The DMI track is the spine — 14 weeks, graded, in order. Pick where you join it, then follow the path below. Each stage also shows the Udemy course that covers the same ground, and what you can learn free on YouTube.
This is the real curriculum — every week is assignments you submit and that get graded. Gold tags are the Udemy course covering that ground if you would rather take it standalone.
How the internet and networking actually work, the working habits the rest of the track assumes, and using agentic AI as a daily engineering tool rather than a novelty.
Linux and bash until the terminal stops being scary, Git and GitHub the way teams actually use them, and the DevOps lifecycle that ties planning to delivery.
AWS first and properly — accounts, budgets, core services — then Azure, so you are not locked to one provider when you start applying for jobs.
Stop clicking in consoles. Terraform for provisioning, Ansible for configuration, and Azure DevOps pipelines to run it all without you watching.
Docker from a first container to a real deployment, then Kubernetes — pods, services and the operational reality of running them.
Put the whole stack together into one deployed, reviewable project — the thing you actually show a hiring manager, and what your badge page links to.
Same material, three different levels of commitment and support.
Start here if you are still deciding whether this field is for you, or you want to sample the teaching before paying anything.
Best when you need one specific skill — Linux, Terraform, a certification — rather than the whole path, and you are happy working unsupervised.
The whole 14 weeks in order, with work that is actually marked. Pick this if you want a portfolio and evidence, not just watched hours.