Many AI developers and self-taught programmers worry about making mistakes when modifying code, causing changes to break the project and be unrecoverable; during multi-person collaboration, files get chaotic and code gets lost. Git and GitHub are the core tools to solve these problems. This course starts from Git basics and gradually takes you through version management, gets you started with GitHub remote repositories, and completes the full process from local archiving to online collaboration.
The course has 22 lessons in total. First, solidify Git local fundamentals: start with Git basic concepts, version creation and rollback, clarify the logic of the working area and staging area, and practice high-frequency operations such as modification management, undoing changes, file comparison, and file deletion; then dive into the branch system, learn branch creation and merging, master conflict resolution, understand branch management strategies and bug branch handling solutions, and thoroughly grasp the core ideas of branch development.
After mastering local fundamentals, move on to GitHub hands-on practice: step-by-step teach you to create remote repositories, configure SSH passwordless login, clone projects, push code, track remote branches, pull updated code, and finally implement real workplace development workflows. The course is entirely practice-oriented, avoiding obscure theory, with demonstrations for every knowledge point. After learning, you can archive projects at any time, roll back versions with one click, collaboratively develop code with others, and securely host your AI projects online.
The course is suitable for independent AI developers, zero-basics self-taught programmers, those doing small products as a side business, and learners who want to standardize code management. After learning this skill set, you will no longer fear breaking projects, and it is also an essential underlying capability for launching SaaS, mini-programs, and AI applications.
The course runs through every knowledge point with hands-on operations, progressing step by step from local version management to remote repository collaboration, helping learners build code management habits that are rollback-capable, traceable, and collaborative. During learning, you can follow the demonstrations and practice committing, undoing, branch merging, and remote synchronization in your own projects, placing easily confused concepts into real operations for understanding. After completing the course, you will be more confident when facing scenarios such as project error correction, multi-person collaboration, and code hosting, and it will also lay a solid engineering collaboration foundation for subsequently developing AI applications, mini programs, or SaaS products.