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Training Helm - Automating Production Kubernetes Deployments

Ref: JUQ567
10 people max.
5600€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master Helm charts for packaging professional Kubernetes applications
  • Develop custom charts with advanced templates in enterprise contexts
  • Manage Helm releases, upgrades, and rollbacks for certified deployments
  • Integrate Helm into CI/CD pipelines for DevOps automation expertise
  • Optimize security and scalability of Helm deployments in production
  • Design dynamic values.yaml for multi-environment configurations
  • Deploy complex stacks with professional Helm umbrella charts

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Helm Fundamentals: CLI Installation and First Charts (repositories, helmfile)

Quick installation of Helm CLI in existing Kubernetes environments, exploration of official repositories like Bitnami and Artifact, deployment of standard charts on a Minikube cluster for immediate testing, analysis of chart structure with Chart.yaml and templates, practical exercises on customizing values.yaml, creation of a first simple chart with pod and service, validation via helm linting and instructor code review to ensure professional best practices from the start.

Module 2Developing Helm Charts: Advanced Templates and Helpers (Go templates, built-in functions)

Deep dive into Helm's templating system with advanced Go syntax, mastery of built-in helpers like range, if, and default for conditional logic, building multi-component charts including deployments, configmaps, and secrets, exercises on refactoring existing YAML into reusable templates, unit testing with helm test and unittest charts, development of a custom chart for an enterprise web application, manifest generation via render for kubectl apply validation, focus on code maintainability for DevOps teams.

Module 3Managing Helm Releases: Upgrades, Rollbacks, and Hooks (values overrides, diff plugins)

Full release management with helm upgrade and install, values overrides per environment via --values and --set, use of pre/post install hooks for database migrations, simulation of upgrades with diff plugin for change previews, practical exercises on secure rollbacks following simulated errors, integration of plugins like helm-diff and helm-secrets for audits, real-world case of migrating monolith to Kubernetes microservices, monitoring releases with helm list and status, optimization of workflows for zero-downtime production deployments.

Module 4Advanced Production Helm: Umbrella Charts and CI/CD (ArgoCD, GitOps, security scanning)

Designing umbrella charts for complex multi-application stacks, nesting subcharts with dependencies, integrating Helm into GitLab CI or Jenkins pipelines for end-to-end automation, GitOps deployment with ArgoCD syncing Helm manifests, security scans via Trivy on charts and images, exercises on horizontal scaling via HPA in dynamic charts, production-ready delivery of capstone project enterprise chart, best practices for monitoring Prometheus/Grafana on Helm releases, preparation for DevOps certification skills with post-training support.

Evaluation method

  • Expert-level MCQ to validate Helm knowledge at the end of the training
  • Continuous assessment through practical exercises on custom charts
  • Defense of capstone project: production-ready umbrella chart

Learning method

  • Instructor-led sessions by a Helm and Kubernetes expert
  • Practical exercises based on real enterprise DevOps cases
  • Progressive capstone project with deployed Helm charts
  • Complete course materials and resources provided to participants

Methods, materials and delivery

The Training Helm - Automating Production Kubernetes Deployments program is delivered onsite or remote (blended-learning, e-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 Training Helm - Automating Production Kubernetes Deployments 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 Training Helm - Automating Production Kubernetes Deployments 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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