Tired of stitching together twenty blog posts? Every ThavionAI module is a full lesson with real commands and code, a hands-on exercise, a printable cheat sheet, an architecture diagram and a scenario quiz — and every track ends in a step-by-step project you can put on GitHub.
Each track runs from foundations to a capstone in four stages. Start at the beginning or jump to the module you need today.
Ship software: Linux, containers, CI/CD, Kubernetes, IaC, cloud.
Keep it reliable: SLOs, observability, incidents, capacity, releases.
Make it smarter: LLMs, RAG, agents, evals, MLOps, AIOps.
Defend it: threat models, identity, hardening, supply chain, detection, response.
Move and model data: SQL, pipelines, warehouses, streaming, quality, governance.
Build machines that sense, think and move — from your first blinking LED to an autonomous rover.
From what a blockchain actually is to deploying your own smart contracts and dApps — no hype, just how it works.
Pass the exam: study plans, domain guides, cheat sheets and practice questions.
A lesson you read, an exercise you do, a sheet you print, a diagram you remember, and a quiz that checks you understood — not that you memorised.
Every module ends with an exercise you can run on your own laptop, with the exact commands.
$ kind create cluster --name lab Creating cluster "lab" ... ✓ Ready $ kubectl create deployment web --image=nginx --replicas=3 $ kubectl rollout status deployment/web deployment "web" successfully rolled out $ kubectl get pods -o wide NAME READY STATUS NODE web-7d9f8c6b5-2xk9p 1/1 Running lab-control-plane web-7d9f8c6b5-h4m2q 1/1 Running lab-control-plane web-7d9f8c6b5-w8zv1 1/1 Running lab-control-plane
Where the request goes, who talks to whom, what the loop looks like — drawn for each mechanism the lesson hinges on.
The syntax and the handful of ideas that matter, in one page.
kubectl get pods -Aevery pod, every namespacekubectl describe pod NAMEevents: why it is not Runningkubectl logs -f NAME --previouslogs from the crashed containerkubectl rollout undo deploy/Xroll back the last deployFive questions that ask what you would do, not what a word means.
From an empty GitHub repo to dashboards, in plain numbered steps.
52 diagrams across the lessons, each one showing a mechanism: a request path, a control loop, a pipeline. Click through to the lesson it belongs to.
Each track has end-to-end projects written as plain steps: create the repo, set up the editor, branch and commit, wire the pipeline, provision with Terraform, deploy, and light up the dashboards.
Start from an empty GitHub repo and finish with a containerised API deployed by a pipeline onto Terraform-managed infrastructure, with logs, metrics and a Grafana dashboard.
AvailableInstrument a service, scrape it with Prometheus, define SLIs, set an SLO, write burn-rate alerts, build the dashboard and the runbook.
AvailableIndex a docs folder, build retrieval plus a grounded prompt, add citations, evals and tracing, and deploy it behind an API.
AvailableThreat model, harden the host and container, scan in CI, manage secrets properly, centralise logs and write detections.
AvailableIngest events to object storage, model with dbt, orchestrate with Airflow, add quality tests and serve a dashboard.
AvailableFrom bare board to a robot that follows a track: wiring, sensors, motor control and tuning.
AvailableWrite, test and deploy a token to a free testnet, then interact with it from a script and a wallet.
AvailableA kubeadm cluster you build, break and fix, with timed tasks mirroring the exam domains.
For each exam: the domains and their weight, a week-by-week study plan, the services and commands that actually appear, a cheat sheet, and scenario-style practice questions.
Domains, weightings, the services that actually appear, a 6-week study plan and scenario-style practice questions.
Guide availableIdentity, governance, storage, compute, networking and monitoring on Azure, with hands-on labs and practice questions.
Guide availableA performance-based exam: cluster setup, workloads, networking, storage, troubleshooting — and the kubectl speed you need.
Guide availableWorkflow, state, modules, providers, workspaces and HCP Terraform, with the questions the exam loves to ask.
Guide availableThreats, architecture, operations, governance: the vocabulary and the reasoning the exam rewards.
Guide availableEight domains, the manager's mindset, and how to study for a long adaptive exam without burning out.
One kit per role: what the job really involves, the skills that get tested, a question bank with model answers by topic, scenario and design prompts, and a two-week preparation plan.
CI/CD design, containers, Kubernetes, IaC and 'walk me through a deploy' questions, with model answers and a take-home style task.
Kit availableSLOs, incident scenarios, troubleshooting a slow service, on-call judgement, and the systems-design round.
Kit availableInternal platforms, golden paths, GitOps, multi-tenant Kubernetes and developer-experience questions.
Kit availableNetworking, IAM, cost, resilience and migration scenarios across AWS and Azure.
Kit availableLLM application design, RAG and agents, evals, serving and cost, plus classic ML fundamentals interviewers still ask.
Kit availableSQL live-coding, modelling, pipeline design, streaming trade-offs and data quality scenarios.
Kit availableThreat modelling on the spot, AppSec and cloud misconfiguration scenarios, incident response and secure design.
Everything in Engineering is free — no accounts, no upsells. Open a track, follow the lessons, and finish with a project that proves you can do the work.
Free and always will be. If it saved you time, a coffee keeps it going — entirely optional, one-time, secure checkout via Stripe.