GitHub – Use in AI
Mastering AI Development with GitHub Collaboration
MODE
Online/ e-LMS
Online/ e-LMS
TYPE
Self Paced
Self Paced
LEVEL
Advanced
Advanced
DURATION
8 Weeks
8 Weeks
Batches
Spring
Summer
Live
Autumn
Winter
Program Aim
This course aims to provide an in-depth understanding of how GitHub can be leveraged for efficient AI development, from version control to collaborative projects.
About Program
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.
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.
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.
Participant’s Eligibility
- Aspiring and current AI professionals, including M.Tech, M.Sc, and MCA students, especially from IT and Computer Science backgrounds.
- E0 & E1 level professionals from BFSI, IT services, consulting, and KPO sectors looking to enhance their project management and collaboration skills.
Program Outcomes
- Enhanced Collaboration Skills: Proficiency in GitHub for teamwork and code sharing.
- AI Project Efficiency: Improved efficiency and error reduction in AI projects through GitHub.
- Adaptability: Ability to adapt to new tools and integrate them into AI workflows.
Fee Structure
Standard Fee: INR 49,998 USD 1,300
Discounted Fee: INR 24999 USD 650
Certificate
Program Assessment
- Assignments: Practical tasks to apply GitHub functionalities in real or simulated AI projects.
- Quizzes: Module-end quizzes to assess comprehension of GitHub features and practices.
- Final Project: A capstone project where participants deploy an AI application using GitHub, from version control to project deployment.
Program Deliverables
- Hands-on Projects: Collaborative projects focusing on real-world AI challenges using GitHub.
- Expert Guidance: Sessions led by experts in AI and GitHub, providing insights into industry practices.
- Interactive Learning: Engaging, interactive learning modules emphasizing practical application.
Placement Assistance
- Industry Engagement: Interaction with industry experts and insights into how companies use GitHub for AI.
- Career Development: Guidance on leveraging GitHub skills for career advancement in AI and software development.
- Project Showcase: Opportunities to present final projects to potential employers and collaborators.
Future Career Prospects
- Version Control Specialist: Expertise in managing AI project versions and collaborations.
- AI Project Manager: Overseeing AI projects using sophisticated GitHub workflows.
- Open Source Contributor: Contributing to and managing open source AI projects on GitHub.
