Version Control Courses and Certifications

Mastering Amazon S3 with AWS SDK for Python

Master AWS S3 operations using Python and Boto3, from basic bucket management to advanced features like multipart uploads and versioning. Learn practical implementations for efficient cloud storage handling.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Automatically Deploy Python Web Apps from Version Control to Cloud Run

This is a self-paced lab that takes place in the Google Cloud console. Learn how to automatically deploy your changes from version control to Cloud Run

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Backward Compatibility in Software Development with PHP

Master PHP backward compatibility techniques to extend software features while maintaining system stability and preventing disruptions to existing functionality.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

A02: Cryptographic Failures

Discover how to identify and fix cryptographic vulnerabilities, secure password storage, and protect sensitive data from exposure through proper encryption techniques.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Understanding and cleaning the movie dataset using Codex

Explore how to set up, analyze, and clean a movie dataset using Codex and Python, including handling missing values, error handling, and enriching data with AI assistance.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Front-End Web Development Short-course (Live Online)

2637 ratings at CourseHorse

Discover the cutting-edge tools and skills needed to build interactive websites in this beginner-friendly program.

• CourseHorse
• 200 hours
• Self-Paced
• $4,500.00

How to Use Git and GitHub

50 ratings

Learn to use version control, an important tool for any developer. The course will focus on Git, a specific version control system, and GitHub, a collaboration platform.

• Udacity
• 3 weeks
• Not Currently Offered
• Free Online Course

Building R Packages

223 ratings at Coursera

Learn to create, document, and distribute robust R packages following community standards for maximum usefulness and reusability in data science software development.

• Coursera
• 20 hours 42 minutes
• Self-Paced
• Paid Course

AI-Powered Data Analysis: A Practical Introduction

23 ratings at Coursera

Explore AI-powered data analysis, from foundations to advanced techniques. Learn to leverage tools like ChatGPT for data acquisition, cleaning, visualization, and practical applications across various domains.

• Coursera
• 3 hours 58 minutes
• Self-Paced
• Paid Course

Building Web Pages with HTML & CSS

16 ratings at Coursera

Master HTML and CSS fundamentals to build responsive web pages, use Git for version control, and deploy sites on GitHub Pages while learning industry-standard development practices and techniques.

• Coursera
• 9 hours 27 minutes
• Self-Paced
• Paid Course

Advanced Reproducibility in Cancer Informatics

Explore advanced tools for enhancing reproducibility in cancer informatics, including git, GitHub, code review, Docker, and GitHub actions through hands-on exercises and practical applications.

• Coursera
• 9 hours 42 minutes
• Self-Paced
• Paid Course

Engineering Practices for Building Quality Software

467 ratings at Coursera

Learn engineering practices for building high-quality software, covering design, architecture, implementation, testing, and deployment. Gain skills in quality metrics, design patterns, security, and continuous integration.

• Coursera
• 17 hours 38 minutes
• Self-Paced
• Paid Course

Internet of Things V2: DragonBoard™ bring up and community ecosystem

40 ratings at Coursera

Develop embedded IoT prototypes using DragonBoard™ 410c. Learn Linux, sensors, GPIO, Arduino interfacing, and version control. Gain hands-on experience building hardware/software for IoT products.

• Coursera
• 20 hours 47 minutes
• Self-Paced
• Paid Course

Using Git for Distributed Development

596 ratings at Coursera

Learn distributed development with Git, covering installation, repository management, collaboration, version control, and advanced workflows for efficient open-source project coordination.

• Coursera
• 21 hours 37 minutes
• Self-Paced
• Paid Course

Python Programming Fundamentals

545 ratings at Coursera

Master essential Python programming skills through hands-on practice with syntax, data structures, control flow, debugging, and version control. Build a foundation for writing clean, functional code and creating a professional GitHub portfolio.

• Coursera
• 1 day 46 minutes
• Self-Paced
• Paid Course