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Training Ragas - Evaluating RAG Pipelines with Precise Metrics

Ref: PVN487
10 people max.
From $3,675 HT / per person
On-site on request · +$540 with certification exam
3 days
in-person

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Microsoft
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Learning objectives

  • Complete comprehensive Ragas training to evaluate RAG systems in production
  • Configure faithfulness, answer_relevancy and context_recall metrics with quantified thresholds
  • Integrate Ragas into MLflow workflows for continuous performance tracking
  • Build synthetic test datasets tailored to specific business cases
  • Automate drift detection on generated responses through continuous monitoring
  • Produce evaluation reports actionable by product and compliance teams
A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Topic: Installation and initial Ragas tests on RAG pipelines (LangChain tools, 0.75 thresholds)

Install Ragas 0.1.x, connect to existing retrievers, run baseline metrics on a 500-document corpus. Participants create an initial question-answer set, apply faithfulness and answer_relevancy, then compare scores before and after prompt adjustments. Deliverable: initial benchmark notebook.

Module 2Topic: Customizing Ragas metrics and MLflow integration (TestSetGenerator tools, drift monitoring)

Create custom metrics, generate synthetic datasets with TestSetGenerator, export results to MLflow for traceability. Exercise on a real customer-support case: measure context_precision and calibrate alert thresholds. Deliverable: versioned evaluation pipeline.

View this trainingTraining MLflow Advanced - Master MLOps in Production

Module 3Topic: Automation and reporting with Ragas in production (CI/CD tools, alerts)

Deploy evaluations in a CI/CD pipeline, implement drift monitoring on responses, create shared dashboards. Analyze a hallucination error case detected at 0.62 faithfulness. Deliverable: automated report and reusable monitoring script.

Evaluation method

  • 15-question quiz on Ragas metrics
  • Practical exercise calibrating thresholds on a provided dataset
  • Review of the final deliverable by the instructor

Learning method

  • Immediate hands-on practice with company data
  • Access to notebooks and scripts after the session
  • Small-group exchanges with a maximum of 10 participants
  • Post-training technical support by email for 30 days

Methods, materials and delivery

The Training Ragas - Evaluating RAG Pipelines with Precise Metrics program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Ragas - Evaluating RAG Pipelines with Precise Metrics program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Ragas - Evaluating RAG Pipelines with Precise Metrics program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

FAQ

Frequently asked questions

How much does the Training Ragas - Evaluating RAG Pipelines with Precise Metrics training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Ragas - Evaluating RAG Pipelines with Precise Metrics training?+
The training lasts 3 days, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Practical experience with LangChain or LlamaIndex, basic knowledge of RAG pipelines and use of Python to load vector datasets.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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