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 High Availability architectures for professional enterprise AI systems.
- Develop certifiable skills in redundancy and failover for Deep Learning.
- Design resilient clusters integrating High Availability Prompt Engineering.
- Implement automatic scaling strategies for critical AI workloads.
- Optimize fault tolerance in hybrid cloud AI environments.
- Deploy advanced monitoring tools to ensure 99.99% uptime in expert training.
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.
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 1High Availability Fundamentals: Kubernetes Cluster Modeling for Deep Learning (UML Diagrams, Chaos Engineering Simulations)
Discover expert principles of active-passive redundancy and multi-master applied to AI pipelines, through practical workshops on Minikube and custom Helm charts for TensorFlow models. Analyze real outage cases from tech leaders, build your first failover diagrams, test node crash scenarios with tools like Chaos Mesh, and generate resilience reports, while integrating predictive metrics to anticipate downtimes in Deep Learning production environments.
Module 2High Availability Implementation: Orchestrating AI Services with Failover and Load Balancing (Terraform, Istio, Prompt Engineering Cases)
Dive into automated deployment of high availability AI services, using Terraform to provision resilient EKS/AKS clusters. Configure Istio for advanced traffic management on prompt generation APIs, simulate extreme loads with Locust on GPT-like models, implement custom health checks and circuit breakers, analyze ELK Stack logs for rapid debugging, and produce enterprise-ready Ansible playbooks, ensuring seamless continuity during AI inference peaks.
Module 3High Availability Optimization: Predictive Monitoring and DRP for Critical AI (Prometheus, Thanos, Live Production-Like Exercises)
Finalize your skills with backup strategies and Disaster Recovery Plans for distributed AI architectures. Integrate Prometheus and Thanos for long-term monitoring on NVIDIA GPU fleets, develop AIOps predictive alerts based on ML to detect anomalies in Prompt Engineering, test complete restores in under 15 minutes via Velero, optimize costs with resilient spot instances, and validate through a capstone project simulating a major outage, delivering a certifiable blueprint for enterprise deployment.
Evaluation method
- Advanced technical quiz on HA AI architectures (80% passing threshold).
- Final project: Functional High Availability cluster for Deep Learning deployed.
- Oral interview and peer-review on resilient Prompt Engineering cases.
Learning method
- Hands-on projects on real Kubernetes/AI environments.
- 24/7 pedagogical support with replay of remote sessions.
- Unlimited access to post-training resources (code, docs).
- Individual coaching for internal Qualiopi certification.
Methods, materials and delivery
The High Availability Training - Deploying Resilient 24/7 AI 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 High Availability Training - Deploying Resilient 24/7 AI 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 High Availability Training - Deploying Resilient 24/7 AI 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.
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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FAQ
Frequently asked questions
How much does the High Availability Training - Deploying Resilient 24/7 AI training cost?+
The individual price is $3,465 (USD). A detailed quote is sent within one business day.
How long is the High Availability Training - Deploying Resilient 24/7 AI training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced mastery of Kubernetes and Docker, deployment of AI models in production, management of distributed clusters, and basic knowledge of Prometheus/Grafana monitoring.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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