AI-102 Designing and Implementing a Microsoft Azure AI Solution

Course Price

Original price was: $1,999.00.Current price is: $1,499.00.

26% OFF. Expires in

ADD TO CART

AI-102: Designing and Implementing a Microsoft Azure AI Solution

AI-102: Designing and Implementing a Microsoft Azure AI Solution

Welcome to AI-102: Designing and Implementing a Microsoft Azure AI Solution course will teach you how to design and implement an Azure AI solution. The primary audience for this course is application developers seeking to include Azure AI functionality in their applications. Although most Azure AI services can be used with web studios, to use the APIs and SDKs effectively, a basic knowledge of Microsoft C# or Python is recommended.



AI-102 includes hands-on activities in which you will use C# or Python to develop AI applications. In this course, you will learn how to develop solution using Azure AI Services. Topics covered include natural language understanding, computer vision, document intelligence and generative AI. Specifically, you’ll learn how to 1. Provision Azure resources and use the service studios 2. Train and customize various Azure AI models 3. Use APIs and SDKs to consume models from client applications.



This course will build on these topics with hands-on lab learnings and Knowledge Check questions.

Advance Your Skills with Flexmind (Microsoft Partner)

Who is this AI-102 Program for?

Professionals Icon

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.

Businesses Icon

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: Designing and Implementing a Microsoft Azure AI Solution” 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 AI-102 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

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

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%

How do our AI-102-Designing and Implementing a Microsoft Azure AI Solution Course Work?

Your Roadmap to become successful

Learn Live Classes • Self-Paced

Upskill yourself by gaining insights from leading professionals' vast experience.

Practice

Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.

Ask

Resolve your queries from industry experts with our dedicated one-to-one doubt-clearing sessions.

Build

Craft a diverse portfolio and appealing resume, and optimize LinkedIn to showcase your skills

Reviews

Dipak Agarwal - Business Analyst at Genpact

(5/5)
Excellent professional & comfortable environment to learn

The training was good, I would like to go through some more training.

Gurpreet Marwaha - IAM Analyst at National Australia Bank, Australia

(5/5)
I learned a lot

Excellent Office 365 training provided by Flexmind

Kiranmai Yachareni - Web Developer at Total Quality Logistics, USA

(5/5)
Excellent ability to clarify all the queries I raised

Thank You! I would definitely recommend it to others. The training session was very informative and interactive. Very useful and definitely thought-provoking. All the module sessions were clear and interactive, great, and friendly. Catered to all levels, which was good for those just starting out and those with more experience. I really appreciate the recorded videos and training material, which would be definitely helpful for later references.

Praveen S (Associate at Grant Thornton LLP)

(5/5)
Excellent knowledge of the trainer on the Subject

I attended PowerApps/Flow training from Flexmind. The topics of the course were well organized & knowledge of the trainer on the subject was excellent. It was very helpful and I will apply in my day to day task at the office. I will definitely recommend a friend or colleague to attend courses from Flexmind.

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.

Related Courses

Course Related Posts