Git for Beginners training course

Version control is at the centre of any file based project. Whether, you're a software developer, project manager, team member, student, or anyone who works on file based projects, keeping track of changes is essential to creating a great product. In this course you'll learn the popular version control system Git and why it plays a significant role in creating better projects.

JBI training course London UK

"I really liked how the lab work was integrated throughout the course"  

JS, Software Developer, May 22

Public Courses

14/09/26 - 2 days
£1495 +VAT
26/10/26 - 2 days
£1495 +VAT
07/12/26 - 2 days
£1495 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

  • Installation and Configuration
  • Key Terminology
  • Git - Local Repository Actions
  • Git - Remote Repository Actions
  • Tagging in Git
  • Branching in Git
  • Git Workflows
  • Git - Stashing Changes
  • Advanced Branching and Merging

Module 1: Introduction

•    What is a Version Control System (VCS)?
•    Distributed vs Non-distributed VCS
•    What is Git and where did it come from?
•    Alternatives to Git
•    Cloud-based solutions (Github, Gitlab, BitBucket etc)

Module 2: Installation and Configuration

•    Obtaining Git
•    Installing Git
•    Common configuration options
•    GUI tools

Module 3: Key Terminology

•    Clone
•    Working Tree
•    Checkout
•    Staging area
•    Add
•    Commit
•    Push
•    Pull
•    Stash

Module 4: Git - Local Repository Actions

•    Creating a repository (git init)
•    Checking status (git status)
•    Adding files to a repository (git add)
•    Committing files (git commit)
•    Removing staged files (git reset)
•    Removing committed files (git rm)
•    Checking logs (git log)

Module 5: Git - Remote Repository Actions

•    Creating a remote repository (git init)
•    Cloning repositories (git clone)
•    Updating the remote repository from the
•    local (git push)
•    Updating the local repository from the
•    remote (git pull)

Module 6 - Tagging in Git

•    What are Git Tags?
•    Listing tags
•    Lightweight tags
•    Displaying tag details (tag show)
•    Annotated tags
•    Checking out tags
•    Pushing tags
•    Pulling tags

Module 7: Branching in Git

•    What is a branch
•    HEAD
•    Listing branches
•    Create new branch
•    Checkout branch
•    Pushing branches
•    Pulling branches

Module 8: Merging in Git

•    Fetching Changes (git fetch)
•    Rebasing (git rebase)
•    Git Pull

Module 9: Git Workflows

•    Different ways of using Git
•    Centralised
•    Feature Branch
•    Gitflow Workflow
•    Forking Workflow

Module 10: Git - Stashing Changes

•    What is Stashing?
•    Using Stash
•    Creating a branch from a Stash

Module 11: Advanced Repository Actions

•    Removing untracked files (git clean)
•    Remove staged changes (git reset)
•    Revert a commit (git revert)
•    Checkout a previous commit (git checkout)

Module 12: Advanced Branching and Merging

•    Deleting a Branch
•    Fast forward merge
•    Three-way merge
•    Resolving merge conflicts

 

JBI training course London UK

This course is for developers and system administrators who want to really understand Git. Whether you just started using Git, or you've been using it every day for months - this course will ensure you have a mastery of the basics

5 star

4.8 out of 5 average

"I really liked how the lab work was integrated throughout the course"  

JS, Software Developer, May 22



“JBI  did a great job of customizing their syllabus to suit our business  needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and  the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022

 

 

JBI training course London UK

Certification


Every delegate will be entitled to a certificate of achievement on completion of the course.

If you are missing your certificate - please use the link below to apply - you can also use this link to sign up for the JBI Training newsletter to receive technology tips directly from our instructors - Analytics, AI, ML, DevOps, Web, Backend and Security.
 



Our Git training course sjows you how Git lets users build an archive of their work and make changes more quickly and easily since everything is documented. It also lets users start the process of shared source code collaboration by allowing teams of developers to work with each other more efficiently across multiple devices.

JBI Training offers three courses in this group. Git for Beginners is a two-day programme for those new to version control. GitLab CI — Pipelines and CI/CD is a one-day course covering GitLab's continuous integration and delivery pipeline features. Agentic Coding with GitHub Copilot is a three-day course covering how to work professionally with GitHub Copilot's agentic coding capabilities. All courses are available as scheduled classroom sessions in London, as live online instructor-led training, or as customised onsite programmes for development teams.
The Git for Beginners course is a two-day practical programme for developers, testers, and technical professionals who are new to Git or version control. It covers the core concepts of distributed version control, initialising and cloning repositories, staging and committing changes, working with branches and merging, resolving merge conflicts, working with remote repositories on platforms such as GitHub, GitLab, and Azure DevOps, using pull requests for collaborative code review, and applying standard Git workflows used in Agile and DevOps teams. No prior Git experience is required and the course uses hands-on exercises throughout to build confidence with everyday Git operations.
Git is a distributed version control system — a tool that runs locally and tracks changes to files and source code. GitHub, GitLab, and Azure DevOps are cloud-based platforms that host Git repositories and add collaboration, project management, and automation features on top. GitHub is the most widely used platform globally, particularly in open-source and technology company environments. GitLab is popular in organisations that want tighter integration between source control, CI/CD pipelines, and DevSecOps tooling — and is available as both a cloud service and a self-hosted installation. Azure DevOps is Microsoft's platform and integrates closely with the broader Azure and Microsoft ecosystem including Azure Pipelines, Boards, and Artifacts. JBI's Git training covers Git itself alongside practical use of these platforms.
The GitLab CI Pipelines and CI/CD course is a one-day programme covering GitLab's built-in continuous integration and delivery capabilities. It covers the structure and syntax of GitLab CI/CD pipeline configuration using the .gitlab-ci.yml file, defining jobs and stages, using runners, working with variables and secrets, building and testing code automatically on each commit, deploying to different environments, using GitLab's merge request pipelines, and applying best practices for reliable and maintainable CI/CD pipelines. It is suited to developers, DevOps engineers, and platform engineers who are using or adopting GitLab as their CI/CD platform.
Git branching strategies define how a development team uses branches to organise their work, manage releases, and collaborate without interfering with each other's changes. Common strategies include Git Flow (using long-lived feature, develop, release, and main branches), GitHub Flow (a simpler model based on short-lived feature branches and frequent merges to main), and trunk-based development (where all developers commit to a single main branch frequently, relying on feature flags to manage unfinished work). The right strategy depends on the team's size, release cadence, and deployment model. JBI's Git training covers branching strategies and helps teams understand the trade-offs between approaches so they can adopt a workflow that suits their development process.
Agentic Coding with GitHub Copilot is a three-day course covering how to work professionally with GitHub Copilot's agent mode — where Copilot can plan, write, execute, and test code across multiple files and steps to complete a development task, rather than simply completing a single line or function. The course covers how to specify tasks clearly for agentic workflows, how to evaluate and verify AI-generated code using test-driven development, how to steer agent behaviour when it goes off course, and how to integrate agentic coding tools into a professional development workflow responsibly. It is suited to software developers who are already using or planning to adopt GitHub Copilot and want to use its agentic capabilities effectively and safely.
Yes. All Git courses at JBI can be delivered as customised onsite or online programmes for corporate development teams. Content can be tailored to the team's preferred Git hosting platform — GitHub, GitLab, or Azure DevOps — their existing branching strategy and repository structure, and specific workflow challenges the team wants to address, such as improving pull request discipline, reducing merge conflicts, or adopting a consistent branching model across multiple teams. Training can also use the team's own repositories as the basis for practical exercises, making the learning immediately applicable to their real working environment. JBI has delivered Git and DevOps training for development teams at organisations including the BBC, NHS, RBS, Sky, EDF, and Cisco.
Yes. Git itself is stable and mature, but the platforms built around it — particularly GitHub, GitLab, and Azure DevOps — evolve continuously with new features for CI/CD, security scanning, code review, and AI-assisted development. GitHub Copilot in particular is updated frequently with new capabilities including improved agentic features, workspace integrations, and expanded language support. JBI's training content is continuously reviewed to reflect the latest versions of these platforms and tools, ensuring delegates learn skills and workflows that are current and applicable to the environments they work in today.

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