Master Certificate in Git and GitHub for Machine Learning

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The Certificate Programme in Git and GitHub for Machine Learning is a comprehensive 30-unit master certificate designed to meet rising industry demand for version control expertise. As machine learning projects grow in complexity, proficiency in Git and GitHub becomes critical for collaboration, code management, and reproducibility.

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About this course

This programme equips learners with essential skills in branching, merging, and collaborative workflows, ensuring they can efficiently manage ML codebases. By mastering these tools, professionals enhance their employability and accelerate career advancement in data science and engineering roles. The curriculum bridges the gap between theoretical knowledge and practical application, preparing graduates for real-world challenges in tech-driven industries.

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Course Details

  • Introduction to Version Control Concepts
  • Installing and Configuring Git Environment
  • Initializing Local Git Repositories
  • Staging and Committing Code Changes
  • Understanding Git Working Directory and Index
  • Viewing Commit History and Logs
  • Comparing File Differences with Diff
  • Undoing Changes and Resetting Commits
  • Branching Strategies for Machine Learning Projects
  • Creating and Switching Git Branches
  • Merging Branches and Resolving Conflicts
  • Rebasing vs Merging Best Practices
  • Tagging Releases for Model Versions
  • Stashing Work in Progress
  • Introduction to GitHub Platform
  • Creating and Managing GitHub Repositories
  • Pushing Local Code to Remote Repositories
  • Pulling and Fetching Remote Updates
  • Collaborating via Pull Requests
  • Code Review and Issue Tracking
  • Using GitHub Actions for CI/CD
  • Automating ML Pipeline Deployments
  • Managing Access with GitHub Teams
  • Protecting Branches and Enforcing Rules
  • Git Ignore for Large ML Datasets
  • Handling Large Files with Git LFS
  • Git Submodules for External Dependencies
  • Debugging Git History with Bisect
  • Cherry Picking Specific Commits
  • Git and GitHub for Machine Learning Projects

Career Path

The Certificate Programme in Git and GitHub for Machine Learning provides essential version control and collaboration skills tailored for the UK technology sector.

Below are the primary career outcomes and their estimated market share: ML Engineer - 35% Data Scientist - 30% MLOps Engineer - 20% AI Solutions Architect - 15%

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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Skills you'll gain

Version Control Git Basics GitHub Collaboration ML Workflow

Course fee

Master Certificate £499
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MASTER CERTIFICATE IN GIT AND GITHUB FOR MACHINE LEARNING
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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