GitHub for AI Projects

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Course Overview

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Mentor Based

Program Syllabus

Module 1

About This Course

GitHub – Use in AI guides participants through GitHub’s powerful features tailored for AI projects, covering everything from basic setup to advanced collaborative tools to optimize AI development workflows.

Module 2

Aim

This program aims to provide an in-depth understanding of how GitHub can be leveraged for efficient AI development, from version control to collaborative projects.

Module 3

Program Objectives

Proficient Use of GitHub: Equip participants with the skills to use GitHub effectively in AI projects.
Collaboration and Version Control Mastery: Teach best practices for using GitHub’s collaborative and version control tools.
Real-World Application: Enable participants to implement GitHub in real-world AI development scenarios effectively.

Module 4

Program Structure

Introduction to GitHub:
- Basics of version control, GitHub features, repository management, issues, and pull requests.
Setting Up Your GitHub Environment for AI Projects:
- Configuring workspaces, understanding repository organization, and managing remote operations.
Using GitHub for AI Development:
- Integrating AI tools, automating model training with GitHub Actions, and securing AI projects on GitHub.
Collaborative AI Development on GitHub:
- Techniques for effective team collaborations and code reviews, and engaging with the community.
Case Studies and Practical Applications:
- Real-world applications in AI, using GitHub for end-to-end project management, and detailed case studies on machine learning model versioning.

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.

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