Training Guardrails.ai - Securing your LLMs in Production

Specialist course · Minimum level required

$6,300

  • 4 days
  • Onsite
  • 10 people max.
Ref: CBD566
10 people max.
$6,300
In-company rate: from $10,710 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty levelAWS, Azure or OVH infrastructure: from $158 / day extra
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that neglect securing their LLMs expose themselves to costly errors.

  • Studies show that 35% of AI projects fail due to uncontrolled hallucinations.

  • These failures lead to direct financial losses, regulatory compliance issues, and loss of customer trust.

  • Individually, professionals without these skills see their employability shrink against the competition.

  • Mastering Guardrails.ai is essential to stay competitive.

Nawfel ABED, Learni trainer · Cybersecurity expert
Nawfel ABED

Learni trainer · Cybersecurity expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,258 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

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  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Guardrails.ai training objectives

  • Master the installation and configuration of Guardrails.ai in professional environments
  • Develop advanced skills to validate and filter AI model outputs
  • Design custom guardrails tailored to business needs
  • Implement real-time monitoring and correction strategies
  • Optimize the reliability of AI applications through automated testing
  • Integrate Guardrails.ai into certified production pipelines

Program

Guardrails.ai curriculum: 4 modules over 4 days

Module 1 : Theme: Installation and configuration of Guardrails.ai (Python, Pydantic, initial tests)

Participants explore the Guardrails.ai ecosystem and install it in remote environments. They learn to define basic validators, connect existing LLMs, and run practical exercises on complex prompts. Each exercise results in a concrete deliverable: a functional validation script ready for deployment.

Module 2 : Theme: Creating advanced guardrails with Guardrails.ai (RAG, hallucination, correction)

This day deepens the design of sophisticated guardrails to limit hallucinations and ensure compliance. Learners use automatic correction tools, integrate RAG knowledge bases, and test real business scenarios. Deliverables include reusable configurations and detailed evaluation reports.

Module 3 : Theme: Integrating Guardrails.ai into professional pipelines (CI/CD, monitoring)

Participants integrate Guardrails.ai into complete production chains. They configure monitoring systems, automate robustness testing, and analyze performance on large volumes. Concrete cases from regulated sectors provide operational deliverables and tracking dashboards.

Module 4 : Theme: Optimization and certification with Guardrails.ai (audit, scaling, best practices)

The final day focuses on performance optimization, scaling, and preparing compliance audits. Learners complete a full project including scaling, documentation, and maintenance strategy. Each participant leaves with a certified package ready for production deployment in their company.

How Guardrails.ai skills are assessed

  • Final project securing an LLM pipeline
  • Technical skills validation quiz
  • Oral presentation of deliverables

How the Guardrails.ai course is taught

  • Hands-on workshops on real-world cases
  • Live tool demonstrations
  • Collaborative work in small groups
  • Personalized trainer feedback

Guardrails.ai training: access and practical arrangements

The Training Guardrails.ai - Securing your LLMs in Production 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 Guardrails.ai - Securing your LLMs in Production 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 Guardrails.ai - Securing your LLMs in Production 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.

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.

Our method

How Learni guarantees the quality of your Guardrails.ai training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Guardrails.ai: frequently asked questions

Which tools are used in Guardrails.ai training?+
Hands-on work runs on python, pydantic, initial tests, RAG, hallucination and correction. Those tools come from the Guardrails.ai program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Guardrails.ai training?+
They can master the installation and configuration of Guardrails.ai in professional environments, develop advanced skills to validate and filter AI model outputs and design custom guardrails tailored to business needs. Those are the stated objectives of the Guardrails.ai program at Advanced level, checked by the end-of-session assessment.
What does the Guardrails.ai program cover, day by day?+
Day 1: Theme: Installation and configuration of Guardrails.ai (Python, Pydantic, initial tests). Day 2: Theme: Creating advanced guardrails with Guardrails.ai (RAG, hallucination, correction). Day 3: Theme: Integrating Guardrails.ai into professional pipelines (CI/CD, monitoring). Day 4: Theme: Optimization and certification with Guardrails.ai (audit, scaling, best practices). The Guardrails.ai program runs over 4 days, delivered on site.
How is Guardrails.ai training assessed?+
Assessment relies on final project securing an LLM pipeline, technical skills validation quiz and oral presentation of deliverables. Learni issues a completion certificate together with the individual assessment report at the end of the Guardrails.ai program, which an L&D team can file as evidence.
How much does Guardrails.ai training cost per participant?+
Guardrails.ai training costs $6,300 per participant. For an in-company team, the flat rate starts at $10,710 for the whole group, up to 8 people. AWS, Azure or OVH infrastructure is extra, from $158 per day. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Guardrails.ai training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Guardrails.ai training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Guardrails.ai training?+
Experience in Python development, mastery of LLM APIs such as OpenAI, knowledge of prompt engineering and deep learning.
Is a certificate issued after Guardrails.ai training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Guardrails.ai training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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