Which Zero to Hero Site Should I Start With?¶

In one line: Four free sites cover cloud, data, security and AI; this page tells you which one fits your goal, the exact page to open first, and the order to take them in if you want all four. Last reviewed: 2026-10-22

The short version¶

• Cloud Zero to Hero is the foundation: computers, networks, servers, the big cloud providers, Kubernetes and DevOps. If you have never opened a terminal, start there.
• Data Zero to Hero is for working with data: SQL, databases, pipelines, streaming and analytics.
• Security Zero to Hero is for protecting systems and people: identity, encryption, detection, compliance and the security certifications.
• AI Zero to Hero is for using and building with AI: what models are, using AI well at work, building AI apps, and keeping them safe.
• Not sure? Pick the job you want, find it in the table below, and open the page it names. You can switch sites at any point; they link to each other wherever subjects meet.

All four sites are free, need no signup, and are built by Nobler Works.

Who each site is for¶

Cloud Zero to Hero¶

cloud.noblerworks.com is for people who want to run software on AWS, Azure, Google Cloud or Oracle Cloud: cloud engineers, solutions architects, DevOps engineers, platform engineers and SREs, plus developers who want to understand where their code runs.

What you would learn there:

• The basics, assuming nothing. Day One covers the terminal, git, HTTP, servers and your first container.
• The core of cloud. Cloud from Scratch walks from "what is cloud?" through compute, storage, networking, identity, infrastructure as code, containers and Kubernetes, to designing a real system.
• Hands-on builds, architecture patterns and CLI cheat sheets for when you want to make something.
• Certification study guides across the major cloud, Kubernetes, Terraform, Linux and networking exams, plus career roadmaps that put them in order.

Data Zero to Hero¶

data.noblerworks.com is for people who want to work with data: data engineers, analytics engineers, database administrators, and analysts who want to go deeper than spreadsheets.

What you would learn there:

• Data from Scratch, a path from "what is a table?" through SQL, modeling for analytics, pipelines, streaming, data quality and governance, and data in the cloud, then a fork into data engineer, analytics engineer or DBA.
• Concept pages on ideas like ETL versus ELT, batch versus streaming, warehouses versus lakehouses, and indexes.
• Builds and patterns: a data pipeline, a dbt project, lakehouse and data mesh designs.
• Certification study guides for the cloud data exams and for platforms such as Databricks, Snowflake, Kafka and MongoDB.

Security Zero to Hero¶

security.noblerworks.com is for people who want to protect systems: security analysts, security engineers, cloud security specialists, and anyone who owns a compliance audit.

What you would learn there:

• Security from Scratch, a path from "I have never thought about security" through how attacks work, identity and access, protecting data, cloud security, detection and response, and governance, then a choice of specialism.
• Concept pages on identity and MFA, encryption, zero trust, threat modeling, logging and incident response.
• Compliance guides to frameworks such as SOC 2, ISO 27001, NIST CSF, HIPAA, PCI DSS and GDPR, in plain English.
• Certification study guides from Security+ through CISSP, CCSP, OSCP and the cloud security exams.

AI Zero to Hero¶

ai.noblerworks.com is for everyone touched by AI, technical or not: people who want to use AI well in their job, managers rolling it out, developers building AI apps, machine learning engineers, and the curious.

What you would learn there:

• Paths by audience: AI for Everyone, AI for Leaders, the AI Engineer Path, the ML Engineer Path, and the full AI Zero to Hero Path.
• AI at work: playbooks by role, real use cases, and a kit for rolling AI out to a team.
• Building: chatbots, retrieval (RAG), agents, evals and fine-tuning, step by step.
• Safety and governance: prompt injection, agent security, and the rules such as the EU AI Act.
• AI certification study guides, plus plain-language summaries of the research papers the field rests on.

Pick by goal¶

Find the row closest to what you want, then open the starting page. It is fine to start on one site and drift to another.

A note on the manager row: AI for Leaders is written for managers of any team. If you manage a cloud, data or security team, the career roadmaps on that team's site show what your people are working towards.

The decision, as a flowchart¶

flowchart TB
    Start([What do you want to do?]) --> Basics{Comfortable with a terminal and how the web works?}
    Basics -- No --> DayOne[Cloud: Day One]
    DayOne --> Goal
    Basics -- Yes --> Goal{Main goal?}
    Goal -- Run systems in the cloud --> Cloud[Cloud: Cloud from Scratch]
    Goal -- Work with data --> Data[Data: Data from Scratch]
    Goal -- Protect systems --> Security[Security: Security from Scratch]
    Goal -- Use or build with AI --> AIKind{Use it or build with it?}
    AIKind -- Use it in my job --> Everyone[AI: AI for Everyone]
    AIKind -- Lead a team using it --> Leaders[AI: AI for Leaders]
    AIKind -- Build apps on it --> Engineer[AI: AI Engineer Path]
    Goal -- Pass a specific exam --> Exam[That site's certification hub]

The flowchart starts with one question about the basics, sends beginners to Cloud's Day One first, then routes by main goal to the starting page on the cloud, data, security or AI site, with AI split into using it, leading a team that uses it, and building with it.

If you want all four¶

A sensible order for someone who wants the whole picture:

1. Cloud first. Day One and Cloud from Scratch teach the ground everything else stands on: servers, networks, identity, and how cloud providers work. The other three sites assume it and link back to it.
2. Then data or security, in whichever order your job needs. Data from Scratch and Security from Scratch both start with a short "basics" phase that points back to Cloud; with Cloud done you can skim it.
3. AI last, or alongside. The non-technical AI paths (AI for Everyone, AI for Leaders) need no background and can be read at any point. The AI Engineer Path is easier once you know cloud basics, and retrieval makes more sense once you know how data is stored and searched.

You do not have to finish one site before opening the next. Most people end up dipping into all four as their work crosses subjects.

Where the sites overlap¶

The four sites split one subject area between them, so each topic has one home and the others link to it rather than repeat it. The main crossings:

Next steps¶

• Cloud Zero to Hero - the learn hub
• Data Zero to Hero - the learn hub
• Security Zero to Hero - the learn hub
• AI Zero to Hero - the learn hub