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Azure AI Training for Developers (AI-102)

Azure AI Training for Developers (AI-102)

Azure AI Training for Developers (AI-102) course focuses on the comprehensive development of intelligent solutions using Azure AI services, including Azure AI Vision, Azure AI Language, Azure AI Search, Azure AI Document Intelligence, and Generative AI with Azure OpenAI. Participants learn how to select the right services, integrate them into applications using SDKs and REST APIs, and deploy scalable, secure AI workloads on Azure. Azure AI Training for Developers (AI-102) course places strong emphasis on real-world engineering skills. You will learn how to plan and manage AI solutions, evaluate model performance, apply content moderation, and integrate AI capabilities into existing applications.

 

This course is aligned with the Microsoft’s role-based certification, this Azure AI Training prepares participants for the Microsoft Certified: Azure AI Engineer Associate credential. It is ideal for professionals who want to move beyond experimentation and confidently build AI-powered applications that deliver measurable business value. By the end of this course, learners will be able to:

 
  • Design, build, and deploy AI solutions using Azure AI services
  • Implement natural language, computer vision, and document intelligence solutions
  • Develop generative AI applications using Azure OpenAI and RAG patterns
  • Apply responsible AI, security, and monitoring best practices
  • Prepare confidently for the AI-102 Azure AI Training and certification
Advance Your Skills with Flexmind (Microsoft Partner)

Who should attend the AI-102 – Develop AI solutions in Azure course?

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For Professionals

AI-102: Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services.

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For Businesses

This course is ideal for organizations looking to upskill employees with the knowledge required to build AI infused applications that leverage Microsoft Foundry and other Azure AI services.

Prerequisites for the "AI-102 – Develop AI solutions in Azure" Certification Course

Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of programming (preferably Python or C#)
  • Familiarity with JSON and REST programming semantics

Key Features of Flexmind's AI-102 – Develop AI solutions in Azure Training

Flexmind provides this training in both online and offline modes in a comprehensive manner. It is designed in line with the latest exam requirements. The key features of this training are as follows:

5 Day · 40 Hours
Microsoft Certified Trainer
Official Courseware
Courseware Life Time Free Upgrade
Applied Workshop

Course Duration

The course has a total duration of 40 hours and is completed over 5 days.

Instructor-Led Training

Flexmind chooses a Microsoft Certified Trainer with experience delivering Business Central training courses to conduct this training.

Microsoft Official Courseware

The program is delivered by Flexmind using Microsoft Courseware. You’ll work through study material, labs and applied workshops. The instructor guides you throughout the learning journey.

Applied Workshop

The applied workshop will take place on the final day of the course. It will help you practice the skills that you’ve learned. Here, learners are provided with options for scenarios from which they can pick the one they want to build. They will be required to create their own solution to the stated problem and any required automation.

Course Completion Certificate


A certification is awarded at the end of the course. This validates skills gained and adds credibility to your resume.

Course Outline - AI-102-Designing and Implementing a Microsoft Azure AI Solution

Module 1: Develop generative AI apps in Azure

  • Plan and prepare to develop AI solutions on Azure
  • Choose and deploy models from the model catalog
  • Develop an AI app with the Microsoft Foundry SDK
  • Develop a RAG-based solution with your own data using Microsoft Foundry
  • Fine-tune a language model with Microsoft Foundry
  • Implement a responsible generative AI solution in Microsoft Foundry
  • Evaluate generative AI performance in Microsoft Foundry portal

Module 2: Develop AI Agents on Azure

  • Get started with AI agent development on Azure
  • Develop an AI agent with Foundry Agent Service
  • Integrate custom tools into your agent
  • Develop a multi-agent solution with Foundry Agent Service
  • Integrate MCP Tools with Foundry Agents
  • Develop AI agents with the Microsoft Agent Framework

Module 3: Develop natural language solutions in Azure​

  • Analyze text
  • Conversational understanding and question answering
  • Custom classification and named entity extraction
  • Speech recognition and synthesis
  • Translation
  • Audio enabled generative AI app

Module 4: Develop Computer Vision solutions in Azure

  • Analyze images
  • Read text in images
  • Detect, analyze, and recognize faces
  • Classify images and detect objects
  • Develop a vision-enabled generative AI application
  • Generate images with AI

Module 5: Develop AI information extraction solutions in Azure

  • Create a multimodal analysis solution with Azure Content Understanding
  • Create an Azure Content Understanding client application
  • Extract form data with Azure Document Intelligence prebuilt models
  • Extract form data with Azure Document Intelligence custom models
  • Create a knowledge mining solution with Azure AI Search
Class Schedule

Instructor‑Led Training

  • 40 Hours of Instructor‑Led Training
  • One‑to‑one doubt‑resolution sessions
  • Microsoft Official Lab Access

Learning Objectives - AI-102-Designing and Implementing a Microsoft Azure AI Solution

After completing this course, students will be able to:


  • Develop generative AI apps in Azure
  • Develop AI Agents in Azure
  • Develop natural language solutions in Azure
  • Develop computer vision solutions in Azure
  • Develop AI information extraction solutions in Azure

About AI-102 Exam


To help you understand the assessment better, here are a few important details about the exam.


Exam Name Microsoft Certified: Azure AI Engineer Associate
Who can Apply Appropriate for Developers
Duration of Exam Between 100 to 120 minutes
Fees Rs. 4,865 (India), $165 USD (United States)
Level of Difficulty Intermediate
Type of Credential Microsoft Certification
Languages English, Japanese, Chinese (Simplified), German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia)
Exam Retake Exam retake allowed after 24 hours
Quality Check during Assessment The online exam is proctored

The table below represents the weightage of each study area in the exam. Areas with higher percentages are expected to have more questions.

Study Area Percentage
Plan and manage an Azure AI solution 20-25%
Implement generative AI solutions 15-20%
Implement an agentic solution 5-10%
Implement computer vision solutions 10-15%
Implement natural language processing solutions 15-20%
Implement knowledge mining and information extraction solutions 15-20%
Reviews

FAQ's About AI-102-Designing and Implementing a Microsoft Azure AI Solution Course

AI‑102 is a hands‑on, role‑based course for engineers who design, build, manage, and deploy AI solutions using Microsoft Azure AI services, such as Azure Cognitive Services, Azure OpenAI, Responsible AI principles, and AI‑powered applications. It prepares learners to implement end‑to‑end AI solutions, including natural language processing, computer vision, knowledge mining, and conversational AI.

This course is ideal for:

  • AI Engineers, Cloud Developers, and Data Engineers
  • Solution Architects working on intelligent applications
  • Professionals building AI driven systems using Azure AI services
  • Developers transitioning into AI solution design
  • User experience leads with technical background
Learners should be familiar with Azure fundamentals, Python, and REST APIs.

By the end of this course, you will be able to:

  • Build, train, and deploy AI models on Azure
  • Integrate Azure Cognitive Services (Vision, Language, Speech, Decision) into apps
  • Implement Azure AI Studio, Azure Machine Learning, and Azure OpenAI workflows
  • Build Conversational AI with Azure Bot Service
  • Apply Responsible AI principles (safety, fairness, transparency)

Participants should have:

  • Experience developing applications using Python or C#
  • Familiarity with REST APIs and JSON
  • An understanding of Azure fundamentals and cloud concepts
  • (Recommended) Completion of AI‑900 or practical experience with Azure AI ecosystem

A 5‑day (40‑hour) program that can be customized to match your learning needs.

Yes. The curriculum aligns directly with the Microsoft Certified: Azure AI Engineer Associate exam (AI-102). The exam validates your ability to:

  • Plan and manage Azure AI solutions
  • Build vision, speech, and language pipelines
  • Create conversational AI apps
  • Implement Responsible AI and monitor deployed models
  • A passing score of 700 is required.

After completing the course, you can pursue roles such as:

  • Azure AI Engineer
  • AI Application Developer
  • Cognitive Services Developer
  • Conversational AI Engineer
  • ML Engineer working with applied AI workloads
These roles bridge AI technologies with business applications using Microsoft cloud tools.

Yes. Learners get access to:

  • Microsoft Official Lab exercises
  • Real Azure environments
  • Scenario‑based exercises such as building AI‑enabled apps, calling AI APIs, and deploying models

The exam includes:

  • Multiple choice & multi-select
  • Case studies
  • Drag and drop workflows
  • Scenario‑based architecture questions


  • AI-900 is foundational and conceptual.
  • AI-102 is advanced and hands‑on, requiring real development skills and applied AI engineering abilities. AI-102 is the certification required for becoming an Azure AI Engineer.
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