Leverage AI assistants to code, test, document, and design applications more efficiently
This course is dedicated to the use of Artificial Intelligence tools to support developers in their daily tasks: code writing, review, bug fixing, documentation, and planning. AI is presented as a true assistant capable of improving code quality and optimizing development workflows.
Is it for you ?
Developers, software engineers, team leads, architects
Prerequisite
Proficiency in at least one programming language (Python, JavaScript, etc.) and basic knowledge of version control systems (Git).
What You'll Walk Away With
- ✓ Generate and refactor code efficiently using AI assistants and effective prompting techniques
- ✓ Detect, fix, and optimize code with AI-driven insights while ensuring human validation
- ✓ Automate documentation and code reviews to improve quality and maintainability
- ✓ Create unit and integration tests and integrate them into CI/CD pipelines
- ✓ Design software architectures and plan development tasks with AI support
Training content
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
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
3 Debugging and Optimization with AI
- Automatic error detection
- Correction suggestions and explanations
- Performance optimization and complexity reduction
- Limits and human validation
4 Code Review and Automated Documentation
- Generation of comments and technical documentation
- Style analysis and compliance with conventions
- Automation of code reviews with AI
5 Test Generation and Quality Assurance
- Creation of unit and integration tests
- Scenario simulations and load testing
- Integration with CI/CD and automated pipelines
6 AI for Software Planning and Architecture
- Assistance in designing software architectures
- Task estimation and agile planning
- Dependency management and risk assessment with AI
7 Practical Workshops
- Setting up a collaborative project with AI
- Complete development (code, tests, documentation)
- Debriefing and best practices for enterprise integration
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📌 Practical information
Our training sessions are offered in Montreal or Quebec City, in person or in a virtual classroom. Dates and locations are specified when you select your session below. If you have any questions, check out our FAQ.
Trainers
Upcoming information