Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Docker Expert Training - Deploy Scalable Apps in Production training are: Mastery of Linux, basic Docker (images, containers), Bash/Python scripting, Kubernetes basics.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Docker Expert Training - Deploy Scalable Apps in Production training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Docker Expert Training - Deploy Scalable Apps in... | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Docker Expert Training - Deploy Scalable Apps in Production 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.

Teaching resources provided

To ensure the quality of the Docker Expert Training - Deploy Scalable Apps in Production training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Docker Expert Training - Deploy Scalable Apps in Production training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Optimize Docker multi-stage images to reduce sizes by 70%.

Secure containers with scanning, secrets, and advanced RBAC.

Orchestrate Swarm clusters for high availability.

Integrate Docker into Jenkins/GitLab CI/CD pipelines.

Manage private registries and multi-architecture ARM/x86.

Monitor and debug containerized environments in production.

Deploy scalable microservices with advanced Compose.

Training program

Module 1Docker Optimization: Multi-Stage Builds and Layers (Dockerfile, Registries)

Dive into image optimization by practicing multi-stage builds with Docker BuildKit, analyze layers to reduce sizes by 5x, configure effective .dockerignore files, test on real Node.js and Python app cases, produce your first ultra-lightweight production-ready images, and deploy them locally to validate performance gains.

Module 2Docker Security: Scanning, Secrets, and Runtime (Trivy, Docker Bench)

Master security by scanning images with Trivy and Clair, implement secrets via Docker Secrets and Vault, configure AppArmor/SELinux for containers, simulate attacks in practical exercises, apply RBAC and network policies, generate compliance reports, and secure a complete stack to avoid 90% of common vulnerabilities.

Module 3Docker Orchestration: Swarm and Advanced Compose (Clusters, Scaling)

Build Swarm clusters live, deploy services with auto-replication, manage load balancing and rolling updates, use Docker Compose for complex microservices with overrides, test failover in failure scenarios, scale horizontally to 100 nodes, and deliver a resilient orchestrator for your critical apps.

Module 4Docker in Production: CI/CD, Monitoring, and Multi-Arch (Helm, Prometheus)

Integrate Docker into GitLab CI for automated multi-platform ARM/x86 builds, deploy with Helm charts, monitor via Prometheus/Grafana in real exercises, debug logs with ELK, configure private registries like Harbor, simulate zero-downtime deployments, and finalize an end-to-end scalable pipeline to boost your cloud infrastructure.