Git & GitHub for Developers

Git basics are taught free by GitHub itself and by a thousand tutorials — and none of them make you employable, because anyone can commit. The professional skill is everything that happens after. Three things carry this course, and all three are absent from free tutorials. First, the headline: version control in the age of AI-authored code. When coding agents open pull requests directly — turning issues into PRs, iterating in the background, reviewing each other's output — the bottleneck moves from writing code to reviewing and integrating it. Branch protection, required reviews, status checks and repository governance stop being bureaucracy and become the primary control surface over what reaches production. AI-generated code carries the same risks as human code — vulnerable patterns, committed secrets, risky dependencies — only faster. We teach reviewing machine-generated changes at volume, keeping diffs reviewable, designing protection rules that hold when volume rises, and the provenance of who — or what — authored a change.

Second, recovery and history surgery — the confidence angle. The reason developers fear Git is that they don't know how to undo things. Recovering apparently lost commits, undoing a bad merge or rebase, resolving genuinely hard conflicts, bisecting to the commit that broke something, rewriting history safely versus dangerously. Nobody is senior until they can fix a repository at 11pm without panicking — and that is a teachable skill. Third, GitHub as a delivery and security platform, not a file host: automation pipelines, environments and deployment gates, governance rulesets, secret and code scanning, dependency vulnerability management, and supply-chain hygiene. That is platform-engineering territory, and it is where the professional value sits.

A structural note, made confidently: this course is shorter than its siblings on purpose. Five focused weeks that deliver real capability beat ten padded ones — you are learning a discipline, not a framework. And it multiplies everything else: every other course in this catalogue assumes you can collaborate on a shared codebase; this is the one that makes that true. Whether you are a fresh IT graduate whose public contribution history is your most verifiable credential, or a working developer who has used three Git commands for years — an enormous group, and the quiet embarrassment is exactly why it never gets fixed — this is the shortest path from "it works on my branch" to running the repository.

The Course That Multiplies the Others

Course at a Glance

• Duration: 5 weeks  |  ~35 hours  |  live + hands-on — deliberately shorter than its siblings
• Format: Live online  ·  scenario-driven labs on realistic repositories
• Prerequisite: You write code in some language; basic command line comfort. No prior Git experience required — but we go well beyond the basics quickly.
• Curriculum: 7 modules, from the object model to security, scale and capstone
• Portfolio: 8 scenario labs plus a governed-repository capstone — and a real open source contribution
• Curriculum reviewed: July 2026 — the platform ships continuously; this syllabus tracks current capabilities

Course Highlights

• Every module leads with what you build, ship or recover from — not what you "learn about"
• Git taught as a mental model of the graph — every confusing situation becomes obvious
• Recovery as a core competency: reflog, bisect, history surgery, hard conflicts
• Reviewing AI-generated changes at volume — what to check first, what humans must still own
• Governance as a control surface: protection rules, required checks, code ownership, merge queues
• CI/CD automation with environments, approval gates and release automation
• Security as practice: secret-leak incident response, dependency and code scanning, supply-chain hygiene
• A real open source contribution, start to finish — a credential anyone can verify

Hands-on Projects & Portfolio

Tools & Stack

Git GitHub GitHub Actions GitHub CLI pull requests & code review repository rulesets CODEOWNERS merge queues Dependabot secret scanning code scanning GitHub Projects pre-commit hooks semantic versioning conventional commits Docker VS Code

Career Outcomes

An honest framing: this is rarely a job title on its own. It is the skill that makes every other engineering role work — and it is disproportionately visible, because your commit history, pull requests and review comments are the most public artefacts of how you work. As more code is generated rather than typed, review, integration and governance become the scarce skills — exactly what free Git tutorials don't teach. And a well-maintained public contribution history is one of the few credentials a hiring manager can verify directly. Where it pays:

• Software Engineer at any level
• Senior Engineer and Tech Lead — review and governance are core to the role
• DevOps and Platform Engineer
• Release Engineer
• Engineering Manager
• Open source contributor building a visible public track record

Who This Course Is For

• Final-year students and fresh IT graduates who know commit and push — and freeze at anything else
• Developers with years of experience who have never learned Git beyond three commands — you are in very large company, nobody here will make you feel bad about it, and five weeks from now the problem is gone
• Engineers moving into senior, lead or review-heavy roles
• Teams adopting AI coding tools who now face far more pull requests than before
• DevOps and platform engineers owning CI/CD and repository governance
• Anyone who wants to contribute to open source but doesn't know how to start