Visual-First Approach
Forget memorizing kubectl commands. Learn to understand Kubernetes through Lens's visual interfaceโsee resource relationships, events, and logs at a glance.
For Data Engineers & Full-Stack Developers
Wasting Hours Debugging Kubernetes with kubectl?
Context switching between terminals. Complex commands you can't remember. Troubleshooting that takes hours instead of minutes. Sound familiar?
Imagine This Instead
Debug Kubernetes visually in minutes, not hours. See all your resources, logs, and events in one place. Switch between clusters effortlessly. No more memorizing kubectl commands.
The Fix: Lens IDE๐
Lens is the Kubernetes IDE that gives you complete situational awareness. This bootcamp teaches you how to leverage Lens to become 5x more productive with Kubernetes.
What You'll Master
- 1
Module 1: Zero-Friction Setup
Connect Lens to Any Cluster
Learn the K3s/Cloud Shell method to provision a cluster and guarantee external access for Lens. Master multi-cluster context management and understand Kubernetes concepts visually.
- 2
Module 2: Visual Observability
Navigate the Resource API 5x Faster
Master the visual API walkthrough. Inspect resources, stream logs from multiple containers, and visualize dependencies between Services, Endpoints, and Podsโtasks that are notoriously difficult with the CLI.
- 3
Module 3: Developer Troubleshooting
Efficient Debugging Workflow
Diagnose broken deployments, analyze resource constraints visually, and apply the GitOps workflow. Final project: debug a complex multi-container data pipeline crash.
Early Access Pricing
- What the cohort included
- 149ย โฌper participant, as delivered
- Your own namespace on a shared managed Kubernetes cluster
- Zero-setup practice with K3s Cloud Shell
- Visual workflow mastery using Lens IDE
- 3 core modules: Setup, API Walkthrough, and Troubleshooting
- A finished project on your own GitHub, demoed live
A record of work delivered
This page documents a bootcamp that ran with a live cohort: Slack for support, live sessions over Google Meet, and a shared managed Kubernetes cluster. It is kept here as a record of the work rather than as an open enrolment.
Frequently Asked Questions
How is this different from CKAD/CKA courses?
CKAD/CKA courses are focused on passing exams and teaching administrative skills with kubectl. This bootcamp is focused on developer productivityโlearning to debug, troubleshoot, and deploy applications visually with Lens, not memorizing CLI commands.
Do I need prior Kubernetes experience?
Basic familiarity with containers (Docker) is helpful, but we cover core Kubernetes concepts visually in Module 1. This course is perfect for developers who are tired of slow kubectl workflows.
What if I don't have a Kubernetes Cluster
No problem! Module 1 teaches you the K3s/Cloud Shell methodโa simple, three-step process to provision a cluster in a free cloud shell environment with guaranteed external access for Lens. Zero local setup required.
How was it delivered?
As a cohort, not a self-paced course. Participants got a Slack channel for questions between sessions, live sessions over Google Meet, their own namespace on a shared managed Kubernetes cluster, and a fork of the lab repo through GitHub Classroom. Most of the work sat at 3-5 hours per week across a few weeks.
Can I take it right now?
Not as a public cohort โ none is scheduled. The material and the lab exist and are proven, so the practical route today is a 1:1 or small-team engagement built on the same syllabus. Get in touch and we will scope it.
Why This Bootcamp is Different
Zero-Setup Friction
No complex local installations. Use the K3s/Cloud Shell method to get a working cluster in minutes with guaranteed Lens connectivity.
Developer-Focused
Built for application developers, data engineers, and full-stack engineersโnot cluster administrators preparing for exams.
Technologies You'll Master
Hello!
My name is Louis Guitton.
I'm a Data & AI consultant who helps businesses generate more value from their Data. I have worked with scale-ups on their data strategy, Analytics or MLOps platforms, AI use cases and training. My former roles include Principal ML Engineer and VP of Engineering at OneFootball, a media scale-up from Berlin, Germany.
My technical blog posts have been published and mentioned on industry-leading sites like O'Reilly or Dzone, open-source library documentation like FastApi, and AI and data tool providers like Senzing, Nebula Graph or Atlan.
You can hear me speak at community meetups and industry conferences. Most recently I spoke about the Modern data stack at the Berlin dbt meetup, I talked about NLP models at the Argilla meetup, and about LLMs at the AI in production conference.
Cheers!
Ready to master Kubernetes the visual way?
Training on request
There is no public cohort scheduled at the moment. I run 1:1 and small-team sessions on request, including a module on hosting open-weight LLMs on Kubernetes.