Azure AI Foundry - Project Driven Learning for AI on Cloud

About this course

Unlock the power of Artificial Intelligence in the cloud with this comprehensive, project-based tutorial on AI Development with Microsoft Azure AI Foundry. Whether you're an aspiring AI engineer, cloud developer, or a professional looking to upskill, this course will guide you through building, deploying, and managing real-world AI solutions end-to-end.

In this hands-on learning experience, you’ll explore the full Azure AI ecosystem and learn how to transform ideas into production-ready AI applications.

What You Will Learn:

• End-to-End AI Solution Development — From ideation to deployment, monitoring, and lifecycle management.
• Navigating Azure AI Foundry — Master the platform’s interface, tools, and capabilities including Hubs, Projects, and the Management Centre.
• RAG (Retrieval-Augmented Generation) — Build intelligent solutions that blend LLMs with enterprise data for improved accuracy.
• Azure AI Agents — Learn configuration, deployment, handoff workflows, and agent management best practices.
• Model Deployment & Endpoint Integration — Configure and deploy AI models, access them via endpoints, and test them in the Azure Playground.
• Monitoring, Tracing & Observability — Track model performance, diagnose issues, and ensure operational excellence post-deployment.
• Azure AI Services — Deep dive into Speech, Text-to-Speech, Vision, Document Intelligence, and Translation services.
• Safety, Security & Responsible AI — Apply responsible AI principles and implement guardrails to build secure, ethical AI applications.
• AI Model Segregation — Organize models by industry, capability, license, and provider for optimized solution design.
• Cost Planning & Optimization — Understand pricing, consumption, and cost considerations for scalable A

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