IT course Advanced level

LLM Evaluation and Testing: Shipping Reliable AI

Master LLM evaluation and testing: LLM-as-a-judge, golden datasets, RAG and agent evals, CI/CD regression testing and production monitoring. 2026 course.

Lessons
30in 10 modules
Duration
~25 hself-paced
Quiz
370questions
Level
Advancedfor practitioners
  • In English
  • Updated on
Free preview · lesson 1 · no account needed Why LLM Evaluation Is Hard — and Non-Negotiable Most engineering teams can ship a web service they can reason about: the same input yields the same output, a failing assertion is unambiguous, and a green test suite means the behavior is locked in. LLM-powered systems break every one of those assumptions. Read the preview

What you will learn

The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.

  • Foundations: Why LLM Evaluation Is Hard and Essential
  • Classic Metrics and Why They Fail on Open-Ended Text
  • LLM-as-a-Judge: Design, Bias and Calibration
  • Building Evaluation Datasets
  • The Evaluation Tooling Landscape
  • Evaluating RAG Systems
  • Evaluating AI Agents
  • Safety, Guardrails and Red-Teaming Evaluation

About the course

A premium, complete and advanced course on evaluating and testing LLM-powered systems, updated for 2026. You will learn why evals are the hardest and most important discipline in AI engineering, the full evaluation taxonomy (offline vs online, reference-based vs reference-free), why classic metrics such as BLEU, ROUGE and exact match fail on open-ended text, and how embedding-based metrics help and mislead. You will master LLM-as-a-judge (rubric design, position/verbosity/self-preference bias, calibration against humans), building golden datasets with edge cases and slices, and the real 2026 toolchain: promptfoo, LangSmith, Langfuse, Braintrust, DeepEval, Ragas and pytest. The course goes deep on evaluating RAG (retrieval and generation), evaluating agents (task completion and trajectory), safety and guardrail evals, red-teaming, regression testing prompts in CI/CD, online A/B testing, quality-drift monitoring, human annotation and the real cost of evaluation. Includes runnable code, production patterns, a strong focus on data privacy and GDPR for eval data, and a comprehensive final assessment. Educational content, not legal advice.

Who it is for

For developers, engineers and technical professionals who build or integrate AI solutions. It belongs to AI Engineering, on the IT track.

What you need

Advanced level: assumes hands-on experience with AI in the course’s field.

Course curriculum

10 modules · 30 lessons · about 25 hours · 370 quiz questions

Read a free preview of lesson 1: “Why LLM Evaluation Is Hard — and Non-Negotiable” No account needed. See how a lesson is written before you pay.
  1. Module 1: Foundations: Why LLM Evaluation Is Hard and Essential

    4 lessons · 3 h 20 min · 47 questions
    1. Why LLM Evaluation Is Hard — and Non-Negotiable Free preview of the lesson “Why LLM Evaluation Is Hard — and Non-Negotiable” 50 min 12 questions
    2. The Evaluation Taxonomy: Offline vs Online, Reference-Based vs Reference-Free 50 min 12 questions
    3. Building Your First Eval Harness with pytest 50 min 12 questions
    4. Reading Eval Results: Variance, Significance and Confidence 50 min 11 questions
  2. Module 2: Classic Metrics and Why They Fail on Open-Ended Text

    3 lessons · 2 h 30 min · 36 questions
    1. Exact Match, BLEU, ROUGE and String Metrics 50 min 12 questions
    2. Embedding-Based Metrics: BERTScore and Semantic Similarity 50 min 12 questions
    3. When Classic Metrics Mislead You 50 min 12 questions
  3. Module 3: LLM-as-a-Judge: Design, Bias and Calibration

    3 lessons · 2 h 30 min · 36 questions
    1. Designing an LLM Judge 50 min 12 questions
    2. Judge Biases and How to Mitigate Them 50 min 12 questions
    3. Calibrating and Validating Your Judge Against Humans 50 min 12 questions
  4. Module 4: Building Evaluation Datasets

    3 lessons · 2 h 30 min · 36 questions
    1. Golden Sets and Test Case Design 50 min 12 questions
    2. Edge Cases, Adversarial Inputs and Slices 50 min 12 questions
    3. Synthetic Data Generation for Evals 50 min 12 questions
  5. Module 5: The Evaluation Tooling Landscape

    3 lessons · 2 h 30 min · 36 questions
    1. promptfoo: Config-Driven Evaluation and Red-Teaming 50 min 12 questions
    2. LangSmith, Langfuse and Braintrust: Tracing and Eval Platforms 50 min 12 questions
    3. DeepEval: Pytest-Native LLM Testing 50 min 12 questions
  6. Module 6: Evaluating RAG Systems

    3 lessons · 2 h 30 min · 36 questions
    1. Retrieval Metrics: Recall, Precision, MRR and NDCG 50 min 12 questions
    2. Generation Metrics: Faithfulness, Answer Relevancy and Ragas 50 min 12 questions
    3. End-to-End RAG Evaluation and Failure Attribution 50 min 12 questions
  7. Module 7: Evaluating AI Agents

    3 lessons · 2 h 30 min · 36 questions
    1. Task Completion and Success Metrics 50 min 12 questions
    2. Trajectory and Tool-Call Evaluation 50 min 12 questions
    3. Multi-Turn and Simulation-Based Agent Evaluation 50 min 12 questions
  8. Module 8: Safety, Guardrails and Red-Teaming Evaluation

    3 lessons · 2 h 30 min · 35 questions
    1. Safety Evals and Guardrail Testing 50 min 12 questions
    2. Adversarial Testing and Red-Teaming 50 min 12 questions
    3. Eval Data Privacy, Governance and GDPR 50 min 11 questions
  9. Module 9: Evaluation in Production: CI/CD, A/B Testing, Monitoring and Cost

    4 lessons · 3 h 20 min · 48 questions
    1. Regression Testing Prompts in CI/CD 50 min 12 questions
    2. Online Evaluation and A/B Testing in Production 50 min 12 questions
    3. Monitoring Quality Drift and Human Annotation 50 min 12 questions
    4. The Cost of Evaluation 50 min 12 questions
  10. Module 10: Final Quiz — LLM Evaluation and Testing

    1 lesson · 45 min · 24 questions
    1. Final Assessment — Shipping Reliable AI 45 min 24 questions
By email

Email me the course syllabus

Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.

How you learn

You read the lesson, ask the AI Professor right on the page and check what you remember.

Why LLM Evaluation Is Hard — and Non-Negotiable

Most engineering teams can ship a web service they can reason about: the same input yields the same output, a failing assertion is unambiguous, and a green test suite means the behavior is locked in. LLM-powered systems break every one of those assumptions.

The AI Professor bar that appears in the lesson under the selected passage, with the actions “Explain this to me”, “Give me an example”, “Why does it matter?” and “My own question”
The first lines of lesson 1 of this course. Read the free preview, no account needed.
  1. You read the lesson at your own pace

    Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.

  2. You ask the AI Professor inside the lesson

    Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.

  3. You check what you remember

    Every lesson has its own quiz, with explanations for the answers: 370 questions across the course. The professor also summarizes the lesson and prepares review flashcards.

  4. You get the Certificate of Completion

    Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.

The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.

You leave with proof anyone can check

The Certificate of Completion for “LLM Evaluation and Testing: Shipping Reliable AI”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.

Example of a Cursuri AI Certificate of Completion with sample data: the serial number and the issue date in the top-right corner, the holder’s name, the course, the tier awarded, the percentage of lessons, the average score, the study time, the course version, the issuer and the verification QR code
The real document, an A4 PDF, shown here with sample data. Yours carries your name, the course “LLM Evaluation and Testing: Shipping Reliable AI”, the serial number, the issue date and the tier you earned; the QR code in the image is decorative.
  • Anyone can verify it

    Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.

  • You show it where it counts

    Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.

  • It says exactly what it attests

    The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.

Verify a certificate
Pricing

Just this course, or more with this one included

A subscription by number of courses: 1, 3, 5, 10, 15 or 25 courses a month, or the full catalog. You pick them and can change them at every renewal; your progress and certificates stay. Billed monthly or yearly (12 months for the price of 10), in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.

How many courses a month?

This course goes first on your list; you pick the others in your account and can change them at every renewal.

Billing period
  1. 1 course Only this course

    €99 a course

    €99a month €990a year, 12 months of access

  2. 3 courses This one + 2 of your choice

    under €67 a course

    €199a month €1,990a year, 12 months of access

  3. 5 courses This one + 4 of your choice

    under €52 a course

    €259a month €2,590a year, 12 months of access

  4. 10 courses Recommended This one + 9 of your choice

    under €32 a course

    €319a month €3,190a year, 12 months of access

  5. 15 courses This one + 14 of your choice

    under €24 a course

    €359a month €3,590a year, 12 months of access

  6. 25 courses This one + 24 of your choice

    under €16 a course

    €399a month €3,990a year, 12 months of access

  7. Full catalog Nothing to pick, new courses included

    under €10 a course, across all 50

    €499a month €4,990a year, 12 months of access

Total prices, VAT included. Move up anytime and pay only the difference for the days left; move down at renewal. Renews automatically, you stop it anytime from your account; your progress and certificates stay. Digital content with immediate access: see the withdrawal terms.

Before you decide

Frequently asked questions

About the course, the price, the AI Professor and the certificate.

What will I learn in “LLM Evaluation and Testing: Shipping Reliable AI”?

A premium, complete and advanced course on evaluating and testing LLM-powered systems, updated for 2026. You will learn why evals are the hardest and most important discipline in AI engineering, the full evaluation taxonomy (offline vs online, reference-based vs reference-free), why classic metrics such as BLEU, ROUGE and exact match fail on open-ended text, and how embedding-based metrics help and mislead. You will master LLM-as-a-judge (rubric design, position/verbosity/self-preference bias, calibration against humans), building golden datasets with edge cases and slices, and the real 2026 toolchain: promptfoo, LangSmith, Langfuse, Braintrust, DeepEval, Ragas and pytest. The course goes deep on evaluating RAG (retrieval and generation), evaluating agents (task completion and trajectory), safety and guardrail evals, red-teaming, regression testing prompts in CI/CD, online A/B testing, quality-drift monitoring, human annotation and the real cost of evaluation. Includes runnable code, production patterns, a strong focus on data privacy and GDPR for eval data, and a comprehensive final assessment. Educational content, not legal advice.

The course has 10 modules and 30 lessons, with 370 quiz questions. The full curriculum, module by module, is shown on the course page.

Do I need prior experience for this course?

Yes. The course is Advanced level and assumes hands-on experience with AI in its field.

How long does the course take?

The estimated duration is about 25 hours, across 30 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.

How much does it cost, and which plan do I need?

This course alone: the 1 course plan, €99 per month. The course fits into every plan of the subscription, next to other courses you choose: for example 3 courses for €199, 10 courses for €319 (recommended) or the full catalog for €499 per month.

You pick your courses after paying and can change them at every renewal; starting from here, this one is already picked. Plans are billed in EUR, monthly or yearly (pay for 10 months, get 12). Every price is a total, with VAT included at the rate of your country. See all plans.

Can I read part of the course before paying?

Yes. You can read a free preview of lesson 1, “Why LLM Evaluation Is Hard — and Non-Negotiable”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.

How does the AI Professor help me in this course?

The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.

It is included in every plan of your subscription, with a fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.

Do I get a certificate when I finish the course?

When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “LLM Evaluation and Testing: Shipping Reliable AI” from your account, with a unique number, publicly verifiable on the site.

It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.

Does the subscription renew automatically? How do I stop it?

Yes. The subscription renews automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.

You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.

Can my company buy this course for a team?

Yes. With the team library, the company admin picks 3, 5, 10, 15 or 25 courses a month, or the full catalog, for the whole team, from €49 per member per month, excl. VAT, for 5 members or more. A dashboard shows each member’s progress and manages seats centrally. Price it for your team.

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You can pick them together with this one in a 3, 5 or 10-course subscription (3 courses for €199 a month), and the full catalog includes them all. A single course is €99 a month.

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Start the course today, at your own pace

“LLM Evaluation and Testing: Shipping Reliable AI”: 30 lessons and about 25 hours of content, with your progress saved at every lesson.

  • Instant access after payment, on computer, tablet or phone.
  • AI Professor in every lesson, included in your subscription.
  • Certificate of Completion, publicly verifiable.

1-course subscription

€99/month

VAT included · stop the renewal anytime from your account

Start the course · €99/month Or 3 courses for €199/month, this one included