Microsoft Certified Azure AI Engineer Associate: AI 102

Design and Implement a Microsoft Azure AI Solution

529 Learners

Certification Aligned to

Microsoft Azure

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Certification Aligned to

Microsoft Azure

Azure AI 102 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
  • Access to official Microsoft handbooks aligned to the examination
  • Practice tests to prepare you for the AI 102 examination
  • Training sessions conducted by Microsoft-certified trainers
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Practice labs and projects with Azure labs
  • Microsoft Certified: Azure AI Engineer Associate - AI-102 aligned training
  • Training sessions conducted by Microsoft-certified trainers
  • Access to official Microsoft handbooks aligned to the examination
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Practice tests to prepare you for the AI 102 examination
  • Practice labs and projects with Azure labs
  • Microsoft Certified: Azure AI Engineer Associate - AI-102 aligned training
  • Training sessions conducted by Microsoft-certified trainers
  • Access to official Microsoft handbooks aligned to the examination
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Practice tests to prepare you for the AI 102 examination
  • Practice labs and projects with Azure labs

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

  • Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access.
  • Live online training from Microsoft-certified trainers
  • 24x7 learner assistance and support
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Corporate Training

Upskill or reskill your teams

  • 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:

    Official course completion badge/certificate on the Microsoft Learn portal and 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.

  • Do you provide any practice tests as a part of this AI 102 course?

    Yes, we provide a practice test as part of our AI 102 course to help you prepare for the certification exam. The practice test is intended to help you understand the type of questions you would face in the Microsoft Certified Azure AI Engineer Associate exam and gain expertise in the topics that are a part of the course syllabus.

  • 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 Join this Program

  • 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

  • What is Microsoft AI 102 certification?

    A Microsoft AI-102 certification program is a comprehensive training course designed to help professionals master the skills needed to design and implement AI solutions using Microsoft Azure. Simplilearn's Microsoft  AI 102 certification training has modules like natural language processing (NLP), computer vision, machine learning, and Azure Cognitive Services that prepare candidates to pass the AI-102 certification exam. It also provides hands-on experience with Azure tools and real-world projects to validate a leaner’s expertise in AI development and deployment on Azure, boosting career prospects in AI and cloud computing.

  • What does an AI engineer do?

    An AI engineer designs and builds artificial intelligence models and systems that can perform tasks typically requiring human intelligence. They are experts in developing ML algorithms, neural networks, and NLP systems to solve problems like automation, data analysis, and decision-making. AI Engineers also collaborate with data scientists and software developers to deploy AI solutions and ensure their scalability and efficiency in real-world applications.

  • What are the benefits of this AI 102 certification training course?

    Simplilearn’s AI-102 certification training course provides specialized knowledge in designing and implementing AI solutions using Microsoft Azure. In addition to covering key areas like NLP, computer vision, conversational AI, and ML, this certification includes assignments and capstone projects that help you build and optimize AI-powered applications. Simplilearn also offers resume-building and career assistance services, boosting job opportunities.

  • How efficient are the trainers at Simplilearn?

    The instructors at Simplilearn's courses have extensive expertise and hands-on experience in AI and ML. Their work experience, educational background, and teaching talents are thoroughly considered during selection. These instructors have extensive knowledge of AI frameworks, techniques, and tools. The instructors' insights and real-world experiences facilitate a highly relevant learning experience.

  • How do I enroll in the Azure AI engineer certification training?

    The application process for the Azure AI engineer certification involves three steps. 

    • Candidates must complete the application form after clicking the enroll now option.

    • Payment can be made securely online using Visa credit or debit card, MasterCard, American Express, Diner’s Club, or PayPal.

    • Once payment is processed, candidates will receive a receipt, and access details will be emailed.

  • What will be the career path after completing the AI 102 certification program?

    The demand for professionals in AI is increasing constantly. Completing the AI-102 certification program will help you explore roles such as Azure AI engineer, machine learning engineer, or AI solutions architect. These roles involve designing, implementing, and optimizing AI solutions using Azure's AI services. With experience and upskilling, you can advance into leadership positions, such as AI project manager or AI consultant, working on enterprise-level AI deployments. The certification training also opens opportunities to specialize in NLP, computer vision, or conversational AI.

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

    We offer 24/7 support through chat for urgent issues. For other queries, we have a dedicated team that offers email assistance and callbacks on request.

  • Does Simplilearn have corporate training solutions?

    Simplilearn for Business works with Fortune 500 and mid-sized companies to provide their workforce with digital skills solutions for talent development. We offer diverse corporate training solutions, from short skill-based certification training to role-based learning paths. We also offer Simplilearn Learning Hub+ - a learning library with unlimited live and interactive solutions for the entire organization. Our curriculum consultants work with each client to select and deploy the learning solutions that best meet their teams’ needs and objectives.

  • Will missing a live class affect my ability to complete the course?

    No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • Are there any other online courses Simplilearn offers under AI & Machine Learning?

    Yes, Simplilearn offers several other online courses under AI & Machine Learning. These include specialized certifications, master programs, and post-graduate courses tailored to different skill levels. Simplilearn greatly emphasizes upskilling and boosting career opportunities across industry sectors, with each course designed to help learners enhance their expertise in AI & Machine Learning.

    Similar programs that we offer under AI & Machine Learning

  • What is the refund policy for this Azure AI course?

    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.

  • Is AI-102 certification worth it?

    The AI-102 certification is valuable for professionals specializing in AI and Azure AI services. Getting AI-102 certification training from Simplilearn demonstrates expertise in designing and implementing AI solutions, covering areas like ML, computer vision, and NLP. With the growing demand for AI skills, this certification can enhance your career prospects, making you more competitive in roles like AI engineer or Azure AI developer.

  • What are the prerequisites for the AI-102 exam?

    To enroll for the AI-102 exam, you must have a basic understanding of Azure AI services and experience using them to build AI solutions. While formal prerequisites aren't required, having prior Azure certifications like AZ-900 (Azure Fundamentals) can be beneficial. Simplilearn’s Azure AI certification training prepares learners for the exam with its industry-relevant curriculum, assignments, and capstone projects.

  • How do I become an Azure AI engineer?

    To become an Azure AI engineer, you must start by building a strong foundation in programming, particularly in languages like Python and C#. However, since learning Azure and AI alone can be taxing, it is better to go for certification training. Enrolling in Simplilearn’s Azure AI Engineer certification training program will help you learn the fundamentals of AI, ML, and cloud computing, focusing on Microsoft Azure’s AI and cognitive services. This course offers practical experience with Azure tools, data science workflows, and deploying AI models.

  • Which companies hire AI Engineers?

    AI engineers are in high demand globally across various industries, including technology, finance, healthcare, and retail. Major tech firms like Google, Microsoft, Amazon, and IBM actively hire AI engineers to develop their AI solutions. Financial institutions like JPMorgan Chase and Goldman Sachs seek AI talent for automating processes and improving data analytics. AI engineers are also employed by healthcare companies like Philips and GE Healthcare and automobile companies like Tesla and BMW to enhance their products and services.

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