Edoxi’s 32-hour (4-day) Online Designing and Implementing Microsoft Azure AI Solutions course is designed for IT professionals and developers who want to specialise in cloud-based AI solutions. If you aspire to build intelligent applications in sectors such as healthcare, finance, telecom, or enterprise environments, this course equips you with the essential skills required to design and implement modern AI systems using Microsoft Azure. It helps you gain the technical knowledge needed to work confidently with Azure AI services and prepare for real-world AI engineering challenges.
Edox’s Designing and Implementing Microsoft Azure AI Solutions training delivers extensive hands-on experience through practical labs using Azure subscriptions. Through instructor-led sessions and structured lab exercises, you learn how to build generative AI applications and develop AI agents. You also learn to implement NLP and computer vision models and integrate Azure Cognitive Services into scalable solutions. These skills prepare you to apply AI capabilities effectively in workplace scenarios and strengthen your expertise in enterprise-level AI development.
Our AI-102 course also prepares you specifically for the official AI-102 certification exam. The curriculum is aligned with Microsoft’s exam objectives, helping you gain the competencies required to succeed in the certification. Here are the details of the AI-102 certification exam.
| Exam Criteria | Details |
| 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 |
Edoxi’s Designing and Implementing Microsoft Azure AI Solution certification empowers organisations by standardising AI development skills across technical teams. By the end of the course, companies benefit from enhanced automation capabilities, improved solution design efficiency, and stronger AI-driven workflows. Teams equipped with these skills can build intelligent systems faster, optimise business processes, and support advanced AI implementation across departments.
You can gain practical experience by working directly within the Azure portal, implementing real AI solutions using dedicated subscription access. You can also learn to configure, test, and deploy Azure-based AI components in a live cloud environment.
You can get access to Microsoft-approved learning resources that follow the official Azure AI curriculum. You can also learn through structured content designed to support professional certification and practical skills development.
You learn through targeted practice tests and topic-wise revision sessions aligned with the AI-102 exam objectives. You can also get clarity on the exam domains needed for successful certification.
You learn to work with Azure SDKs to build, extend, and customise AI applications. You can gain hands-on experience integrating AI services into software solutions with industry-standard development tools.
You learn to implement Azure Cognitive Services, including NLP, Computer Vision, and custom AI model capabilities. You also gain the ability to design intelligent applications for diverse business environments.
You learn to deploy, monitor, and optimise AI models using Azure Machine Learning and MLOps workflows. You can also develop the skills needed to manage end-to-end AI lifecycle operations efficiently.
Professionals experienced in building data pipelines for AI model implementation.
Programmers building intelligent applications using Python and cloud services.
Technical specialists seeking to implement AI within enterprise environments.
Solution designers integrating AI capabilities into broader cloud infrastructure.
Edoxi’s 4-day Designing and Implementing Microsoft Azure AI Solution Course provides hands-on lab sessions. Students work directly with the Azure portal, Azure SDK, and various AI services to develop real-world applications using Microsoft's cloud platform. Here are the major activities in the AI-102 course:
Implement foundational AI services in Azure and configure essential resources.
Build custom vision models for automated image classification and tagging.
Create solutions for sentiment analysis, key phrase extraction, and language detection.
Implement intelligent QA systems using Azure AI services and knowledge bases.
Develop NLP applications that interpret user intents and extract semantic meaning.
Incorporate powerful generative AI capabilities into custom applications.
Master techniques for optimising prompts to generate desired AI responses.
Enhance generative AI outputs with contextual information from specific knowledge sources.
Develop specialised search functionality with custom cognitive skills implementation.
Build automated solutions for processing documents and extracting structured data.
Pursuing Edoxi's AI-102 course provides a structured pathway to specialised cloud AI roles with significant growth potential. These positions are increasingly in demand as organisations across industries implement Azure-based AI solutions. Here are the major course outcomes:
Get expert assistance in getting your Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course customised!
Here’s a four-step guide to becoming a certified Designing and Implementing Microsoft Azure AI Solutions professional.
Join Edoxi’s Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course
Edoxi’s 32-hour AI-102 Course Training provides you with essential skills to design and implement AI solutions on Microsoft Azure. Here are the major reasons why professionals and organisations choose us for the AI-102 course Training:
Edoxi's trainers possess extensive Microsoft certifications and industry experience. Our instructors provide authoritative guidance through Azure training.
Our course emphasises learning by doing, guided practice in the Azure portal. You can get hands-on experience with every concept.
You may choose between our classroom sessions, live online training, or customised corporate training. Our flexible scheduling accommodates working professionals, with both group and individual instruction options available.
Edoxi has delivered training for leading companies and government entities in the Middle East, Africa and Europe in various subjects.
We emphasise not just technical aspects but also business applications of Azure. The customised corporate training is designed based on each client’s requirements.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
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.
Here are the major international locations where Edoxi offers Designing and Implementing Microsoft Azure AI Solutions (AI-102) Course
No prior Azure AI experience is required because Edoxi’s AI-102 course supports learners at all levels. Basic cloud knowledge and some programming exposure are helpful, especially for understanding core AI concepts effectively.
Edoxi’s AI-102 training follows Microsoft’s official curriculum and exam objectives, ensuring complete coverage of required skills. You also work on hands-on projects that reflect real exam scenarios to strengthen your practical readiness.
Yes. The course includes detailed modules on Azure OpenAI integration, covering prompt engineering, implementation techniques, and best practices for adding generative AI capabilities to applications.
Yes. All learners receive dedicated Azure subscription access during Edoxi’s 102-AI course. This allows you to practise every concept in a real cloud environment.
Edoxi's AI-102 training is highly hands-on. You will implement real Azure AI solutions, including NLP apps, cognitive services, and computer vision models.
No. You can book your certification exam anytime through Pearson VUE. The course equips you with the essential skills and practice you need to confidently pass the exam when ready.
Certified learners commonly pursue roles such as Azure AI Engineer, Cloud AI Architect, and Data Pipeline Developer. These roles are in high demand across industries adopting AI in Dubai and globally.
Yes. Data scientists gain valuable skills in deploying, integrating, and operationalising models on Azure, complementing their existing analytical capabilities.
Yes. Edoxi offers customisable corporate training solutions. We can tailor the 4-day programme to align with your organisation’s AI requirements and real use cases.
Expected Average Salary Range for Azure AI Engineer (AI-102 Certified) across many Azure-AI roles, USD 110,000–160,000 per year.
