15 years of experience in training and working in the domain.

  • How do I get access to the Azure platform?

    You may get access to an Azure free trial by visiting: https://azure.microsoft.com/en-in/free/

  • What tools do I need to attend the training sessions?

    The system requirements to attend this online training are quite basic:

    • OS: Windows any version above XP SP3 and Mac any version above OS X 10.6
    • Internet Speed: Preferably above 512 KBPS
    • Headset: Any decent headset and microphone that can be used to talk and hear clearly

  • What is Global Teaching Assistance?

    Our teaching assistants will help you get certified on your first attempt. They are a dedicated team of subject matter experts who help you at every step and enrich your learning experience, from class onboarding to project mentoring and job assistance. They engage with the students proactively to ensure the course path is followed. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 support promise?

    We offer 24/7 support through email, chat, and calls. Our dedicated team also provides on-demand assistance through our community forum. Moreover, you will have lifetime access to the community forum even after completing your course with us.

  • What is online classroom training?

    All of the classes are conducted via live online streaming. They are interactive sessions that enable you to ask questions and participate in discussions during class time.

  • How do I register for this online training course on Simplilearn?

    You can enroll in this online Azure Developer training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

      Once payment is received, you will automatically receive a payment receipt and access information via email.


       

  • What certification will I receive after completing the Azure Developer training?

    • After completing the Azure AI Engineer training, you will receive the course completion certificate from Simplilearn.
    • Get an official course completion badge/certificate hosted on the Microsoft Learn portal.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.