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.
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Program
Quick installation of the Guardrails.ai environment with pip and Docker, creation of your first professional project integrating basic validators on real LLM prompts, exploration of Pydantic schemas to structure expected outputs, practical exercises on enterprise cases such as secure financial report generation, automated unit tests, and first live validation with an OpenAI model, delivery of a functional deliverable ready for iteration.
Deep dive into regex validators to filter sensitive content, use of LLM validators for intelligent contextual validation, development of custom functions tailored to your business data such as bias or hallucination detection, practical workshops on real enterprise datasets, chaining validators into complex pipelines, interactive debugging with detailed logs, production of actionable error reports, and performance optimization for real-time responses.
Seamless integration of Guardrails.ai into LangChain for robust LLM chains, development of secure REST APIs with FastAPI and Guardrails middleware, connection to PostgreSQL databases to persist validations, real enterprise cases such as a secure customer chatbot, refactoring exercises for existing applications, end-to-end integration tests with Postman, creation of a deployable prototype connected to your internal services, focus on horizontal scalability.
Setup of advanced monitoring with Prometheus and Grafana to track Guardrails.ai validation rates, optimization of validators to reduce latency under 100ms, caching and batching techniques for massive LLM output volumes, workshops on scaling with Kubernetes, analysis of real bottlenecks via profiling, implementation of Slack alerts for critical anomalies, exercises on large enterprise datasets, production of a custom dashboard to monitor AI reliability KPIs.
Setup of CI/CD pipelines with GitHub Actions and Docker to deploy Guardrails.ai to production, securing with secrets management and automated audits, best practices for GDPR compliance and Qualiopi certifications, simulation of production incidents with rapid rollback, pair-programming code review on your red thread project, finalization of the complete deliverable with API documentation and operational playbook, preparation for team autonomy and immediate enterprise adoption.
The Training Guardrails.ai - Securing LLM Outputs 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 LLM Outputs in Production program, the following equipment is required:
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.
Skills assessment methods
Assessment of skills acquired during the Training Guardrails.ai - Securing LLM Outputs in Production program is performed through:
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.
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.
Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
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.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
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.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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