Course : Developing with GitHub CopilotDevelop faster and better with AI support built into your development environment.
Practical course - 2d
- 14h00 - Ref. DCI
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 | Understanding GitHub Copilot's Role in the Software Development Process |
| Master the use of GitHub Copilot (in VS Code and other IDEs) for generating, autocompleting, and modifying code |
| Master prompt engineering techniques to optimize the quality of code generated by Copilot |
| Use the GitHub Copilot CLI for command-line tasks and project management |
| Apply best practices to maximize productivity and code quality with GitHub Copilot |
Intended audience
Web developers, software engineers, and architects looking to integrate AI assistants into their coding process.
Prerequisites
Basic knowledge of programming (HTML, CSS, JavaScript, or another object-oriented language) and familiarity with an integrated development environment (IDE) such as VSCode.
Practical details
Teaching methods
Hands-on exercises. Through exercises and hands-on projects, you will create real-world applications using only Claude Code.
Course schedule
1 Introduction to GitHub Copilot
- An Introduction to Generative AI and Large Language Models (LLMs).
- The Role and Architecture of GitHub Copilot.
- Overview of features (code completion, chat, refactoring).
- The GitHub Copilot chatbot.
- Use Copilot directly from a file.
- Define a function and its implementation.
- Best practices for using code completion.
- The various cloud services (OpenAI, Claude, etc.) and their pricing models.
- Installing an LLM Locally (Introduction to LM Studio and Hugging Face). RAG Architecture.
Hands-on work
Setting up VSCode, installing GitHub Copilot, and trying out some basic code completion.
2 Prompt Engineering for Copilot
- Structure of an Effective Prompt.
- Defining the Role and Context (Role Prompting).
Hands-on work
Write prompts to generate a simple web application (e.g., generating a Sudoku grid or web pages based on a prompt). Use CoT to request the design and implementation of a microservice with technical constraints. Create a prompt specifying a web application.
3 GitHub Copilot CLI Integration
- Introducing GitHub Copilot CLI.
- The main commands for project and code management.
- Using the CLI to generate complex commands and scripts.
Hands-on work
Using Copilot CLI to generate Git commands, shell scripts, and dependency installation commands.
4 GitHub Copilot in the Project Lifecycle
- Prompts for documentation and unit tests.
- Generate a set of unit tests.
- Prompt for refactoring existing code or migrating technologies.
- Using prompts to secure code (simple audits).
Hands-on work
Generate unit tests for the microservice developed earlier. Develop and deploy a simple web application using only the AI development assistant.
5 Best Practices and the Future of AI for Developers
- Review of Best Practices in Development with Copilot.
- Manage privacy and sensitive data.
- Human Verification and Accountability: A Discussion on RAG Architecture.
- Create a local "ChatGPT" that explores a confidential document database using a RAG architecture.
Hands-on work
PARTICIPANTS
Web developers, software engineers, and architects looking to integrate AI assistants into their coding process.
PREREQUISITES
Basic knowledge of programming (HTML, CSS, JavaScript, or another object-oriented language) and familiarity with an integrated development environment (IDE) such as VSCode.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Web developers, software engineers, and architects looking to integrate AI assistants into their coding process.
PREREQUISITES
Basic knowledge of programming (HTML, CSS, JavaScript, or another object-oriented language) and familiarity with an integrated development environment (IDE) such as VSCode.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
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Session garantie
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.