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 Training Helm - Master Advanced Kubernetes Deployments training are: Advanced Kubernetes proficiency, expert kubectl usage, fluent YAML, basic operational Helm knowledge. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Helm - Master Advanced Kubernetes Deplo... | 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 Training Helm - Master Advanced 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 Training Helm - Master Advanced 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 Training Helm - Master Advanced 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 and dynamic templating

Implement hooks, dependencies, and advanced libraries

Automate secure multi-environment deployments

Integrate Helm into CI/CD pipelines with ArgoCD or Flux

Debug releases, manage critical upgrades and rollbacks

Optimize performance with values overrides and post-renderers

Create reusable custom charts for production

Training program

Module 1Advanced Helm Fundamentals: Charts, Templates, and Values (Helm CLI tools, Go templates)

Dive into creating sophisticated Helm charts, manipulate Go templates for dynamic conditions and loops, test values.yaml overrides via practical exercises on Minikube clusters, generate dependency diagrams, deploy your first custom chart with Schema validation, while analyzing real-world microservices app cases to boost your skills immediately.

Module 2Helm Hooks and Dependencies: Automated Workflows (Lifecycle methods, chart libraries)

Configure pre/post-install hooks for smooth DB migrations, integrate subchart dependencies with private repositories, explore Helm libraries for reusable snippets, simulate GitOps scenarios via hands-on workshops, generate deliverables like tested hook pipelines, transform your deployments into irresistible zero-downtime processes.

Module 3Expert Helm Deployment: Multi-Cluster and CI/CD (ArgoCD, Flux, Helmfile tools)

Automate releases across dev/staging/prod environments, integrate Helm into GitOps with ArgoCD and Flux, master Helmfile for massive umbrella charts, deploy on EKS/AKS/GKE via live exercises, analyze template diffs for safe upgrades, produce functional CI/CD pipelines, accelerate your Kubernetes production like a pro.

Module 4Helm Security, Debugging, and Best Practices: Production-Ready (helm-security, seccomp tools)

Secure charts with Trivy scanners and OPA policies, debug failures via helm template --debug and hook logs, optimize with Kustomize post-renderers, review best practices via full audit, finalize capstone project on scaled e-commerce app, export production-ready chart portfolio, become the go-to Helm expert.