This course prepares developers and AI engineers to design and implement AI solutions on Microsoft Azure while preparing for the AI-102 Designing and Implementing a Microsoft Azure AI Solution certification.
Modern applications increasingly rely on artificial intelligence to understand language, analyze images, generate content, and automate complex workflows. In this course, you will learn how to build intelligent applications using Azure AI services, including Azure OpenAI Service, Azure AI Vision, Azure AI Language, and Azure AI Speech.
You will start by understanding Azure AI services architecture and how to provision and interact with these services using REST APIs and SDKs. The course then explores OpenAI models in Azure, including prompt execution and application integration.
You will also work with the Azure AI Foundry platform, where you will learn how to create AI projects, deploy models, and build applications that connect AI resources and services.
The course then covers real-world AI workloads such as computer vision, natural language processing, speech recognition, and knowledge mining using Azure AI Search. You will also explore modern AI application architectures including agent-based AI systems and orchestration frameworks like Semantic Kernel.
By the end of this course, you will be able to design and implement production-ready AI solutions on Azure, making it ideal for developers preparing for the AI-102 certification and professionals building enterprise AI applications.
