About TechElevate

Independent hands-on DevOps, cloud and AI learning platform.

Skills today · Higher tomorrow

Mission

TechElevate is a free, hands-on learning platform for DevOps, cloud and AI: guided skill tracks from Linux, shell and Git through Docker, Kubernetes, Terraform, AWS, Azure and Claude — plus a practice engine where you break things safely, troubleshoot real failure modes and prepare for certifications like the CKA. It is not a course to watch — it is a set of systems to wrestle with.

What Simulation Mode meansSimulation Mode

Every terminal and exercise here runs against an in-memory simulated Kubernetes cluster inside your browser tab. It models the behaviors these exercises teach — deployments, scheduling, services and endpoints, storage binding, RBAC, and common failure modes — deterministically and instantly.

It is not a real cluster: no containers run, no network packets flow, and the platform never claims otherwise. That trade gives you zero-setup, zero-risk practice; for the full real-world experience, pair it with a local cluster below.

Privacy — your progress, your account

What is stored: a single progress profile — exercise attempts, scores, hints used, streak, badges, mistake log, mock exam history.

Where: in your browser's local storage on this device, and — because practice requires an account — synced to your TechElevate profile so it follows you across devices. Nothing else is collected.

Why: readiness scores, recommendations and the mistake log need history to be useful.

Your controls: export your profile as JSON, import it on another device, or erase everything with the Reset button — all on the Progress page. Clearing your browser data also removes it completely.

Practice for real, on your machine

Every skill track pairs its lessons with hands-on work on your own machine. This is the fastest setup path per skill — each track's first topic walks through it in detail.

Linux & Shell Scripting

A disposable Linux you can break: WSL on Windows, a container anywhere with Docker.

wsl --install -d Ubuntu                      # Windows: full Ubuntu in WSL2
docker run -it --rm ubuntu:24.04 bash        # macOS/Linux: throwaway shell in seconds
multipass launch --name practice             # full VM alternative (all platforms)

Git

Just Git and a scratch repository — every exercise in the track builds on one.

brew install git   # macOS      |  winget install Git.Git   # Windows  |  apt install git  # Linux
git config --global user.name "Your Name" && git config --global user.email you@example.com
mkdir practice-repo && cd practice-repo && git init

Docker

Docker Desktop on macOS/Windows, Docker Engine on Linux.

# macOS/Windows: install Docker Desktop from docker.com, then:
curl -fsSL https://get.docker.com | sudo sh   # Linux
docker run --rm hello-world                   # verify the daemon works

Kubernetes

kind runs a real cluster inside Docker — the labs here simulate, this is the real thing.

brew install kind kubectl        # macOS  |  winget install Kubernetes.kind Kubernetes.kubectl  # Windows
kind create cluster --name practice
kubectl cluster-info --context kind-practice

Terraform + AWS

The Terraform CLI plus an AWS free-tier account (billing alarms first!).

brew install hashicorp/tap/terraform awscli   # or choco install terraform awscli
aws configure                                 # access key from your free-tier account
terraform init && terraform plan              # in any track exercise directory

Azure

The az CLI and a free Azure account ($200 credit for 30 days).

brew install azure-cli    # or winget install Microsoft.AzureCLI
az login
az group create -n rg-learn -l eastus         # the track cleans up after itself

Claude & AI

An Anthropic API key, plus Claude Code for the agentic lessons.

npm install -g @anthropic-ai/claude-code
export ANTHROPIC_API_KEY=sk-ant-…             # from console.anthropic.com
claude                                        # start Claude Code in any project

Kubernetes alternatives: k3d cluster create (k3s in Docker), minikube start, or Docker Desktop → Settings → Kubernetes → Enable.

Built by Anidha Tech Solutions LLP

TechElevate is designed, built and operated by Anidha Tech Solutions LLP, a technology consultancy focused on intelligent automation for DevOps, cloud, AIOps and data platforms. The platform grew out of the hands-on labs we run for the engineers we train — the same drills, now open to everyone.