13
Lessons
52h
Duration
English
Language
Share This Class:
OBJECTIVEs:
- GitHub Copilot is an AI coding assistant that helps you write code faster and with less effort, allowing you to focus more energy on problem-solving and collaboration.
- GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor. As you type, Copilot offers autocomplete-style suggestions, sometimes completing the current line and other times providing a whole new block of code.
Course features:
- Practical hands on
- Lab sessions
- Training by experienced faculty
PRE-REQUISITES:
- A GitHub account
- Basic understanding of GitHub fundamentals
Learning Path
- Understanding the fundamentals of GitHub Copilot and its role in code generation
- Overview of the AI and machine learning techniques powering GitHub Copilot
- Exploring the potential impact of GitHub Copilot on software development workflows
4 hours
- Setting up GitHub Copilot in popular code editors (e.g., VS Code, JetBrains IDEs)
- Exploring the user interface and basic functionalities of GitHub Copilot
- Configuring settings and preferences for optimal code suggestions
4 hours
- Overview of the underlying models and datasets used by GitHub Copilot
- Exploring model architectures, training data, and model capabilities
- Understanding model limitations and potential biases
4 hours
- Using GitHub Copilot to generate code snippets, functions, and classes
- Exploring common programming tasks and scenarios where GitHub Copilot can assist
- Best practices for reviewing and integrating Copilot-generated code into projects
4 hours
- Collaborative coding workflows with GitHub Copilot in team environments
- Integrating Copilot into version control systems (e.g., Git) and collaborative coding platforms
- Strategies for code review, feedback, and collaboration when using Copilot-
generated code
4 hours
- Configuring Copilot to suit your coding style, preferences, and project requirements
- Creating custom code templates and snippets for frequent tasks
- Extending Copilot’s capabilities with custom models and datasets
4 hours
- Integrating Copilot into existing software development workflows
- Automating repetitive tasks and boilerplate code generation with Copilot
- Using Copilot to explore new programming languages, libraries, and frameworks
4 hours
- Guidelines for effective use of GitHub Copilot in software development projects
- Addressing security, licensing, and intellectual property concerns when using Copilot-generated code
- Strategies for evaluating and validating Copilot suggestions
4 hours
- Identifying common challenges and limitations of GitHub Copilot
- Strategies for mitigating potential risks, biases, and errors in Copilot-generated code
- Balancing automation with human oversight in software development workflows
4 hours
- Understanding ethical considerations and biases in AI-powered code generation
- Promoting fairness, transparency, and accountability in Copilot usage
- Compliance with privacy regulations and data protection laws when using Copilot
4 hours
- Real-world case studies showcasing successful implementations of GitHub Copilot
- Best practices and lessons learned from organizations adopting Copilot in their
development workflows - Opportunities for innovation and collaboration with Copilot in diverse software projects
4 hours
- Exploring future trends and advancements in AI-assisted software development
- Emerging technologies shaping the future of code generation and automation
- Opportunities for research and innovation in AI-driven development tools like GitHub Copilot
4 hours
- Recap of key learnings and takeaways from the course
- Resources for further learning, community engagement, and professional development in GitHub Copilot usage
- Actionable steps for incorporating GitHub Copilot into your software development workflows and driving innovation in code generation.
4 hours