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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover comprehensive Tailwind CSS training essentials for web developers. Learn utility-first styling, best practices, and future trends shaping web design in April 2026.
Explore the evolving role of artificial intelligence in crafting tailored educational journeys, with projections for groundbreaking advancements by April 2026.
The Training Platform Engineering 2026 - Building Scalable DevOps Platforms training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Platform Engineering 2026 - Building Scalable DevOps Platforms training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Platform Engineering 2026 - Building Scalable DevOps Platforms training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the key concepts of Platform Engineering 2026 through practical workshops on modeling infrastructure as code with Terraform and ArgoCD, configure golden paths for developer self-service, analyze real enterprise cases like those at Netflix or Spotify, produce your first platform blueprint with complete documentation, test in cloud simulation to validate immediate scalability, and gain professional autonomy.
Automate deployments with Backstage for unified developer portals, implement Flux for GitOps management of Kubernetes, integrate ML pipelines for predictive observability, perform exercises on complex enterprise scenarios like multi-cloud migration, generate tested functional deliverables live, measure speed and reliability gains to boost your real-world production skills.
Strengthen your platforms with OPA policies for fine-grained authorization, deploy eBPF probes for runtime security, design zero-trust architectures adapted for 2026, apply to concrete cases of major incidents avoided, produce a complete audit of your prototype platform, simulate attacks to validate resilience, acquire certifiable practices that protect the enterprise from costly breaches.
Master full-stack observability with OpenTelemetry for distributed traces, configure Grafana dashboards powered by Prometheus and AI alerts, analyze predictive metrics on ongoing projects, optimize cloud costs via automated insights, deploy in simulated production with immediate feedback, finalize a platform report ready for the enterprise, transform your skills into lasting strategic assets.
Target audience
DevOps Engineers, SREs, and Cloud Architects seeking to upskill on modern platforms
Prerequisites
Experience with Docker containers, basic Kubernetes, and CI/CD pipelines
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