Learning Path
LLM Systems Engineering
Production LLM architecture patterns: eval harnesses, RAG, gateways, prompt registries, routing, monitoring, and cost controls.
Best forBuilders responsible for reliable model-backed products.
OutcomeDesign the runtime systems that make LLM features measurable, safe, and operable.
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Intermediate 1 of 4
Eval Harness
The nervous system of every production LLM system
Intermediate 2 of 4
RAG + Reranking
Grounding LLMs in truth — the #1 production AI pattern
Intermediate 3 of 4
Prompt Registry
Version control for the soul of your LLM system
Intermediate 4 of 4
LLM Gateway
The intelligent traffic controller for all your model calls
Advanced 1 of 7
Tool-Calling Agent
LLMs that act, not just respond — the future is agentic
Advanced 2 of 7
Synthetic Data Pipeline
Teaching AI with AI-generated training data
Advanced 3 of 7
LoRA Fine-Tuning
Efficiently specializing LLMs for your domain
Advanced 4 of 7
Batch Inference Worker
Processing millions of LLM calls efficiently and cheaply
Advanced 5 of 7
Hallucination Monitor
Catching LLM lies before they reach your users
Advanced 6 of 7
Cost/Latency Dashboard
Seeing every token spent and every millisecond burned
Advanced 7 of 7
Context Router
Sending the right context to the right model at the right time