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Designing and Implementing Microsoft Azure AI Solutions (AI-102 ) Course in Dubai

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Edoxi’s 32-hour Designing and Implementing Microsoft Azure AI Solutions (AI-102) course in Dubai helps you master generative AI, NLP, and computer vision using Azure AI services. You gain hands-on skills to design, build, and deploy real AI solutions and prepare confidently for your AI-102 certification. Start your Azure AI journey with us. Enrol now!
Course Duration
32 Hours
Corporate Days
4 Days
Learners Enrolled
100+
Modules
7
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Course Rating
5
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Mode of Delivery
Online
Classroom
Certification by

What Do You Learn from Edoxi's Designing and Implementing Microsoft Azure AI Solutions (AI-102 ) Training

Develop Generative AI Applications
You learn to implement Azure OpenAI solutions, apply prompt engineering, and build Retrieval Augmented Generation (RAG) systems that strengthen your AI outputs.
Develop AI Agents on Azure
You learn to create intelligent AI agents that interact with users, perform tasks autonomously, and integrate smoothly with Azure services to enhance functionality.
Create Natural Language Processing Solutions
You learn to build language understanding models, design question-answering systems, and apply Azure Cognitive Services for practical text analysis tasks.
Implement Computer Vision Solutions
You learn to design image classification systems, develop text recognition applications, and create custom vision models for real business needs.
Design AI Information Extraction Systems
You learn to build custom skills for Azure AI Search and develop automated form-processing solutions that extract data efficiently from documents.
Deploy and Optimise AI Models
You learn to use MLOps practices to deploy and manage AI models, and optimise performance using Azure Kubernetes Service (AKS) and TensorFlow integrations.

About Our Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course in Dubai

Edoxi’s 32-hour Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course in Dubai gives you the practical skills to design, build, and deploy AI solutions using Microsoft Azure. If you want to advance your AI engineering capabilities, strengthen your cloud skills, or grow your career in Dubai’s rapidly evolving tech landscape, this AI-102 training helps you gain hands-on experience with real Azure AI tools.

During this Designing and Implementing Microsoft Azure AI Solutions training, you explore generative AI, natural language processing, computer vision, AI agents, and information extraction systems. You learn to use Azure OpenAI, Azure Cognitive Services, Azure Machine Learning, and Databricks to solve real business problems across industries such as finance, healthcare, retail, and telecommunications. Our structured lessons help you understand exactly how Azure AI services work together so you can build scalable, enterprise-ready AI solutions.

This AI-102 course includes guided labs where you work directly with Azure portal environments, SDKs, APIs, and Azure AI Foundry. You gain practical experience developing AI models, deploying solutions, and applying MLOps practices using tools such as Azure Kubernetes Service. Each hands-on exercise strengthens your ability to build end-to-end AI applications that support real digital transformation needs in Dubai and beyond.

You also gain the foundational knowledge needed for the AI-102 certification exam, helping you advance your career with globally recognised credentials.

AI-102 Certification Exam Details
 
Exam Criteria Exam Deatials
Exam Code AI-102
Exam Name Azure AI Engineer - Associate
Duration 120 minutes
Number of Questions 40-60, Multiple Choice and Performance-based
Passing Score 700/1000
Fees $165 (approximately AED 606)
Certification Validity Valid unless Microsoft updates the certification
Recertification Typically required when major version changes occur
Exam Administration Authority Pearson VUE

Completing the Designing and Implementing Microsoft Azure AI Solutions certification training equips you with the confidence to take on professional roles such as AI Engineer, Cloud AI Architect, and Data Pipeline Developer.

Key Features of Edoxi's Designing and Implementing Microsoft Azure AI Solutions (AI-102) Training

Azure Portal Hands-On Labs

You can practise building and implementing AI solutions directly in real Azure environments, using our dedicated subscription access for smooth, practical learning.

Microsoft Official Study Materials

You can access trusted Microsoft-created resources that support your learning and strengthen your preparation for your Azure AI certification journey.

Exam-Focused Preparation

You can use structured practice tests and focused domain reviews that help you understand key AI-102 concepts with clarity and confidence.

Azure SDK Integration Practice

You learn to work with the Azure SDK to connect, customise, and enhance your AI solutions effectively across different Azure services.

Cognitive Services Implementation

You can explore Azure Cognitive Services and learn to create NLP models, computer vision solutions, and custom AI features tailored to real business needs.

AI Model Deployment Training

You can practise deploying, managing, and optimising your AI models using Azure Machine Learning and MLOps techniques for enterprise-ready solutions.

Who Can Join Our Azure AI-102 Course in Dubai?

Data Engineers

If you are working with data pipelines and want to support AI model implementation, you strengthen your ability to integrate Azure AI services into your workflows.

AI Developers

If you are developing intelligent applications using Python or cloud tools, you enhance your skills by learning how to build AI-driven solutions with Azure.

IT Professionals

If you are a technical specialist aiming to implement AI within enterprise environments, you gain practical skills to support your organisation’s AI initiatives.

Cloud Architects

If you are designing cloud solutions and want to embed AI capabilities into your infrastructure, you learn to create scalable architectures powered by Azure AI.

Business Analysts

If you are translating business needs into technical requirements, you learn how to apply Azure AI tools to create practical, insight-driven solutions for your company.

Career Switchers Exploring Cloud & AI Roles

If you are planning to transition into cloud, data, or AI-based careers, this course gives you an easy and beginner-friendly entry point into Microsoft Azure and artificial intelligence fundamentals.

AI-102 Course Modules

Module 1: Develop Generative AI Apps in Azure
  • Chapter 1.1: Plan and Prepare AI Solutions

    • Lesson 1.1.1: Planning AI solutions in Azure
    • Lesson 1.1.2: Preparing environments and resources for AI apps
  • Chapter 1.2: Choose and Deploy Models from Azure AI Foundry Catalog

    • Lesson 1.2.1: Overview of Azure AI Foundry catalog
    • Lesson 1.2.2: Selecting suitable models for applications
    • Lesson 1.2.3: Deploying models in Azure
  • Chapter 1.3: Build Applications Using Azure AI Foundry SDK

    • Lesson 1.3.1: Setting up Azure AI Foundry SDK
    • Lesson 1.3.2: Developing generative AI applications with SDK
  • Chapter 1.4: Use Prompt Flow for LLM-Based Applications

    • Lesson 1.4.1: Understanding prompt flow concepts
    • Lesson 1.4.2: Implementing prompt flow in applications
  • Chapter 1.5: Create Retrieval-Augmented Generation (RAG) Apps Using Own Data

    • Lesson 1.5.1: Introduction to Retrieval-Augmented Generation (RAG)
    • Lesson 1.5.2: Integrating own data into RAG applications
  • Chapter 1.6: Fine-Tune Language Models

    • Lesson 1.6.1: Concepts of fine-tuning
    • Lesson 1.6.2: Fine-tuning language models in Azure
  • Chapter 1.7: Implement Responsible AI with Content Filters

    • Lesson 1.7.1: Understanding responsible AI principles
    • Lesson 1.7.2: Implementing content filters for AI apps
  • Chapter 1.8: Evaluate Generative AI Performance

    • Lesson 1.8.1: Performance evaluation metrics for generative AI
    • Lesson 1.8.2: Tools and methods for evaluation
Module 2: Develop AI Agents on Azure
  • Chapter 2.1: Start Building AI Agents with Azure AI Foundry Agent Service

    • Lesson 2.1.1: Overview of Azure AI Foundry Agent Service
    • Lesson 2.1.2: Setting up and initiating agent development
  • Chapter 2.2: Integrate Custom Tools into Agents

    • Lesson 2.2.1: Understanding custom tools integration
    • Lesson 2.2.2: Integrating tools into AI agents
  • Chapter 2.3: Build Agents Using Semantic Kernel

    • Lesson 2.3.1: Introduction to Semantic Kernel
    • Lesson 2.3.2: Developing agents with Semantic Kernel
  • Chapter 2.4: Orchestrate Multi-Agent Solutions

    • Lesson 2.4.1: Concepts of multi-agent orchestration
    • Lesson 2.4.2: Building and managing multi-agent solutions
Module 3: Develop Natural Language Solutions in Azure
  • Chapter 3.1: Analyse Text with Azure AI Language

    • Lesson 3.1.1: Text analysis features and capabilities
    • Lesson 3.1.2: Implementing text analysis in applications
  • Chapter 3.2: Build Question-Answering Applications

    • Lesson 3.2.1: Creating knowledge bases for Q&A
    • Lesson 3.2.2: Developing question-answering solutions
  • Chapter 3.3: Create Conversational Language Understanding Models

    • Lesson 3.3.1: Overview of conversational language understanding
    • Lesson 3.3.2: Building and deploying CLU models
  • Chapter 3.4: Develop Custom Text Classification and Named Entity Recognition Models

    • Lesson 3.4.1: Custom text classification models
    • Lesson 3.4.2: Named entity recognition model development
  • Chapter 3.5: Translate Text and Speech Using Azure Translator and Speech Services

    • Lesson 3.5.1: Text translation implementation
    • Lesson 3.5.2: Speech translation implementation
  • Chapter 3.6: Build Audio-Enabled Generative AI Applications

    • Lesson 3.6.1: Integrating audio into generative AI apps
    • Lesson 3.6.2: Developing audio-enabled features
Module 4: Develop Computer Vision Solutions in Azure
  • Chapter 4.1: Analyse Images and Generate Smart Thumbnails

    • Lesson 4.1.1: Image analysis techniques
    • Lesson 4.1.2: Creating smart thumbnails
  • Chapter 4.2: Read Text in Images (OCR)

    • Lesson 4.2.1: Optical Character Recognition overview
    • Lesson 4.2.2: Implementing OCR in applications
  • Chapter 4.3: Detect, Analyse, and Recognise Faces

    • Lesson 4.3.1: Face detection and analysis
    • Lesson 4.3.2: Face recognition implementation
  • Chapter 4.4: Train Custom Image Classifiers and Object Detection Models

    • Lesson 4.4.1: Training image classification models
    • Lesson 4.4.2: Developing object detection models
  • Chapter 4.5: Analyse Video Content

    • Lesson 4.5.1: Video analysis capabilities in Azure
    • Lesson 4.5.2: Implementing video content analysis
  • Chapter 4.6: Build Vision-Enabled Generative AI Applications

    • Lesson 4.6.1: Developing vision-enabled generative AI solutions

Download Designing and Implementing Microsoft Azure AI Solutions (AI-102) Brochure

Hands-on Activities and Practical Sessions in Our Designing and Implementing Microsoft Azure AI Solutions Course in Dubai

Our AI-102 training gives you hands-on experience through guided labs using real Azure subscriptions. You work directly with the Azure portal, SDKs, and AI services so you understand exactly how to create and deploy practical AI solutions. Here are the major activities involved:

Get Started with Azure AI Services In this activity

learn to set up essential Azure AI resources and configure the foundational services needed for your AI development journey.

Classify Images with Azure AI Vision

learn to build custom vision models that perform automated image classification and tagging for real business use cases.

Analyse Text

learn to create text analysis solutions, including sentiment detection, key phrase extraction, and language identification.

Create a Question-Answering Solution

learn to implement smart QA systems using Azure AI services and structured knowledge sources.

Create a Language Understanding Model

learn to develop NLP applications that understand user intents and extract meaningful information.

Integrate Azure OpenAI in Your App

learn how to add generative AI features to your applications using Azure OpenAI for more intelligent user experiences.

Use Prompt Engineering Techniques

learn to craft effective prompts that help your AI models generate accurate and relevant responses.

Implement Retrieval Augmented Generation (RAG)

Enhance generative AI outputs by connecting them to contextual data from your chosen knowledge sources.

Designing and Implementing Microsoft Azure AI Solutions Course Outcomes and Career Opportunities in Dubai

Edoxi’s AI-102 certification training equips you with in-demand Azure AI engineering skills that prepare you for high-impact roles in today’s cloud-driven workplaces. By the end of the course, you step into the industry with the confidence to build, deploy, and manage intelligent AI solutions.

Course Outcome Image
You learn how to create intelligent solutions using Azure AI services to meet real enterprise needs.
You gain the practical skills to develop, evaluate, and deploy AI models across cloud environments.
You understand how to apply Azure AI tools to automate tasks and improve workflow efficiency.
You acquire hands-on experience using Azure Vision, Language, and OpenAI services in real projects.
You develop the ability to embed powerful AI capabilities into your applications using SDKs and APIs.
You learn to design solutions that follow ethical, compliant, and responsible AI guidelines.

Career Opportunities After the AI-102 Certification Course in Dubai

  • Azure AI Engineer
  • AI Engineer
  • Data Pipeline Developer
  • NLP Engineer
  • Machine Learning Operations (MLOps) Specialist
  • Analytics Solutions Engineer
  • Cloud AI Architect
  • AI Application Developer
  • Cognitive Services Developer
  • Azure OpenAI Solutions Specialist

Top Companies Hiring Azure AI Engineer-Certified Professionals in Dubai

  • Dicetek LLC
  • Oracle
  • Salt
  • Alibaba
  • myCloudDoor
  • Tether
  • Microsoft Partners & Consultancies
  • Emirates Group
  • Dubai Government Entities & Smart City Projects
  • Tech Startups across FinTech, Retail, and Logistics

Microsoft Azure AI Solutions (AI-102) Training Options

Classroom Training

  • 40 hours of in-centre practical learning.

  • Access your own hands-on Azure lab environment.

  • Get direct guidance from our certified instructors.

  • Engage in group tasks and real-world problem-solving.

Live Online Training

  • 40 hours of live, interactive online sessions.

  • Use remote Azure labs from anywhere.

  • Choose schedules that suit your routine.

  • Join real-time discussions and Q&A with your trainer.

  • Access recordings, resources, and study materials online.

Corporate Training

  • Custom training options starting from 4 days.

  • Customised curriculum designed to match your team’s project needs.

  • Fly-Me-a-Trainer- Bring our expert trainer to your preferred location.

  • Work on organisation-specific AI scenarios.

  • We manage venue, logistics, and arrangements.

  • Food and refreshments provided for corporate teams.

Do You Want a Customised Course for Designing and Implementing Microsoft Azure AI Solutions (AI-102)?

Get expert assistance in getting your Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course customised!

How to Get Certified in Designing and Implementing Microsoft Azure AI Solutions in Dubai?

Here’s a four-step guide to becoming a certified Designing and Implementing Microsoft Azure AI Solutions professional.

Do You Want to be a Certified Professional in Microsoft Azure AI Solutions (AI-102) Course

Join Edoxi’s Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course

Why Choose Edoxi for Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course in Dubai?

Choosing the right institute shapes your success in the AI-102 course, especially when you are preparing for advanced Azure AI roles in Dubai’s fast-growing tech environment. Here are the reasons to choose us: 

Expert Instruction from Certified Professionals

You learn from our Microsoft-certified trainers who bring strong industry experience. They can guide you through Designing and Implementing Microsoft Azure AI Solutions training with clarity and confidence.

Practical, Hands-On Learning Approach

You practise directly in the Azure portal through real lab exercises. This helps you understand every AI-102 concept through active, practical application in real scenarios.

Flexible Training Options for Every Learner

You can choose what suits your routine best—classroom training, live online learning, or personalised corporate sessions. This AI-102 training fits your schedule in Dubai.

Strong Corporate Training Portfolio

You can benefit from our experience training leading enterprises across the UAE, Middle East, Africa, and Europe. This gives your Designing and Implementing Microsoft Azure AI Solutions certification strong credibility in the job market.

Business-Focused Azure AI Learning

You can get both technical and practical business insights, as our AI-102 course focuses on real organisational use cases and aligns training to your role and workplace needs.

Dedicated Post-Training Support

You get continued guidance through doubt-clearing sessions, revision support, and exam preparation assistance to help you confidently achieve your certification.

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Edoxi is Recommended by 95% of our Students

Meet Our Mentor

Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!

mentor-image

Manish Rajpal

Manish is a passionate Corporate Trainer, AI Consultant, and Cloud Solutions Architect. He empowers clients across the globe to build and maintain highly available, resilient, scalable, and secure solutions, now with a growing emphasis on AI-powered architectures. With over 15,000 professionals trained, Manish specialises in technologies including Amazon Web Services, Microsoft Azure, Microsoft Copilot and GitHub Copilot and increasingly, AI and Machine Learning.

Manish has led research and workshops focused on integrating AI into cloud environments, exploring use cases like intelligent automation, natural language processing, and responsible AI practices.

FAQ

What is the Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course in Dubai offered by Edoxi?
Edoxi Training Institute offers the Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course in Dubai to help you master Azure AI services, generative AI, cognitive solutions, and practical AI deployment. Our training blends hands-on labs with expert guidance to prepare you for real-world Azure AI engineering.
How does Edoxi’s AI-102 training prepare me for the Microsoft AI-102 certification exam?
Our Designing and Implementing Microsoft Azure AI Solutions training follows Microsoft’s official curriculum, exam domains, and practical requirements. You practise real scenarios using Azure AI services, giving you confidence to handle every exam topic through hands-on implementation.
What are the prerequisites for joining the Designing and Implementing Microsoft Azure AI Solutions (AI-102) Training in Dubai?
You can join the AI-102 course if you have basic knowledge of Python or C#, experience working with APIs, and a foundational understanding of cloud concepts. If you are new to Azure, our trainers support you with essential pre-learning resources.
Can I access Azure resources for hands-on practice during the AI-102 course?
Yes, you receive dedicated Azure subscription access throughout your Designing and Implementing Microsoft Azure AI Solutions training. You use the real Azure portal, SDKs, and AI services to practise every concept in a practical environment.
Do I need to take the AI-102 certification exam immediately after completing the course?
No, you can schedule your AI-102 certification exam at any time through Pearson VUE. Edoxi prepares you thoroughly, so you attempt the exam only when you feel confident.
What career opportunities can I explore after completing the Designing and Implementing Microsoft Azure AI Solutions (AI-102) Certification in Dubai?
Completing the AI-102 certification opens pathways to roles such as AI Engineer, Azure AI Engineer, Cloud AI Architect, Analytics Solutions Engineer, and Data Pipeline Developer. Dubai’s AI-driven organisations actively seek professionals skilled in Azure AI implementation.
What is the average salary for AI-102 certified professionals in Dubai?
AI-102 certified professionals in Dubai earn an average salary of AED 18,000 to AED 28,000 per month, depending on experience, industry, and project expertise. Your earning potential grows significantly as you gain hands-on Azure AI implementation experience.
Is this Designing and Implementing Microsoft Azure AI Solutions course suitable for data scientists?
Yes, this course supports data scientists who want to deploy, manage, and operationalise AI models in Azure. You strengthen your ability to build end-to-end AI solutions using Microsoft Azure AI tools.
Does Edoxi cover Azure OpenAI integration in the AI-102 training?
Yes, our Designing and Implementing Microsoft Azure AI Solutions training includes Azure OpenAI modules. You learn prompt engineering, generative AI integration, and secure deployment methods to build advanced AI-driven applications.
How hands-on is the Designing and Implementing Microsoft Azure AI Solutions (AI-102) Training in Dubai?
The course is highly practical, giving you hands-on experience with Cognitive Services, Azure Machine Learning, Vision AI, Language Services, and custom model deployments. Every module includes guided lab activities.