Objectives of the training
The objective of this course is to enable participants to discover AI tools dedicated to programming and to use them effectively to generate, improve, and maintain code, while adopting good practices for collaboration between humans and AI.Targeted audience
Developers, software engineers, team leads, architectsPrerequisite
Proficiency in at least one programming language (Python, JavaScript, etc.) and basic knowledge of version control systems (Git).Trainers
Benefits for Participants
• Discover AI tools dedicated to programming (GPT‑5, GitHub Copilot, JetBrains AI, Cursor).
• Use AI to generate, complete, and refactor code and to create automated tests.
• Explore AI for documentation, planning, and project management.
• Implement best practices for human‑AI collaboration in a development environment.
Course architecture
Day 1: Introduction and AI‑Assisted Code Generation
Chapter 1: Overview of Coding Assistants
• Evolution of AI tools for developers
• Presentation of the main tools (GPT‑5 and its advanced capabilities, GitHub Copilot, JetBrains AI Assistant, Cursor)
• Use cases and benefits for development teams
Chapter 2: Code Generation and Rewriting
• Code generation from prompts
• Intelligent completion and contextual autocompletion
• Refactoring and optimization of existing code
• Best practices for effective prompts
Chapter 3: Debugging and Optimization with AI
• Automatic error detection
• Correction suggestions and explanations
• Performance optimization and complexity reduction
• Limits and human validation
Day 2: Quality, Testing, and AI‑Assisted Planning
Chapter 4: Code Review and Automated Documentation
• Generation of comments and technical documentation
• Style analysis and compliance with conventions
• Automation of code reviews with AI
Chapter 5: Test Generation and Quality Assurance
• Creation of unit and integration tests
• Scenario simulations and load testing
• Integration with CI/CD and automated pipelines
Chapter 6: AI for Software Planning and Architecture
• Assistance in designing software architectures
• Task estimation and agile planning
• Dependency management and risk assessment with AI
Chapter 7: Practical Workshops
• Setting up a collaborative project with AI
• Complete development (code, tests, documentation)
• Debriefing and best practices for enterprise integration
Pedagogical details
Type of training
Private or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quotePrivate or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quote