🚀 Open-source RAG evaluation and testing with Evidently. New release
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LLM evaluations for AI product teams

Free 7-day email course on LLM evaluations for AI product teams and AI leaders. A gentle introduction to evaluating LLM-powered products, no coding knowledge required.

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Evidently AI Open-source ML observability course
about the course

What you will learn

The fundamentals of LLM evals: from evaluation methods and benchmarks to LLM guardrails and creating custom LLM judges.This course is designed for AI product managers and AI leaders interested in grasping the core concepts in AI quality and observability.
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Evaluations at different stages of LLM app lifecycle: from experiments to production monitoring.
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How to design evaluation datasets and use synthetic data to generate varied test cases.
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What can go wrong with LLM apps: hallucinations, prompt injection, jailbreaks.
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How to build LLM observability in production: tracing, evals, guardrails.
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LLM evaluation methods: LLM judge, regular expressions, predictive metrics.
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Practical examples: how to evaluate RAGs, QA systems, and agents.
perks

Why take the course?

LLM evals explained in plain English.
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Free
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10+ byte-sized videos
book
Illustrated PDF with course notes
testimonials

What the students say

600+ students have signed up to take the course.
Milan McGraw
Milan McGraw
Head of Generative AI and ML, AWS
"Whether you're an AI practitioner, data scientist, or just starting out with LLMs, this course quickly equips you with practical tools and frameworks to confidently assess the effectiveness of generative AI models in real-world applications. If you're serious about leveraging LLMs, this course is a must!"
Abhinav Mittal
Abhinav Mittal
Responsible AI Advisor, BABL AI
"Thank you once again for explaining AI testing so clearly and in a way that anyone, regardless of technical background, can understand. I would wholeheartedly recommend everyone to check out the course."
Milan McGraw
Milan McGraw
Head of Generative AI and ML, AWS
"Whether you're an AI practitioner, data scientist, or just starting out with LLMs, this course quickly equips you with practical tools and frameworks to confidently assess the effectiveness of generative AI models in real-world applications. If you're serious about leveraging LLMs, this course is a must!"
Abhinav Mittal
Abhinav Mittal
Responsible AI Advisor, BABL AI
"Thank you once again for explaining AI testing so clearly and in a way that anyone, regardless of technical background, can understand. I would wholeheartedly recommend everyone to check out the course."
Hassan Farid
Hassan Farid
Application Consultant, Techlogix
"The course curriculum peaked into evaluation methods for LLM-powered products at each stage of the development pipeline, including pre-deployment and post-deployment. The course also covered fundamental strategies to mitigate risks and ensure credible responsiveness from LLM applications."
Josep Curto
Josep Curto
Co-Founder, Spanish Association for Responsible AI
"Nothing better than completing a short course "LLM evaluations for AI product teams" by Evidently AI. Very interesting introduction to the topic."
Hassan Farid
Hassan Farid
Application Consultant, Techlogix
"The course curriculum peaked into evaluation methods for LLM-powered products at each stage of the development pipeline, including pre-deployment and post-deployment. The course also covered fundamental strategies to mitigate risks and ensure credible responsiveness from LLM applications."
Josep Curto
Josep Curto
Co-Founder, Spanish Association for Responsible AI
"Nothing better than completing a short course "LLM evaluations for AI product teams" by Evidently AI. Very interesting introduction to the topic."

Join the course now

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intro video

Welcome to the course

team

Meet course instructor

Elena Samuylova is a CEO and Co-founder at Evidently AI, a Y Combinator-backed startup developing AI observability tools to evaluate, test, and monitor the quality of AI systems.

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She has been active in the applied machine learning space since 2014. Previously, she co-founded and served as a CPO of an industrial AI startup. She worked with global metal and chemical companies to implement machine learning for production optimization. Prior to that, she led business development at Yandex Data Factory, an enterprise AI division of Yandex. She focused on delivering ML-based solutions to retail, banking, telecom, and other industries. In 2018, Elena was named 50 Women in Product Europe by Product Management Festival.

Faq

Have a question or need help?

Is the course free?
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Yes, the course is 100% free.

What is the course format?
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The course is organized into a series of 7 daily emails. Each day you will receive an email that consists of a byte-sized video covering a particular topic, a  video summary, and recommendations for further reading.

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How long does it take to complete the course?
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The course lasts seven work days.

Will I get a course certificate?
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You will receive a certificate if you successfully complete the final quiz by March 1, 2025. After this date, you can no longer take the quiz or receive a certificate.

Are there any course prerequisites?
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The course is designed for everyone interested in grasping the fundamentals of LLM evaluations. No previous knowledge of the subject or coding skills required.

What if I need help?
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Have a question or just want to say “Hi”? Jump to our Discord to chat with fellow learners and get support from the course team.

How can I enroll?
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Sign up here to enroll and receive course materials.

Will course materials still be available after the course?
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Yes! All course videos will be available during and after the course.

Evaluate, test and monitor your AI-powered products.
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