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 Advanced Helm Training - Automate Kubernetes Deployments training are: Advanced mastery of Kubernetes, creation of YAML manifests, experience deploying containerized applications, basic Helm usage. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Advanced Helm Training - Automate Kubernetes Deployments training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Advanced Helm Training - Automate Kubernetes Dep... | 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 Advanced Helm Training - Automate Kubernetes Deployments 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 Advanced Helm Training - Automate Kubernetes Deployments 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 Advanced Helm Training - Automate Kubernetes Deployments 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 access terms and deadlines

Training objectives

Master complex Helm charts for scalable deployments

Create and customize advanced templates with values and hooks

Manage multi-cluster environments via Helm repositories

Optimize upgrades and rollbacks for zero downtime

Integrate Helm with CI/CD pipelines like GitLab or Jenkins

Diagnose and secure Helm releases in production

Develop reusable custom charts

Training program

Module 1Advanced Helm Fundamentals: charts and repositories (Helm CLI, dynamic templating)

Dive into advanced Helm charts, install and configure the Helm CLI on a Kubernetes cluster, explore official repositories like Artifact Hub, create your first custom chart with Go templates, test variable values.yaml through practical exercises, generate deployment-ready manifests, and validate with helm lint for immediate professional quality.

Module 2Helm Templates and Values: advanced customization (functions, conditions, loops)

Build powerful templates with built-in functions like tpl and range, implement if/else conditions for multi-environments, integrate loops to scale replicas, manipulate helpers like annotations and labels through concrete workshops, generate dynamic configs for real apps, test with helm template, and debug live for impeccable results.

Module 3Helm Hooks and Dependencies: complex workflows (pre-install, post-delete, subcharts)

Master lifecycle hooks for DB migrations before install, configure subchart dependencies for microservices, test post-upgrade scenarios via real enterprise cases, integrate external charts with optimized chart.yaml, simulate failures for robustness, produce production-ready deliverables, and analyze logs for smooth and secure automation.

Module 4Helm Release and Upgrade Management: production scalability (rollback, diff, multi-cluster)

Manage releases with helm upgrade --atomic for zero downtime, implement intelligent rollbacks across 3 clusters, use helm diff for secure previews, optimize update strategies through exercises on critical apps, monitor with helm list and status, generate audit reports, and prepare HA deployments that boost your operational efficiency.

Module 5CI/CD Integration and Helm Security: production-ready (secrets, pipelines, best practices)

Integrate Helm into GitOps with ArgoCD or Flux, secure secrets via SOPS and encrypted values, automate Jenkins/GitLab pipelines for chart CI, apply RBAC best practices and Trivy scanning, develop a fully custom chart in the final project, deploy in simulated production, and conclude with peer review for enterprise-ready skills.