Training Guardrails.ai - Securing LLMs in Production

Specialist course · Minimum level required

$4,725

  • 3 days
  • Onsite
  • 10 people max.
Ref: FRM351
10 people max.
$4,725
In-company rate: from $8,558 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
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without Guardrails.ai, 70% of LLM outputs contain hallucinations causing business errors estimated at 25% revenue losses for chatbot applications.

  • Companies suffer an average of 15 GDPR incidents per year due to invalid data generated by AI, with fines up to 4% of revenue.

  • Technical teams lose 50% of their time on manual debugging, slowing deployments.

  • In 2024, 82% of AI recruiters reject profiles without guardrail expertise, risking career obsolescence and competitive lag.

  • Master Guardrails.ai to avoid these costly pitfalls.

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

Guardrails.ai training objectives

  • Master Guardrails.ai for validating and correcting LLM outputs in a professional context
  • Develop custom validators tailored to company-specific business needs
  • Implement RAIL specifications for certified and robust AI pipelines
  • Design Guardrails.ai integrations with popular LLM frameworks
  • Optimize Guardrails.ai performance in production for scalable applications
  • Deploy monitoring and logging systems with Guardrails.ai
  • Acquire certified skills in AI guardrails for enterprise projects

Program

Guardrails.ai curriculum: 3 modules over 3 days

Module 1 : Guardrails.ai Fundamentals: Installation and Basic Validators (Pydantic, Regex, Types)

Quick installation of Guardrails.ai in a professional Python environment, creation of the first validator to correct basic LLM outputs, exploration of native integrations with OpenAI and Hugging Face, practical exercises on real business prompts, development of validation rules for structured data, unit tests and error report generation, production of a first validated pipeline ready for the team.

Module 2 : Advanced Guardrails.ai: RAIL Specs and Custom Validators (Business Logic, XML/JSON)

Design of complete RAIL specifications for multimodal outputs, creation of custom validators with advanced Python for specific business cases, integration of Guardrails.ai into complex LLM chains via LangChain, practical workshops on correcting hallucinations and biases, simulation of business scenarios with sensitive data, performance optimization via caching and batching, delivery of a reusable documented module for your AI projects.

Module 3 : Guardrails.ai in Production: Monitoring, Deployment, and Scaling (Docker, Observability)

Deployment of Guardrails.ai in Docker containers for cloud environments, setup of advanced monitoring with logging and Prometheus metrics, real-time error management and fallback strategies, exercises on horizontal scaling for high loads, concrete GDPR-compliant audit cases, best practices for CI/CD with Guardrails.ai, finalization of a deployable red thread project with validation dashboard, skills ready to boost your enterprise AI applications.

How Guardrails.ai skills are assessed

  • Technical MCQ on Guardrails.ai validators and RAIL specs
  • Evaluation through practical exercises on LLM correction
  • Defense of the red thread project with deployed Guardrails.ai pipeline

How the Guardrails.ai course is taught

  • Sessions led by a practicing Guardrails.ai expert
  • Hands-on exercises on real business cases with LLMs
  • Evolving red thread project over 3 days for complete mastery
  • Detailed course materials and shared open-source resources

Guardrails.ai training: access and practical arrangements

The Training Guardrails.ai - Securing 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 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 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 pydantic, regex, types, business Logic, XML and JSON. Those tools come from the Guardrails.ai program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Guardrails.ai training?+
They can master Guardrails.ai for validating and correcting LLM outputs in a professional context, develop custom validators tailored to company-specific business needs and implement RAIL specifications for certified and robust AI pipelines. 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: Guardrails.ai Fundamentals: Installation and Basic Validators (Pydantic, Regex, Types). Day 2: Advanced Guardrails.ai: RAIL Specs and Custom Validators (Business Logic, XML/JSON). Day 3: Guardrails.ai in Production: Monitoring, Deployment, and Scaling (Docker, Observability). The Guardrails.ai program runs over 3 days, delivered on site.
How is Guardrails.ai training assessed?+
Assessment relies on technical MCQ on Guardrails.ai validators and RAIL specs, evaluation through practical exercises on LLM correction and defense of the red thread project with deployed Guardrails.ai pipeline. 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 $4,725 per participant. For an in-company team, the flat rate starts at $8,558 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?+
3 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?+
Advanced Python proficiency, experience with LLM APIs (OpenAI, Hugging Face), knowledge of Pydantic data validation.
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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