C# & AI Masterclass: Building AI Web APIs with ASP.NET Core. Serving Models and Chat Endpoints

Unlock the Future of Application Development by Mastering AI Backend APIs with ASP.NET Core!

The AI revolution is here, but powerful models are useless without robust, scalable, and secure backend infrastructure to serve them. This book is the definitive guide for experienced .NET developers looking to bridge the gap between traditional web development and the high-performance demands of modern AI applications. Move beyond simple CRUD APIs and learn to build the backbone of the next generation of intelligent software.

Written for production-focused engineers, this comprehensive volume deconstructs every critical component of an enterprise-grade AI Web API. You will progress from foundational architectural decisions to advanced real-time communication patterns, culminating in the creation of a complete backend for a ChatGPT-clone.

Inside, you will master:

• High-Performance Architecture: Learn to choose between Controllers and Minimal APIs and leverage Dependency Injection to manage the lifecycle of heavy AI models, preventing costly memory leaks and performance bottlenecks.
• Real-Time Streaming: Build incredibly responsive user experiences by streaming LLM tokens and audio data with Server-Sent Events (SSE), SignalR, and low-level WebSockets.
• Efficient Microservices Communication: Supercharge your internal service communication by replacing slow REST/JSON calls with high-throughput gRPC and Protocol Buffers.
• Production-Grade Resilience: Fortify your application against network failures and API outages by implementing essential resilience patterns like Retries and Circuit Breakers with Polly.
• Security & Cost Control: Secure your endpoints with JWTs and API Keys, manage costs with intelligent Hybrid Caching, and protect your resources from abuse with sophisticated, policy-based Rate Limiting.
• Complete Observability: Instrument your entire application with OpenTelemetry to gain deep insights into traces, metrics, and structured logs, making it easy to diagnose latency and errors in a distributed system.
• OpenAI Compatibility: Learn to create OpenAI-compatible plugin specifications, allowing your API to be seamlessly integrated into the broader AI ecosystem.

This is not a theoretical overview; it is a practical, hands-on guide packed with code examples, architectural diagrams, and best practices forged in real-world scenarios. By the time you finish this book, you will have the skills and confidence to design, build, and deploy AI backend APIs that are not only intelligent but also scalable, secure, and resilient.

Stop just using AI—start building the platforms that power it. Grab your copy and become a leader in the new era of software development!

Check also the other books in this series