Foundations of AI Agent Observability with Langfuse — WalkSelf
4.5 (13) ⏱ 2h 42m 📚 27 lessons 🎧 Audio version

Foundations of AI Agent Observability with Langfuse

Learn how to trace, evaluate, and monitor your AI agents using Langfuse to build reliable and cost-effective LLM applications from scratch.

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About this course

As AI agents and LLM applications become more complex, understanding exactly how they make decisions is critical. Without proper observability, debugging prompts and managing costs can feel like searching in the dark. This text-based course guides you through the essentials of monitoring and evaluating AI agents using Langfuse. You will explore how to capture execution traces, track token usage, and score model responses to ensure your artificial intelligence tools operate reliably and efficiently. What you'll learn: • Understand the core concepts of LLM observability and agent tracing. • Configure Langfuse to monitor AI agent workflows and capture execution steps. • Track token consumption and calculate costs for modern LLM applications. • Evaluate model outputs using scoring mechanisms and user feedback loops. • Analyze Retrieval-Augmented Generation (RAG) performance and prompt effectiveness. • Compare observability strategies to build robust, production-ready AI tools. The curriculum begins with foundational terminology and concepts before moving into practical, written exercises on implementing tracing and monitoring logic. You will read through step-by-step code snippets and scenarios that illustrate how to integrate these practices into your development workflow. This course is designed for beginners and aspiring developers; no prior experience with agentic AI or complex observability tools is required. Start reading today to gain clear visibility into your AI applications and build better agents.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 42m of practical content

Reviews (13)

Lukas Becker AT Verified learner
★ 4 · July 24, 2026

Endlich verstehe ich, wie ich meine Agenten mit Langfuse durchleuchten kann, statt im Dunkeln zu tappen. Die Kapitel zum Nachverfolgen der Token-Kosten waren für mein Budget besonders wertvoll. Beim Thema Auswertung hätte ich mir noch etwas mehr Tiefe gewünscht, aber insgesamt sehr empfehlenswert.

Sophie Moreau MC
★ 5 · July 20, 2026

Excellent cours pour comprendre comment tracer et évaluer des agents IA avec Langfuse, très concret du début à la fin.

Kari Jensen NO Verified learner
★ 5 · July 3, 2026

Setting up Langfuse tracing finally let me see exactly where my LLM costs were leaking, brilliant course.

Lucas Bernard FR
★ 4 · June 30, 2026

Bon cours sur le suivi des agents IA avec Langfuse, même si la partie sur les coûts reste un peu superficielle.

Елена Смирнова RU Verified learner
★ 4 · June 28, 2026

Курс хорошо объясняет, как настроить трассировку и мониторинг ИИ-агентов через Langfuse. Особенно полезной оказалась часть про автоматическую оценку ответов агента по заданным метрикам. Немного не хватило примеров работы с продакшн-логами, но база дана крепкая.

Emilia Koch CH Verified learner
★ 5 · June 26, 2026

Der Kurs zeigt sehr praxisnah, wie man mit Langfuse Traces von KI-Agenten aufzeichnet und auswertet. Besonders hilfreich fand ich den Teil über automatische Evaluationen, weil ich vorher alles manuell geprüft habe. Jetzt kann ich endlich nachvollziehen, warum ein Agent bei bestimmten Anfragen falsch reagiert.

Zofia Woźniak PL Verified learner
★ 5 · June 23, 2026

Kurs pokazuje krok po kroku, jak zbudować sensowny system oceny agentów AI w Langfuse, bardzo mi się przydał.

هند العتيبي KW Verified learner
★ 4 · June 20, 2026

شرح جيد لكن يحتاج أمثلة أكثر.

Maria Georgescu RO Verified learner
★ 5 · June 20, 2026

Clear intro to tracing AI agents.

伊藤 結衣 JP Verified learner
★ 4 · June 10, 2026

AIエージェントの動作を可視化するという発想自体が新鮮で、この講座でLangfuseを使ったトレース収集の流れがとてもよく分かりました。エージェントがどのステップでどんな判断をしているのかをログとして追えるようになったのは大きな収穫です。評価指標を自分で設定してエージェントの応答品質をスコア化する演習も実践的でした。ただ、コスト計測まわりの説明はもう少し詳しくてもよかったと思います。それでも全体としては、実務にすぐ活かせる内容が多い講座でした。

Małgorzata Lewandowska PL Verified learner
★ 4 · June 2, 2026

Kurs dobrze tłumaczy, jak śledzić i oceniać działanie agentów AI za pomocą Langfuse. Część o monitorowaniu kosztów i czasu odpowiedzi była dla mnie szczególnie przydatna. Trochę zabrakło mi głębszego omówienia własnych metryk ewaluacyjnych, ale i tak dużo się nauczyłem.

Piotr Nowak PL Verified learner
★ 5 · May 31, 2026

Wreszcie wiem, jak monitorować agenty AI krok po kroku dzięki Langfuse, kurs prowadzony bardzo konkretnie.

Anna Kowalska PL
★ 5 · May 30, 2026

Świetne wprowadzenie do monitorowania agentów AI.

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