AI Cost Academy
Choose cost-efficient architecture
Compare architecture and model decisions using cost, quality, and operational overhead instead of intuition alone.
Course goal
Make one architecture decision with clearer economic tradeoffs.
Built for ctos, platform leads, ml engineers. Work through the modules in order if you want the full picture, or jump directly to the lesson that matches the job in front of you right now.
How to choose the right LLM for your workload
Compare cost, latency, and output quality in a way that supports real engineering and product tradeoffs.
OpenAI vs Anthropic pricing
Use provider and model pricing differences to decide when a premium model is worth the cost.
Embedding model options and tradeoffs
Compare embedding approaches and cost implications when retrieval is part of the production stack.
Embeddings vs full context cost efficiency
Choose when to retrieve vs stuff more context. Decision rules and cost shapes for small vs large knowledge bases.
RAG vs fine-tuning cost tradeoffs
Choose RAG, fine-tuning, or full-context for knowledge-heavy or behavior-heavy workloads with a clear cost and maintenance comparison.