Scalable Apps with K8s & Helm
Automate, scale, and deploy cloud-native applications like a pro.
30-Day Money-Back Guarantee
Suitable For All Skill Levels
Interactive & Developer-Friendly
Why Learn Kubernetes & Helm
Kubernetes is the backbone of modern DevOps workflows, used by Netflix, Google, and other tech giants.
Helm makes deploying complex applications fast and repeatable.
Demand for K8s engineers is booming: $130k+ salaries and remote-friendly roles.
Who It’s For
DevOps Engineers: Automate infrastructure and CI/CD pipelines.
Cloud Architects: Manage scalable, secure applications in Kubernetes.
Beginners in Cloud: Build a portfolio and prepare for certification (CKA/CKAD).
What You’ll Learn
Set up and manage Kubernetes clusters on AWS/GCP.
Deploy applications using Helm with real-world chart examples.
Configure monitoring, auto-scaling, and rolling updates.
Handle secrets, persistent volumes, and service discovery.
“The bonus modules on GitOps are gold. My CI/CD is now fully declarative”
Mikhail T., DevOps Lead @ Tenendo
Course Program (Modules)
We'll break the curriculum into logical tracks, just like in the Selenium/Terraform examples.
Module 1: Introduction and Setup
What is Kubernetes and Helm; Installing Minikube and kubectl; Helm vs kubectl: Why use both?; Setting up your first cluster
Module 2: Kubernetes Core Concepts
Pods, Deployments, Services; Namespaces, ReplicaSets, and LoadBalancers; Networking & DNS inside K8s
Module 3: Helm Fundamentals
Installing Helm & understanding Charts; Creating your first Helm Chart; Using values.yaml and templating
Module 4: Real-World Helm Deployments
Deploying WordPress + MySQL using Helm; Managing dependencies with; Using Helmfile for multi-chart orchestration
Module 5: Managing Config & Secrets
ConfigMaps vs Secrets; Injecting environment variables into Pods; Managing secrets with sealed-secrets or Vault
Module 6: Advanced K8 Operations
Rolling updates and rollbacks; Probes: Readiness & Liveness; Node affinity & taints/tolerations
Module 7: Monitoring & Logging
Prometheus and Grafana setup via Helm; Metrics-server & Horizontal Pod Autoscaling; Centralized logging with Fluentd
Module 8: CI/CD with Helm & GitOps
Using Helm in GitHub Actions pipelines; GitOps with ArgoCD and Flux; Promoting environments using Helm values
Module 9: Troubleshooting & Scaling
Debugging crashing pods; Resource limits and requests; Scaling apps manually and automatically
Choose Your Plan
(We also offer custom pricing options…)
Explorer
$8
2 Introductory Models Only
Overview of K8s & Helm concepts
Not The Full Training, No Feedback
Professional Path
$60
Everything in Foundation Track
Assignments reviewed by mentors
Completion certificate
Mentorship Plan
$80
Everything in Professional Path
Weekly feedback sessions
Bonus modules (CI/CD, GitOps, Helmfile deep dive)
Enterprise Cohort
$199+
All course material for 5–15 team members
Company-specific use cases
Private support channel
Meet Our Team
Alexei Yermakov
DevOps Architect
Svetlana Petrova
Senior Kubernetes Engineer
Michael D. Carter
DevOps Lead Engineer
97%
Student Satisfaction Rate
4,900
Engineers Enrolled
38
Enterprise Teams Trained
“Thanks to this course I finally understood Helm dependencies and rolled out a production cluster at my new job.”
Elena K., Cloud Engineer