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DSTC-01189 Online (e-LMS) Advanced Postgrad

GitHub for AI Projects

by - DSTC

Master GitHub for AI Projects in 2 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review • 2 Weeks · 20 hrs • e-Certificate Included
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From ₹3,000 + GST

Programme Parameters

Educational Level:
Advanced Postgrad
Duration & Workload:
2 Weeks (20 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

GitHub for AI Projects guides participants through GitHub's powerful features tailored specifically for AI projects, covering everything from basic setup to advanced collaborative tools to optimize AI development workflows. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

GitHub for AI Projects guides participants through GitHub's powerful features tailored specifically for AI projects, covering everything from basic setup to advanced collaborative tools to optimize AI development workflows.

📋 Course Objectives

1. Apply biotechnology methods to authentic research and industry problems.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.

👥 Who Should Enroll?

• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology

🚀 Key Learning Outcomes

• A demonstrable biotechnology project for your research or industry portfolio.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Foundations of GitHub for AI

Master core version control concepts and Git architecture for reproducible AI workflows • Navigate GitHub's interface, repository management, and project organization features • Create and manage issues, pull requests, and project boards for AI task tracking

Module 2 Outline

Configuring Your AI Development Environment

Configure optimized GitHub workspaces tailored for machine learning and data science projects • Implement repository organization strategies for datasets, models, and experiment tracking • Manage remote operations, SSH keys, and secure credential handling for cloud-based AI tools

Module 3 Outline

GitHub Actions for AI Automation

Build automated CI/CD pipelines for model training, testing, and deployment workflows • Integrate popular AI frameworks and tools seamlessly into GitHub Actions workflows • Implement security best practices and access controls for protecting proprietary AI assets

Module 4 Outline

Collaborative AI Development

Establish effective team collaboration protocols and code review standards for AI projects • Leverage GitHub Discussions, Wikis, and team features for knowledge sharing • Engage with open-source AI communities and contribute to collaborative projects

Module 5 Outline

Model Versioning and Experiment Tracking

Implement robust versioning strategies for machine learning models and datasets • Track experiments, hyperparameters, and results using GitHub-integrated tools • Reproduce and compare model iterations with comprehensive version history

Module 6 Outline

End-to-End AI Project Management

Apply GitHub for complete AI project lifecycle management from ideation to deployment • Analyze real-world case studies on machine learning model versioning in production • Develop portfolio-ready projects demonstrating GitHub proficiency for AI workflows

Module 7 Outline

Advanced GitHub Features for AI Teams

Utilize GitHub Codespaces for consistent, cloud-based AI development environments • Implement branch protection, required reviews, and governance policies for AI teams • Explore GitHub Packages and container registries for model and dependency management

Technical Specifications

ParameterRequirement
Covered Tool / PlatformGitHub
Covered Tool / PlatformGitHub Actions
Covered Tool / PlatformGitHub Codespaces
Covered Tool / PlatformGitHub Packages
Covered Tool / PlatformGit
Covered Tool / PlatformDocker
Covered Tool / PlatformJupyter Notebooks
Covered Tool / PlatformTensorFlow
Covered Tool / PlatformPyTorch
Covered Tool / PlatformMLflow

Frequently Asked Questions

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

Learners should have a foundational understanding of AI concepts. Familiarity with basic tools and programming is recommended.

You will have access to all course materials for the duration of 2 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to AI. Our mentors are industry experts and experienced professionals. Enroll in GitHub for AI Projects today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering AI skills that matter.

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