Online/ e-LMS
Mentor Based
Advanced
8 weeks
About
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.
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.
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 31,998 USD 858
Discounted Fee: INR 15999 USD 429
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
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.
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Recent Feedbacks In Other Workshops
good presentation, more time is needed to elaborate on some issues
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading
