Free, hands-on courses from Geek with the Peak — pick one to begin. Each is a ground-up path through a topic, module by module, with a narrated player, a lesson, flashcards, a quiz, slides, a study view and a two-voice podcast.
A ground-up, hands-on offensive-security course for technical people who are not (yet) hackers.
Pass the four official Anthropic Claude certifications — exam domain by exam domain, taught as the pattern vs the named anti-pattern.
Pass the CNCF Certified Kubernetes Administrator exam — two hours in a live terminal, taught task by task with the command that solves it and the trap that costs you marks.
The Kubernetes a newcomer needs before Spectro Cloud Palette: images, clusters, manifests, Deployments, Services and Helm, each shown on a real kind cluster and then where Palette meets it.
What Spectro Cloud Palette is, how it reaches your clusters, how a tenant is organised, what profiles and packs are, and exactly what the enterprise tier adds, ending with your first cluster under Palette.
The solutions architect's track: decode a customer brief, architect Palette for an edge-plus-cloud estate, pitch it honestly against the competition, and close enterprise deals, with NorthStar Retail as the case you pitch.
Beyond day-to-day Palette: LoadBalancers, ingress and virtual clusters, a real lab taken apart end to end, governance at scale, packs and the edge, and troubleshooting as a method, every operation four ways.
Palette builds the clusters: controller mode on AWS, Azure and GCP, the data centre and the Private Cloud Gateway, your own OS, Palette run yourself, fleet operations, and a capstone fleet you design and defend, every operation four ways.
When Palette is yours to run: the Management Appliance, activation and the system console, VerteX and FIPS, air-gapped installs, upgrades and management-plane backup, every operation four ways and honest about what a default tenant cannot show.
Virtual machines beside containers under Palette: KubeVirt and the VMO pack on a full-permission import, VM operations and VM roles, then the VM Migration Assistant and VM Launchpad, every operation four ways.
GPUs under Palette, the PaletteAI platform and the Inference Launchpad: what each one is, what it runs on, what it needs, and where a GPU you cannot buy at home stops the lab, every operation four ways.
Run Kubernetes fleets through Spectro Cloud Palette — every operation shown in the console, then as the identical API call, Terraform resource and MCP tool, with the gotcha a real lab paid for.
