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Training Chaos Engineering 2026 - Ultimate Resilience of AI Systems

Ref: HME620
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master the advanced principles of Chaos Engineering 2026 to strengthen the resilience of corporate AI infrastructures.
  • Develop professional skills in AI chaos simulation with next-gen tools like Chaos Mesh and Litmus.
  • Design and deploy automated chaos experiments to identify weaknesses in ML pipelines.
  • Optimize distributed AI systems against black swan failures via advanced fault injection.
  • Implement certifiable Chaos Engineering practices for infallible production.
  • Evaluate and certify the robustness of AI architectures under real extreme conditions.

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Chaos Engineering 2026 Fundamentals: AI Risk Modeling (Chaos Mesh, advanced fault models)

Dive into the evolved theories of Chaos Engineering 2026 tailored to AI systems, modeling complex failure scenarios such as ML model degradations or data surges. Use Chaos Mesh on Kubernetes to inject targeted network and CPU faults on AI workloads, analyze impacts via real-time Grafana dashboards, conduct practical exercises on simulated clusters, produce an initial vulnerabilities report with recommendations, and discuss real-world cases from leading tech companies.

Module 2Advanced Chaos Engineering 2026 Tools: AI Chaos Injection (Litmus, Gremlin Pro)

Explore leading tools like LitmusChaos and Gremlin for sophisticated chaos injections on AI pipelines, simulating pod kills, API latencies, and storage losses in TensorFlow/PyTorch environments. Configure GitOps workflows to automate blasts, measure recovery via SLOs and SLIs, practice in pairs on real AWS EKS labs, generate blast radius heatmaps, and validate steady-state hypothesis strategies adapted to variable AI workloads.

Module 3Chaos Engineering 2026 Experiments: AI Blast Radius (game days, automations)

Organize immersive game days to test end-to-end resilience of AI systems under massive chaos, combining stress tests with fault injection on ML microservices. Deploy automations via ArgoCD and Terraform to scale experiments, analyze chaos metrics with ELK stack, mitigate risks via canaries and circuit breakers, work on Netflix/Amazon case studies adapted to AI, and produce a customized resilience playbook for your organization.

Module 4Production Deployment of Chaos Engineering 2026: Certification and AI Scaling (observability)

Scale to production by integrating Chaos Engineering 2026 into AI CI/CD pipelines, configure guardrails to minimize blast radius, implement advanced observability with OpenTelemetry and Jaeger to trace chaos impacts. Complete a capstone project on a real AI cluster, evaluate via certifying audits, optimize chaos costs, share professional lessons learned, and leave with a Qualiopi certificate validating your professional AI resilience skills.

Evaluation method

  • Theoretical quizzes and daily practical cases to validate technical skills.
  • Final chaos game day project on simulated AI infrastructure.
  • Peer-programming audit and delivery of certifying playbook.

Learning method

  • 100% hands-on with real Kubernetes/AI labs and open-source tools.
  • Concrete case studies from tech leaders (Netflix, Google) adapted for 2026.
  • Game days method to simulate live production.
  • Continuous feedback in small groups for personalization.

Methods, materials and delivery

The Training Chaos Engineering 2026 - Ultimate Resilience of AI Systems 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 Chaos Engineering 2026 - Ultimate Resilience of AI Systems 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 Chaos Engineering 2026 - Ultimate Resilience of AI Systems 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

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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