Helm is a popular Kubernetes package manager that streamlines the installation and management of containerized applications. As more businesses transition to cloud-based infrastructure, the demand for skilled Helm practitioners continues to rise. With the proliferation of online learning resources, accessing quality Helm training has become easier than ever. This article explores some of the best online courses available for those seeking to enhance their Helm knowledge and skills.
Here’s a look at the Best Helm Courses and Certifications Online and what they have to offer for you!
10 Best Helm Courses and Certifications Online
- 10 Best Helm Courses and Certifications Online
- 1. Helm 3 – Package Manager For Kubernetes for 2022 by Himanshu Sharma (Udemy) (Our Best Pick)
- 2. HELM – Package Manager for Kubernetes Complete Master Course by MUTHUKUMAR Subramanian (Udemy)
- 3. Helm Kubernetes Packaging Manager for Developers and DevOps by Bharath Thippireddy (Udemy)
- 4. Helm – The Kubernetes Package Manager hands-on course by Ahmed Elfakharany (Udemy)
- 5. Helm Basics Guide 2022 by Learn Tech Plus (Udemy)
- 6. Learn DevOps Helm/Helmfile Kubernetes deployment by Jan Toth (Udemy)
- 7. Helm Masterclass by Warp 9 Training (Udemy)
- 8. Learn Kubernetes Docker/DevOps and helm charts from scratch by Jan Toth (Udemy)
- 9. Master HELM3 in 3 hours – Kubernetes Package Manager by Shantanu Das (Udemy)
- 10. Helm – The Kubernetes Package Manager – 1 Hr Crash Course by Sai ram (Udemy)
1. Helm 3 – Package Manager For Kubernetes for 2022 by Himanshu Sharma (Udemy) (Our Best Pick)
The course title, “Helm 3 – Package Manager for Kubernetes for 2022,” is taught by Himanshu Sharma. The course covers a range of topics, such as Helm Architecture and concepts, working with Charts and Releases, creating custom Helm Charts, and deploying applications to Kubernetes using Helm. Students will also learn how to work with Stable and Custom Helm Charts, create automated Kubernetes Deployments with Helm, and master troubleshooting tricks that are not found anywhere else.
The course is ideal for DevOps engineers, software developers, sysadmins, and technical support engineers who are dealing with Kubernetes projects or have an understanding of Kubernetes and would like to apply the deployment best practices using Helm. Prior knowledge of Kubernetes architecture and components, basic Linux commands, and basic Kubernetes setup and commands are required.
The course is divided into several sections, including Introduction, Setup, HELM Basics, Chart deep dive, and Deploying Grafana with HELM. The section on HELM Basics covers topics such as Charts and Hooks, Custom Helm chart development, chart dependencies, and chart variables. The course also covers how to work with multiple Values.yaml, creating a template file, and using IF, ELSE, and ELSE IF statements in advanced templates.
The course also includes sections on ChartMuseum, its installation and configuration, and a deep dive into using ChartMuseum. Additionally, the course covers how to deploy Commercial applications like Grafana and pull Grafana chart to play around with it. The final section covers useful links and resources.
Overall, the course is a comprehensive guide to mastering Helm, a must-have tool for every DevOps engineer. The course covers a range of topics, from installation and configuration of Helm to expert troubleshooting tricks, and is ideal for those who want to learn advanced concepts in Kubernetes, manage and optimize Kubernetes application deployment, and anyone wanting to master Helm.
The HELM – Package Manager for Kubernetes Complete Master Course is an educational program designed to teach participants how to build, store, share, install, and upgrade cloud native software for Kubernetes using Helm from CNCF. The course covers a wide range of topics, including Helm package manager installation and configuration, custom chart development, working with Helm chart repositories, Helm architecture, and interaction with Kubernetes RBAC.
Participants will also learn about Helm Provenance and Integrity, how to search and find charts from Helm hub and repo, understanding chart structure and customizing charts, deploying and testing charts, and managing chart dependencies. The course covers chart built-in objects, chart value files, chart template functions, and pipelines, chart variables and flow control, named templates and inner templates, and debugging templates.
In addition, the course covers ChartMuseum installation and configuration and Minikube installation and configuration to use with HELM. The course is divided into several sections, including Introduction, Chart-Templates, Repository Management, Chart Management, Testing and Verification, Kubernetes REVISION, and Resources. By the end of the course, participants will have a solid understanding of how to use Helm to manage Kubernetes packages effectively.
The Helm Kubernetes Packaging Manager for Developers and DevOps course teaches learners how to use Helm to package, install, and upgrade Kubernetes applications. The course is suitable for both beginners who want to master Helm and experienced developers who want to learn about the fundamentals of Helm. Learners will discover what Helm is, why it is used, and how to use Helm commands to add repositories and use charts. The course covers topics such as release records, release workflow, advanced Helm commands, and atomic installations. Learners will also learn how to create their own charts, master the folder structure, and package charts.
The course also dives deep into Helm templating syntax and covers functions, conditional statements, loops, and more. Learners will discover how to add chart dependencies, run chart tests, and host and use chart repositories. The course covers chart security and how to secure charts using signatures and hashes. Learners will work on a use case and deploy a Micro Service to Kubernetes using Helm within minutes.
To take this course, learners must have good knowledge and experience working with Kubernetes and access to a Kubernetes Cluster using Kubectl. The course is divided into several sections, including Introduction, Helm Fundamentals, Helm in Action, Advanced Commands, Create Charts, Templates Deep Dive, Advanced Charts, Repositories, Chart Security, Usecase, Starters, Plugins, More Helm, and Wrap-Up.
Adding Helm to a resume can increase the number of job opportunities and salary, as thousands of companies, including Oracle, Salesforce, LinkedIn, and Dell, use Helm for releases and upgrades to Kubernetes. Overall, the course teaches learners how to use Helm to manage Kubernetes installations and upgrades in easy steps.
The Helm – The Kubernetes Package Manager hands-on course, instructed by Ahmed Elfakharany, teaches students how to use Helm as a tool for packaging Kubernetes manifest files. The course covers deploying ready-made Helm charts to Kubernetes, customizing charts to meet specific needs, and building and pushing charts to create Helm repositories. In addition, students will gain knowledge about popular community-based Helm projects and explore different Helm plugins to automate tasks and store charts in the cloud. By the end of the course, students should have a working knowledge of Helm and the ability to automate day-to-day deployments while also contributing to the community. The course is designed to focus on the core aspects of Helm, and students are encouraged to do labs to gain hands-on experience. The course offers a 30-day money-back guarantee.
The course covers a range of topics, including deploying Helm to minikube, understanding Helm repositories, adding Helm repositories to a system, and searching Helm repositories for desired charts. Students will also learn how to customize Helm charts by modifying the values file, create their own Helm charts, and test Helm templates without applying them using the dry-run flag. The course also covers topics such as upgrading and viewing Helm chart deployment history, using Helm functions, decision making using conditional and logical statements, and deep diving into Helm variables. Additionally, students will learn how to create their own Helm repositories and push charts, deploy complex Kubernetes environments using Helm chart dependencies, and use different Helm plugins to automate repetitive tasks and store charts in the cloud.
The course is designed to teach students how to use Helm to automate day-to-day deployments while also contributing to the community. The course is structured in a way that focuses on the core aspects of Helm, with labs to provide hands-on experience. Students are encouraged to open their laptops and complete the labs in the class to gain the most from the course. The course is aimed at individuals who want to advance their DevOps career by adding Helm as a skillset.
The Helm Basics Guide 2022 is a course offered by Learn Tech Plus, led by instructor Josh Werner. The course is designed to teach students everything they need to know about Helm Basics from scratch, making it great for beginners and those looking for a refresher. Helm is an in-demand skill in 2022, and this course covers all the fundamentals of Helm Basics. There are no prerequisites for enrolling in the course, and students are encouraged to approach the material with an open mind.
The course is divided into five sections: Introduction, Helm, How-to, Topics, and Conclusion. The Introduction provides an overview of the course, while the Helm section covers installing and using Helm. The How-to section focuses on chart development tips and tricks, syncing chart repositories, and using the Chart Releaser. The Topics section covers a wide range of topics, including Helm architecture, role-based access control, and the Helm Plugins Guide. The Conclusion section summarizes the course content.
Throughout the course, students will learn about Helm architecture, chart development, and advanced Helm techniques. They will also gain knowledge of Kubernetes distribution and permissions management for SQL storage backend. The course is structured to provide a comprehensive understanding of Helm Basics, and students are encouraged to review the course description and preview videos before enrolling. Overall, the Helm Basics Guide 2022 is an excellent resource for anyone looking to learn about Helm.
The course titled “Learn DevOps Helm/Helmfile Kubernetes deployment” is taught by Jan Toth. The course aims to provide a comprehensive guide to deploying applications to Kubernetes cluster in AWS using the standard helm chart via helm version 3 and helmfile binaries. The course will cover particular HELM CHARTS such as Jupyter Notebooks, MySQL, Gogs, Jenkins, Chartmuseum, Grafana, Prometheus, and Nginx Ingress Controller as LoadBalancer. The course will provide practical context to help students understand the concepts accurately.
The course is divided into several sections including an introduction, dealing with Kubernetes deployment specifications in form of YAML, introduction to helm charts, and helmfile. The course instructor will explain everything in practical context to help students put together their thoughts accurately.
One of the main motivations for creating this course was to provide a comprehensive explanation of deploying applications to Kubernetes cluster in AWS using the standard helm chart via helm version 3 and helmfile binaries. The course will cover various HELM CHARTS such as Jupyter Notebooks, MySQL, Gogs, Jenkins, Chartmuseum, Grafana, Prometheus, and Nginx Ingress Controller as LoadBalancer. The course instructor, Jan Toth, will explain everything in a practical context to help students better understand the concepts.
The course will cover how to create helm charts from scratch to deploy various applications such as Jupyter Notebooks, MySQL, Gogs, Jenkins, Chartmuseum, Grafana, Prometheus, and Nginx Ingress Controller as LoadBalancer. The course will also cover how to deal with Kubernetes deployment specifications in form of YAML and introduction to helmfile. The course instructor will explain everything in a practical context to help students better understand the concepts.
The course will cover various HELM CHARTS such as Jupyter Notebooks, MySQL, Gogs, Jenkins, Chartmuseum, Grafana, Prometheus, and Nginx Ingress Controller as LoadBalancer.
The Helm Masterclass is a course that teaches participants how to use Helm, a tool that allows for the templating of Kubernetes files. Helm simplifies the process of managing constant changes to multiple environments and applications by using a values file to customize each deployment. The tool is often referred to as the “package manager for Kubernetes” as it allows for the deployment of charts and their dependencies in a single command. The course covers various topics, including advanced conditional logic, setting up and using Chart Museum, and troubleshooting techniques. The course instructor, TJ Addams, has been working with Helm for the past three years and has experience working on large-scale projects. The course is designed to teach participants everything they need to know to start using Helm immediately.
This course titled “Learn Kubernetes Docker/DevOps and helm charts from scratch” is instructed by Jan Toth. It is designed to provide students with a comprehensive understanding of Kubernetes, starting from its basic operations using kubeadm.
The course begins by teaching students how to start a Kubernetes cluster with two nodes (master/worker) and covers the process of writing two microservices using Python Flask as the back-end and React as the front-end. Students will also learn how to Dockerize these microservices and write their own Helm charts from scratch.
In addition to the above, the course has been updated with new lectures on Helm v3 and how to use Terraform to start the very same Kubernetes cluster. Students will also learn how to deploy micro-backend and micro-frontend helm chart to Kubernetes, scale up their deployment for micro-backend/micro-frontend helm chart in Kubernetes, and use their own Helm chart repository.
The course is divided into several sections which include an Introduction, Setup Single Master Kubernetes (On-premise), Join Worker node to Single Node Kubernetes cluster, Terrafrom – start your Kubernetes cluster automatically, Design and write a simple back-end Python app, Front-end Flask app, Get used to helm chart deployment – Dokuwiki, Helm Charts – Python Flask Backend, Helm Charts – React Frontend, Scale your back-end/front-end deployments, Setup your own helm chart repository, and How to use Helmfile for several deployments at once.
Overall, this course is ideal for anyone seeking to acquire practical skills in Kubernetes, Docker/DevOps, and Helm charts.
The Master HELM3 in 3 hours – Kubernetes Package Manager Course is designed to teach developers and infrastructure enthusiasts how to install, deploy, and upgrade Kubernetes applications using Helm. Helm is a package manager for Kubernetes that allows the creation, versioning, sharing, and publishing of charts, which define Kubernetes applications. With Helm, users can create new charts, interact with chart repositories, and manage the release cycle of installed charts. The course focuses on the best practices of package management via HELM deployment, providing condensed years of learning to get started with Helm.
The course covers the HELM architecture, evolution, and how it differs from using Kubectl Apply -f *yaml for application deployment. It also covers the creation of charts from scratch, chart packaging, and the use of Values.yaml, Charts.yaml, template folders, helper template files, and NOTES.txt. Students will learn how to convert existing Kubernetes manifests into HELM charts and how to deploy PostgresSQL and pull HELM charts from public repositories to deploy on a cluster. The course also covers HELM release/versioning/rollback, HELM dry-run to validate templates before deployment, and testing Kubernetes charts.
The course is divided into six sections: Introduction to the Course, Introduction to HELM & Kubernetes, HELM 101 – Covering basics, HELM loops & flow control, Deploy PostgresSQL with HELM, Deploy Grafana/Promethus via HELM, and HELM CI CD Pipeline. Students who complete the course will have the knowledge and skills to apply HELM deployment in real-world scenarios, from custom APIs to ELK stack deployment. Adding HELM knowledge to one’s portfolio can increase opportunities and improve knowledge of the best and most efficient ways to automate Kubernetes object deployment.
The “Helm – The Kubernetes Package Manager – 1 Hr Crash Course” is an online course instructed by Sai ram. The course provides a deep dive into using Helm to deploy applications to Kubernetes and covers the use of custom and stable charts. The course is divided into two main sections, focusing on how to use stable charts and how to create custom charts.
The ideal student for this course would be DevOps engineers, software developers, sysadmins, or anyone with an understanding of Kubernetes who wants to apply deployment best practices using Helm and learn more about its capabilities.
Before beginning the course, students must have a Google Account with access to the Google Cloud Console and a billing account enabled for the project. The course provides step-by-step instructions on how to create a Google Cloud Project and a Kubernetes Cluster using default settings.
The course is divided into five sections, including an introduction to Helm, an overview of its architecture and core components, working with stable charts, working with custom charts, and a wrap-up section. By the end of the course, students will have gained an in-depth understanding of Helm’s functionality and be able to use it to manage Kubernetes deployments efficiently.