Build practical generative and agentic AI development skills using Microsoft Azure and Azure AI Foundry. This specialization guides you through the modern AI application lifecycle, from understanding Large Language Models (LLMs) to building intelligent AI agents and automated workflows for real-world use cases.
You'll begin with the foundations of generative AI, prompt engineering, and LLM interactions in Azure. As you progress, you'll build Retrieval-Augmented Generation (RAG) pipelines, fine-tune models for domain-specific applications, and deploy scalable AI-powered solutions. The specialization also introduces AI agent development with Azure AI Foundry, where you'll design, configure, and test intelligent agents for customer and healthcare scenarios while integrating language, translation, speech, search, and vision capabilities.
Through hands-on projects, you'll move from visual development tools to programmatic orchestration using Azure Functions, APIs, and Logic Apps, and learn testing strategies, deployment workflows, and enterprise AI automation techniques.
By the end, you'll be able to build context-aware AI systems, orchestrate intelligent workflows, integrate external tools and APIs, and develop production-ready generative AI applications within the Microsoft ecosystem.
This specialization is designed for developers and technical professionals who want to expand their AI development skills using Microsoft Azure technologies.
Applied Learning Project
Throughout this specialization, you will complete hands-on projects that simulate modern AI development workflows using Microsoft Azure and Azure AI Foundry.
Projects include building prompt-engineered generative AI applications, creating Retrieval-Augmented Generation (RAG) pipelines connected to external knowledge sources, and customizing model behavior through fine-tuning.
You will also develop intelligent AI agents for real-world scenarios such as hotel information assistants and healthcare-focused AI systems, integrating Azure AI services including search, translation, speech, and sentiment analysis.
Advanced projects cover workflow orchestration using Azure Functions and Logic Apps, API integrations, testing strategies, deployment workflows, and enterprise automation scenarios.
By the end, you will have portfolio-ready projects demonstrating AI application architecture, intelligent automation, and production AI deployment skills.
