Mastering GitHub Copilot

Course Description

This GitHub Copilot course teaches programmers how to use GitHub Copilot’s Generative AI capabilities to produce code they would have to write themselves. After taking this class, participants supercharge their coding workflow and write more confidently, using Copilot as a programming partner. GitHub Copilot is powered by OpenAI's language model, which has been trained on a massive dataset of public code repositories. It helps developers write code by suggesting lines and entire functions. This course prepares students to tackle coding challenges and streamline their development process.
1 Day
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Audience Profile

Prerequisites:
Experience coding in Python or other programming languages.
Target Audience:
Software developers
IT architects
Technical managers

Skills Gained

Explore LLMs (Large Language Models) and their impact on coding
Utilize GitHub Copilot for efficient coding, from basics to advanced features
Learn prompt engineering to optimize AI code generation
Master prompting techniques for code completion, debugging, and large codebases
Leverage Copilot's versatility for diverse programming tasks
Integrate Copilot into your development process for cleaner, more efficient code
Explore Copilot Chat for interactive coding and problem-solving

Introduction to Generative AI and LLMs

Power of Generative AI
Technical Foundation of Generative AI
Opportunities Created by Generative AI
Challenges and Key Concerns
Generative AI and LLM
Common Generative AI Applications
ChatGPT vs GitHub Copilot

GitHub Copilot Introduction

Define GitHub Copilot
Explore Common Features
GitHub Copilot Subscription Types
How Copilot Works

Working with GitHub Copilot

Recap the importance of understanding core programming concepts, algorithms, and data structures.
Copilot complements these skills, not replaces them.
Must understand crucial role of critical thinking, problem-solving, and debugging skills in effective coding.
Copilot is a tool, not a solution, and independent judgment is paramount.
continuous learning and adaptability in the ever-evolving world of technology.
Copilot can assist in navigating change and adopting new skills.
We will create projects that showcase skills and how to utilize Copilot responsibly.

Mastering Basic Completion

Variable Names and Structure
Context-Aware Completion
Accepting Suggestions
Power of Comments
Completion for Documentation
Code Snippet magic
Fine Tuning Control

Prompt Engineering Essentials

Prompt Engineering Introduction
Key Elements of Prompts
Prompting Techniques
Zero-Shot
One-Shot
Few Shot
Chain of Thoughts

Copilot Prompting Mechanism

Prompt Principles
Best Practises to follow
Prompt Process Flow in GitHub Copilot

Working with GitHub Copilot Chat

Introduction to GitHub Copilot Chat
GitHub Copilot Chat Process Flow
Critical Use cases
Limitations of Copilot Chat
Using Commands
Keyboard Shortcuts

Advance Completion and managing Large Codebases

Regular Expressions
Code Formatting and Style Consistency
Code Refactoring
Navigating Large Codebases
Coding with Question
Debugging Assistance
Testing code with Prompts
Tool Integration

GitHub Copilot and Programming Languages

Python-specific Features
JavaScript and TypeScript
Secure Code with Copilot
Adding Accessibility
Game Development with Copilot

GitHub Copilot Design Patterns and Best Practices

What are Patterns
GitHub Copilot Pattern Categories
Design Pattern at Work
Practically Viable Patterns
Pattern for Test Engineers
Best Practices
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