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.
Learning objectives
- Master the implementation of Guardrails.ai 2026 to validate AI outputs in the enterprise
- Develop custom validators to enhance the reliability of generative models
- Design secure pipelines integrating deep learning and certified prompt engineering
- Optimize the performance of AI guardrails in scalable professional environments
- Deploy risk mitigation strategies for certified training in responsible AI
- Acquire advanced skills in auditing and monitoring critical AI systems
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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.
Program
Module 1Guardrails.ai 2026 Fundamentals: Installation and Initial Configuration (Pydantic, LLM Frameworks)
Discover the basics of Guardrails.ai 2026 through guided installation on cloud and local environments, configure initial validators with Pydantic to structure LLM outputs, explore native integrations with Hugging Face and OpenAI, complete practical exercises on simple prompts, generate your first automated validation reports, and analyze logs to identify early failures in a realistic professional context.
Module 2Custom Validators in Guardrails.ai 2026: Creation and Advanced Testing (Regex, JSON Schemas)
Dive into designing custom validators for Guardrails.ai 2026, use advanced regex and complex JSON schemas to filter hallucinations and biases, integrate semantic checks via deep learning embeddings, test live on real enterprise datasets, debug failures with built-in tracing tools, generate precise compliance metrics, and apply these skills to concrete cases like secure code generation.
Module 3Guardrails.ai 2026 Pipelines: Integrating Deep Learning and Prompt Engineering (LangChain, LlamaIndex)
Build end-to-end pipelines with Guardrails.ai 2026 coupled with LangChain and LlamaIndex, optimize prompt engineering for proactive validation, incorporate fine-tuned deep learning models to refine guards, simulate secure RAG workflows with interactive exercises, measure impact on latency and accuracy, produce real-time monitoring dashboards, and adapt these pipelines to varied enterprise needs like AI customer support.
Module 4Advanced Security in Guardrails.ai 2026: Risk Mitigation and Audits (OWASP AI, GDPR Compliance)
Explore jailbreak and adversarial attack mitigation strategies via Guardrails.ai 2026, align with OWASP Top 10 for AI and 2026 GDPR standards, configure multi-layer automated audits, test malicious prompt injection scenarios, integrate human-in-the-loop for critical validation, analyze quantified vulnerabilities on real case studies, and deploy robust configurations protecting sensitive data in production.
Module 5Deployment and Optimization of Guardrails.ai 2026: Production and Monitoring (Docker, Kubernetes)
Finalize deployment of Guardrails.ai 2026 in Docker containers and Kubernetes orchestrators, scale for high enterprise loads, implement continuous monitoring with Prometheus and Grafana, optimize performance via intelligent caching, complete a capstone project on a real client use case, evaluate ROI via business metrics, and obtain deliverables ready for immediate enterprise integration with post-training support.
Evaluation method
- Daily interactive quizzes on Guardrails.ai concepts
- Final project: complete secure pipeline with report
- Practical evaluation in pairs on real scenarios
Learning method
- Hands-on approach with 70% practice on dedicated machines
- Real case studies from Qualiopi-certified companies
- Real-time personalized feedback from expert trainers
- Post-training resources: source code, videos, and community
Methods, materials and delivery
The Training Guardrails.ai 2026 - Securing Generative AI in the Enterprise program is delivered onsite or remote (blended-learning, e-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 2026 - Securing Generative AI in the Enterprise 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 2026 - Securing Generative AI in the Enterprise 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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.
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