Go beyond learning Azure AI services to build the architectural decision making skills needed to design, evaluate, secure, and govern enterprise AI solutions. Using Microsoft Foundry, Azure OpenAI Service, and the Azure AI portfolio, you’ll work with RAG pipelines, agentic workflows, NLP, speech, vision, and knowledge mining.
Designed for cloud architects, AI engineers, software developers, and technical consultants, this program prepares learners to target Azure AI Solutions Architect and AI Solutions Architect roles while supporting select skills covered in Microsoft Exam AZ 305.
Through real world scenarios in financial services, healthcare, legal, and enterprise IT, you’ll apply structured decision frameworks to select services, model costs, configure security, enforce governance, and operationalize AI at scale. Four architecture projects help you build portfolio ready diagrams, design specifications, and solution documents.
By the end, you’ll be equipped to lead AI architecture conversations, evaluate design tradeoffs, and deliver enterprise solutions that meet performance, compliance, and safety requirements.
Applied Learning Project
Complete four architecture projects—one per long course—that mirror the work of a practicing Azure AI Solutions Architect. Projects include designing a Foundry workspace for a multinational enterprise, architecting a RAG solution for a 50,000-document knowledge base, building a cognitive and knowledge services architecture for an insurance claims platform, and designing a complete end-to-end agentic AI solution with security, governance, and observability. Each project produces a portfolio-ready architecture document, diagram, or design specification you can showcase to employers and clients.
