🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
WE_IA_COPILOT

Practical Workshop: GenAI GitHub Copilot Code Assistant

This intensive intermediate-level training is specifically designed for Ops and System Engineer profiles wishing to make the leap from scripting to AI-assisted development. In a constantly evolving technological ecosystem, GitHub Copilot stands out as an essential lever to accelerate code writing and reduce repetitive, low-value-added tasks. During this practical workshop, you will learn to master this generative AI-based assistant, capable of suggesting code in real-time and adapting to your context. You will discover how to structure your prompts to generate robust Python scripts (logs, metrics) and automate your deployments via Ansible. More than just an autocompletion tool, you will learn to use Copilot as a true partner to refactor, document, and secure your code, while maintaining a critical eye on the provided suggestions.

WEnvision
✓ Official training WEnvisionLevel Intermediate⏱️ 1 day (7h)

What you will learn

  • Discover GitHub Copilot, its usage modes (Assistant vs. Agent), and its operation within the IDE.
  • Understand the fundamental role of the workspace and context to optimize the relevance of AI suggestions.
  • Know how to interact effectively with Copilot to produce, refactor, and document Python and Ansible code.
  • Be able to use Copilot autonomously by adopting good verification and security practices right from the end of the training.

Prerequisites

  • Basic knowledge of the Python language (imports, packages, script structure).
  • Understanding of basic Ansible concepts (commands, playbooks, idempotency).
  • Basic knowledge of Git (tracking changes) and shell usage.
  • Familiarity with containerization concepts (Docker, images, volumes).
  • Ability to read logs and execute scripts from the command line.

Target audience

  • System engineers and Ops profiles transitioning from scripting to development.

Training Program

6 modules to master the fundamentals

Topics covered
  • →Overview of generative AI and definition of a code assistant.
  • →Positioning of GitHub Copilot in the ecosystem.
  • →Distinction between Assistant (Chat) and Agent (Autonomous) modes.
Activities

Quick Python / Ansible demonstration.

First steps with the interface.

Topics covered
  • →Notion of workspace and context management (open files, history).
  • →Differences between completion and chat.
  • →Writing effective prompts (Rule of 3 pillars: Progressivity, Context, Instruction).
Activities

Exercise: generate a simple Python script.

Using slash commands (/explain, /fix, /tests).

Topics covered
  • →Generate operational scripts (logs, system metrics with psutil).
  • →Adding error and log management via Copilot.
  • →Refactoring existing scripts to improve readability.
Activities

Generating system monitoring scripts.

Refactoring a legacy script.

Topics covered
  • →Generation of playbooks and roles (standard roles/vars/templates structure).
  • →Transforming technical documentation into a playbook.
  • →Respecting idempotency and best practices.
Activities

Deploying a service (e.g., Nginx) with Ansible and Docker.

Converting a text procedure into Ansible code.

Topics covered
  • →Working efficiently with multiple files (managing imports and dependencies).
  • →Code review and explanation by Copilot.
  • →Limits and vigilance: managing hallucinations and security (secrets, vulnerabilities).
Activities

Capstone workshop: Complete development on a multi-file project.

Exercise on detecting hallucinations or security flaws.

Topics covered
  • →Presentation and discussion of workshop results.
  • →Best practices for daily interaction.
  • →Putting the OPS profession into perspective.

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Upcoming sessions

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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

790€ excl. VAT

per learner

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