Backend AI Services and APIs
Learn to build the backend services and APIs that take AI from prototype to production — handling inference, state, security, and scale. The engineering course for developers ready to make AI actually work in the real world.
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Episode 0: Backend AI Services & APIs- Introduction
Discover why most AI projects stall at the prototype stage — and the backend engineering patterns that get them to production.
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Episode 1: Backend AI Services in the AI Application Stack
Map the AI application stack and learn where backend services sit between models, agents, APIs, and infrastructure.
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Episode 2: Designing AI Inference & Orchestration Services
Design inference and orchestration services that wrap AI model calls in testable, reusable, production-grade components.
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Episode 3: AI APIs - REST, Async, and Event-Driven Patterns
Build AI-ready APIs using REST, streaming, and async patterns that handle long-running model inference without timing out.
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Episode 4: State, Memory, and Data Integration
Give your AI services memory — session state, conversation history, and vector store integration for context-aware responses.
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Episode 5: Security, Reliability, and Production Readiness
Secure AI endpoints with authentication, rate limiting, and prompt injection defense, then add resilience and observability.
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Episode 6: Preparing for Architecture & Deployment
Choose between monolith, microservices, and serverless deployment — then scale and multi-tenant your AI backend for growth.
