Kubernetes Package Management with Helm and GitLab CI — PickAClass
3.7 (9) ⏱ 2h 54m 📚 29 lessons 🎧 Audio version

Kubernetes Package Management with Helm and GitLab CI

Learn to package cloud-native applications, manage Kubernetes deployments with Helm charts, and automate release pipelines using GitLab CI.

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About this course

Managing multiple Kubernetes manifest files manually can quickly become overwhelming and error-prone as your applications scale. Streamlining this process requires a robust package manager to bundle, version, and deploy your resources efficiently. This text-based course guides you from Kubernetes packaging basics to automating production-ready deployments. You will gain a deep understanding of Helm architecture, learn to create and customize your own charts, and integrate them into automated GitLab CI/CD pipelines. What you'll learn: - Understand foundational Kubernetes packaging concepts, Helm architecture, and release lifecycles. - Create, customize, and configure reusable Helm charts using templates, values, and built-in functions. - Manage application deployments, rollbacks, and upgrades across different environments. - Publish and share charts using secure repositories and modern OCI-compliant registries. - Integrate Helm with GitLab CI pipelines to automate your Kubernetes deployment workflows. - Apply best practices for secure secret management and chart maintenance. You will start by exploring core packaging concepts and setting up your local environment. From there, you will progress through hands-on written exercises, moving from basic chart consumption to advanced templating and automated pipeline integration. This course is designed for beginners looking to simplify their Kubernetes workflows. No prior experience with Helm or GitLab is required, though a basic familiarity with Kubernetes concepts is helpful. Start reading today to master Kubernetes package management and automate your delivery pipelines.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 54m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Kubernetes Package Management with Helm and GitLab CI
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
Kubernetes Package Management with Helm and GitLab CI
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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