Learn Helm from the basics to production-ready: environment setup & Kubernetes fundamentals, Helm 3 architecture, release installation & management, upgrade & rollback, values configuration, building charts & Go templates, dependencies & subcharts, hooks & lifecycle, schema validation, chart testing, documentation, packaging & versioning, chart repositories & OCI registry, library charts, chart security, multi-environment & Helmfile, plugins, the Helm SDK, CI/CD integration, GitOps with ArgoCD/Flux, troubleshooting, and production-grade deployment case studies.
The foundation before touching Helm: basic Kubernetes skills (Pod, Deployment, Service, ConfigMap, Secret, Namespace, Ingress), comfortable kubectl habits and YAML structure, plus a local cluster setup verified with helm version and your first pod.

Tracing the root causes of Kubernetes deployment pain — dozens of YAML files, environment configuration drift, and painful rollbacks — to the birth of Helm: from Deis in 2015, Tiller in 2016 which was removed due to security issues, to Helm 3 adopted by the CNCF in 2020.

Dissecting how Helm 3 works from the inside: client-only architecture without Tiller, release storage in Secrets, the Chart, Repository, Release, Values and Templates concepts, the chart directory structure, and the three-way strategic merge patch mechanism for upgrade and rollback.

Start using Helm: install Helm 3 via the installer script or a package manager, set up shell completion, learn the CLI structure, manage chart repositories, find charts on Artifact Hub, and make your first deployment with helm install.

Manage Helm releases professionally: helm install with the --wait, --timeout and --atomic flags, dry-run and debugging, reading status with helm list and helm status, exploring helm get, understanding the release status lifecycle, and proper uninstall.

Managing changes to a running release: the helm upgrade mechanism with three-way strategic merge, the --install, --force, and --recreate-pods options, values control with --reuse-values/--reset-values, safe upgrades with --wait, --timeout, and --atomic, then rollback.

Values are the interface between users and charts: the precedence hierarchy from default values.yaml, -f files, to --set on the CLI, how to set values, values file structure for complex data, and per-environment configuration patterns like values-dev.yaml and values-prod.yaml.

Shift from chart user to chart author: the helm create command and the structure it generates, the Chart.yaml file as the chart's identity, designing values.yaml with sensible defaults, basic Deployment, Service, and ConfigMap templates, and testing the chart with helm lint.

Opening the engine behind charts: Go Template syntax with {{ }} delimiters, actions and pipelines, {{- -}} whitespace control, if/with/range control structures, built-in functions like default, quote, toYaml, and indent, and how to access the .Values, .Release, .Chart, and .Files objects.

Completing the template vocabulary: string functions, type conversion, list and dict functions, an overview of the Sprig library (date, crypto, encoding, math, flow control), and the Helm-specific functions — include, required, fail, lookup, and toYaml — with real render output examples for every function.
