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GitHub: From Zero to Pull Request

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GitHub: From Zero to Pull Request

This course is part of Mastering GitHub Specialization

Instructors: Noah Gift

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

2 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

2 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Build your subject-matter expertise

This course is part of the Mastering GitHub Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Learn Git and GitHub from the ground up, then apply Artificial Intelligence (AI) agents to automate development workflows. This course takes you from installing Git and creating your first repository to submitting pull requests, contributing to open source, and building custom AI agents with Model Context Protocol (MCP).

You will start with Git fundamentals: initializing repositories, staging and committing changes, and safely undoing work with revert and reset. From there, you will connect local repositories to GitHub using push, pull, and clone, and learn to collaborate through branching, pull requests, and code review. The course covers community workflows including forking, issue tracking, and automating Continuous Integration and Continuous Delivery (CI/CD) pipelines with GitHub Actions. You will also configure gitignore patterns to keep sensitive files out of version control and write effective README documentation in Markdown. The final module introduces AI agents on GitHub: the progression from code-completion assistants to autonomous agents, how agents interact with repositories and Application Programming Interfaces (APIs) through tool execution, task selection criteria, security boundaries, and building custom agents that connect to external tools via MCP.

Module details

Covers Git version control fundamentals, repository initialization, staging and committing, undoing changes, connecting to GitHub, and synchronizing with remote repositories via push, pull, and clone.

What's included

6 videos8 readings1 assignment

6 videosTotal 21 minutes

What is Git and Github?3 minutes
Installing Git4 minutes
Your First Repo4 minutes
Undoing Changes4 minutes
Joining GitHub3 minutes
push, pull, clone4 minutes

8 readingsTotal 26 minutes

Introduction to Course10 minutes
Key Terms: Understanding Git10 minutes
Installing and Using Git1 minute
Reflection: Understanding Git1 minute
Key Terms: Local Git Workflows1 minute
Reflection: Local Git Workflows1 minute
Key Terms: GitHub Integration1 minute
Reflection: GitHub Integration1 minute

1 assignmentTotal 5 minutes

Git Foundations5 minutes

Covers branching strategies, pull request workflows, forking for open source contribution, issue tracking, GitHub Actions for Continuous Integration and Continuous Delivery (CI/CD), gitignore configuration, and README documentation.

What's included

7 videos6 readings1 assignment

7 videosTotal 18 minutes

Branching2 minutes
Pull Requests2 minutes
Forking2 minutes
Issues2 minutes
GitHub Actions3 minutes
Ignoring Files3 minutes
Writing a README3 minutes

6 readingsTotal 6 minutes

Key Terms: Branching and Pull Requests1 minute
Reflection: Branching and Pull Requests1 minute
Key Terms: Community and Automation1 minute
Reflection: Community and Automation1 minute
Key Terms: Repository Best Practices1 minute
Reflection: Repository Best Practices1 minute

1 assignmentTotal 5 minutes

GitHub Collaboration5 minutes

Covers the evolution from AI assistants to autonomous agents, how GitHub agents interact with repositories and tools, task selection criteria for agent automation, agent security and permission boundaries, and building custom agents with Model Context Protocol (MCP).

What's included

5 videos2 readings

A culminating project that integrates Git fundamentals, GitHub collaboration workflows, and AI agent capabilities into a complete development workflow, evaluated against real-world team collaboration standards.