A premium, complete course on advanced LLM integration in production applications, updated for 2026. Covers LLM API fundamentals (Anthropic, OpenAI, Google), integration architectures and patterns (Gateway, Queue-Based, Sidecar), streaming with SSE and Time to First Token, advanced error handling (exponential backoff, circuit breaker, graceful degradation), function calling and tool use (hands-on OpenAI and Anthropic implementations), multi-tool orchestration with the ReAct pattern, Model Context Protocol (MCP) — building and consuming custom servers, multi-model orchestration with intelligent routing (static, dynamic, cost-aware), multi-provider fallback and load balancing, cost optimization (model tiering, prompt caching, Batch API), productionization (exact and semantic caching, rate limiting, throttling, cost governance), full observability (structured logging, metrics, distributed tracing with OpenTelemetry, Langfuse, LLM-as-a-Judge), security (prompt injection, guardrails, output validation), compliance (GDPR, EU AI Act, consumer protection), 2026 advanced capabilities (extended thinking, reasoning models, structured outputs, multimodal vision and audio integration), plus complete hands-on projects.
The course has 9 modules and 24 lessons, with 241 quiz questions. The full curriculum, module by module, is shown on the course page.