Designing and Implementing an Azure AI Solution (AI-102)

About this course

This course is your complete guide to building AI solutions on Microsoft Azure. You'll master Azure Cognitive Services, integrate OpenAI models, and deploy real applications using Computer Vision, Language, and Speech capabilities. Taught by Microsoft, this is the official preparation for the AI-102 certification—trusted by enterprises worldwide.

What you'll learn

• Set up and configure Azure AI services, including authentication, endpoints, and resource management
• Build Computer Vision applications for image analysis, OCR, and object detection
• Create Language Understanding solutions using Azure Cognitive Service for Language (formerly LUIS)
• Develop speech recognition and text-to-speech applications for voice-enabled systems
• Integrate OpenAI and Azure OpenAI APIs into production applications
• Implement responsible AI practices and monitor model performance in real-world scenarios
• Deploy containerized AI solutions and troubleshoot common Azure AI deployment issues

Who this is for

You should take this course if you're ready to move beyond basic AI concepts and build production-grade applications. Whether you're pivoting into AI engineering, deepening your cloud skills, or preparing for Azure certification, this course gives you hands-on expertise.

• Software developers — transition from general coding to building intelligent applications with Azure's AI stack
• Cloud engineers — add AI service architecture and deployment to your Azure skillset
• Data scientists and ML engineers — learn how to operationalize models using enterprise tools like Azure OpenAI
• AI enthusiasts pursuing certifications — get official Microsoft training to pass the AI-102 exam with confidence

Prerequisites

You'll need a solid foundation in software development (at least 1–2 years of professional experience) and basic familiarity with cloud platforms. Some experience with Python or C# is helpful. If you're brand new to Azure, spend a week on Azure fundamentals first.

Why this matters for Indian learners

India's AI job market is growing fast—companies like TCS, Infosys, HCL, and startups in Bangalore and Pune are actively hiring Azure AI engineers. Azure certifications command premium salaries (₹15–30 LPA range for mid-level roles) and open doors to global remote opportunities. This course directly maps to employer demands, especially in fintech, healthcare tech, and e-commerce where AI is reshaping operations.

Frequently asked questions

Is this course really free?

Yes. Microsoft Learn hosting is completely free—no hidden charges, no paywall for content. You can audit the entire course at no cost.

How long will it take to complete?

The course is structured for 40 hours of learning. If you dedicate 8–10 hours per week, you'll finish in 4–5 weeks. Go slower if you want to build projects alongside the lessons.

Will I get a certificate?

Yes. Completing the course and passing the AI-102 exam earns you a Microsoft Certified: Azure AI Engineer Associate credential—a recognized qualification that carries real weight with employers.