Welcome to Langfuse Academy
Langfuse Academy is a practical guide to tracing, monitoring, datasets, experiments, and evaluation for production LLM apps and agents.
Where do you want to start?
New to LLM engineering
Start with the full loop and follow the recommended order from tracing to evaluation.
Know what you need
Jump straight to the topic that matches the problem you are solving right now.
Explore the Academy topics
Each card previews what you will understand after reading so you can decide where to click before leaving the page.
Some pages explain the high-level concepts. Others are deeper dives into individual parts of the lifecycle. You can read the full sequence or jump to the topic that is most relevant to your team right now.
Why we are publishing this
Langfuse is open source, and we want to open source the conceptual side of AI engineering too. The Academy is our way of making the core ideas, vocabulary, and workflows behind LLM application development easier to access for everyone.
Who this is for
- AI engineers and software engineers building LLM applications and agentic systems
- Product managers who need to reason about quality, iteration, and tradeoffs
- Technical and business leaders who need a working understanding of how AI systems are built and improved
- AI agents that support humans in understanding AI engineering concepts and workflows
