This course provides a comprehensive introduction to designing and implementing artificial intelligence solutions using Microsoft Azure, aligned directly to the AI-102: Designing and Implementing an Azure AI Solution certification exam.
You’ll develop a strong understanding of how to design, implement, secure, and monitor Azure AI solutions using Azure’s AI services. The course covers core AI workloads—including computer vision, natural language processing, knowledge mining, conversational AI, and generative AI—while emphasizing real-world architecture decisions and service selection.
Throughout the course, you’ll learn how custom AI models are trained, evaluated, and deployed, how multiple Azure AI services are combined into end-to-end solutions, and how responsible AI, content safety, and security best practices are applied in production scenarios. Special attention is given to authentication methods, access control, monitoring, and lifecycle management, ensuring you understand not just what Azure AI services do, but how they are used in real enterprise environments.
In addition to building technical understanding, this course is designed to help you confidently pass the Microsoft AI-102 certification exam. You’ll learn how to analyze scenario-based exam questions, identify the correct Azure AI service for a given problem, and avoid common exam pitfalls. By the end of the course, you’ll be prepared with the knowledge and decision-making skills required to design Azure AI solutions and succeed on the AI-102 exam.
Check out the first section for free, to see if you love it!
