Getting Started with Generative AI in Azure

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Getting Started with Generative AI in Azure

Coursera · Intermediate ·🛡️ AI Safety & Ethics ·1mo ago

Key Takeaways

Introduces generative AI in Azure for building AI-powered applications

Original Description

Generative AI is reshaping how software is built. This course gives you a practical, end-to-end introduction to building AI-powered applications using Microsoft Azure AI Foundry—one of the most widely used enterprise AI platforms available today. You'll start with the concepts that matter: what generative AI is, how it differs from other AI approaches, and how modern AI architectures evolved. From there, you move directly into Azure AI Foundry, where you'll set up your environment, run experiments with different models, and learn to adjust parameters to shape model behavior. The heart of this course is a hands-on project: you'll design, build, and refine a working text generation application. You'll integrate an Azure AI model into a real backend, apply prompt engineering techniques, and explore model fine-tuning to improve performance. The final module ensures your application is production-ready by covering responsible AI. You'll identify risks like bias and harmful outputs, implement Azure's built-in content filters, and add prompt injection defenses. You'll finish the course with a complete, documented application that demonstrates both technical skill and ethical judgment. Who this is for: Developers, cloud professionals, and tech enthusiasts who want hands-on experience building generative AI applications. Basic programming familiarity is helpful but not required.
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