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Mastering Azure AI SDKs & REST APIs: Build, Extend, and Automate Intelligent AI Agents That Scale with Confidence
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Publisher: Independently Published
Published: Nov 30 2025
Pages: 178
Weight: 0.70
Height: 0.38 Width: 7.00 Depth: 10.00
Language: English
Mastering Azure AI SDKs & REST APIs: Build, Extend, and Automate Intelligent AI Agents That Scale with Confidence
Every developer today faces the same pressure: deliver smarter applications, integrate AI responsibly, and keep systems scalable as demands grow. Yet turning Azure's powerful AI stack into production-ready solutions often feels harder than it should be. How do you stitch together Vision, Language, Speech, Search, and Azure OpenAI into systems that perform reliably under real load? And how do you build agents that automate work instead of creating more of it?
Mastering Azure AI SDKs & REST APIs answers those questions directly. This book shows you how to build intelligent AI agents and automated workflows using the exact tools Microsoft ships for production, SDKs, REST APIs, managed identities, private networking, and real deployment patterns. You'll move beyond experiments and into proven architectures that scale with confidence.
You'll learn how to design and implement agents that use multiple Azure AI services together, call custom or fine-tuned models, integrate with enterprise data through Azure AI Search, process documents at scale, enable real-time speech interaction, and expose everything through secure, versioned APIs. Each chapter gives you practical techniques rooted in real engineering: authentication, cost control, latency reduction, monitoring, multi-region setups, and model lifecycle planning.
By the end, you'll know how to build intelligent applications that behave predictably, perform efficiently, and evolve without breaking.
The skills you'll gain include:
Building and extending AI agents using Azure OpenAI, Speech, Vision, Language, and Search
Designing SDK-driven and REST-driven integrations that are secure, resilient, and scalable
Automating document processing pipelines with real-world REST patterns
Creating voice-enabled multi-modal agents with conversational context and custom models
Implementing reliable architectures with API gateways, microservices, versioning, and monitoring
Applying cost-, latency-, and reliability-focused engineering practices that hold up in production
If you're ready to build intelligent AI systems that don't collapse under pressure, this book is your blueprint.
Start reading today and build AI agents your business can depend on.
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