Git, GitHub & Worktrees for AI Teams
A practical Git foundations and collaboration course for AI teams: why Git exists, how Git differs from GitHub, how pull requests and forks work, when to use worktrees, and which tools make review safer.
Role fit
All professionals collaborating with AI on code and content
First work artifact
A channel-ready content brief with audience, angle, draft structure, and rights checks.
Freshness
Current release reviewed by AIErudit
Try the free preview before signup
Enrollment
No account required for the first lesson. Sign up when you are ready to save progress.
EU refund and withdrawal rights
EU buyers keep the minimum statutory withdrawal rights required by law. Digital-access limits are explained in the refund policy. Full policy
Free preview included
Certificate included
Lifetime access
Artifact practice examples
What you'll build
A channel-ready content brief with audience, angle, draft structure, and rights checks.
- Practice examplebranch-plan.md
Explain what Git is, why it was created, and why distributed history matters for modern delivery
- Practice examplepr-checklist.md
Use branches, commits, and pull requests without losing AI-generated work
- Practice examplerollback-notes.md
Choose when to use a branch, a fork, or a worktree for parallel delivery
No account required for the first lesson. Sign up when you are ready to save progress.
TL;DR
In about 4 hours across 7 modules, Git, GitHub & Worktrees for AI Teams helps you practice explain what git is, why it was created, and why distributed history matters for modern delivery with preview-safe lessons, hands-on checks, and a verifiable certificate path.
No account required for the first lesson. Sign up when you are ready to save progress.
EU refund and withdrawal rights Full policy
What you will produce
A usable work artifact, not passive notes
A channel-ready content brief with audience, angle, draft structure, and rights checks.
The free preview lets you inspect the course flow and decide whether the workflow fits your role before you buy the full sequence.
What you will do at work
Explain what Git is, why it was created, and why distributed history matters for modern delivery
Use branches, commits, and pull requests without losing AI-generated work
Choose when to use a branch, a fork, or a worktree for parallel delivery
Certificate sample
Verifiable completion certificate
A fictional sample showing the certificate format learners can verify after completing the course.
Open sample verification
Good fit if
- You match the course audience: All professionals collaborating with AI on code and content.
- You want a practical work artifact before a long theory track.
- You are willing to test AI output against review criteria, not vibes.
Probably not for you if
- You need the entire course to be free; only selected preview modules are open before purchase.
- You need formal accreditation, legal sign-off, SSO, or on-prem deployment promises.
- You want generic AI inspiration instead of role-specific exercises and artifacts.
Course syllabus
7 modulesCourse FAQ
How much time should I plan?
About 4 hours across 7 modules. Start with the free preview before committing.
What do I get at the end?
A verifiable completion certificate plus the artifact practice described above.
Do I need special tooling?
The preview path is browser-first. Advanced tools are introduced only when the course topic requires them.
Can I use this for company reimbursement?
Use the course page, price, certificate path, and role outcomes as evidence. Your employer decides reimbursement.
Can I preview before enrolling?
Yes. Start with the free preview module to inspect the learning flow before you create an account or buy the full sequence.
Who is this course for?
This course is designed for all professionals collaborating with ai on code and content who want a practical AI workflow rather than passive overview content.
Your instructor
Vitali Bibikov
Co-founder, CTO, software architect, and lead course architect, AIErudit
Co-founder, CTO, and lead course architect at AIErudit. Vitali is a software architect and engineering leader with 15+ years of development experience across cloud, backend, platform, and product delivery. He has worked with AWS and Azure, built production systems as a CTO and architect, and previously co-founded another startup with the AIErudit team. At AIErudit he turns enterprise AI, cloud architecture, and delivery patterns into hands-on courses for business analysts, product managers, systems analysts, CTOs, and engineering teams.
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Preview-first path
Try the free preview before signup
Open the preview now. Create an account only when you are ready to save progress or continue the paid sequence.
- You want a practical work artifact before a long theory track.
- EU refund and withdrawal rights: EU buyers keep the minimum statutory withdrawal rights required by law. Digital-access limits are explained in the refund policy.
- Free preview included
This course includes
7 in-depth modules
4 hours of content
1,340 XP to earn
Verifiable completion certificate
Hands-on exercises and quizzes
Lifetime access with updates