Description
Training objective: Acquire the necessary skills to effectively use AI development assistants in order to accelerate code production, improve software quality, strengthen testing and documentation, and integrate AI into a professional development workflow, while maintaining technical control, security, and human review.
Learning Objectives
- Understand the functioning, benefits, and limitations of AI coding assistants.
- Use an AI assistant effectively in the IDE to generate, explain, complete, and transform code.
- Create better prompts and contextualize technical requests more effectively.
- Generate tests, documentation, and refactoring proposals that are actionable.
- Secure AI usage in development workflows.
- Integrate AI assistance into team practices: Git, reviews, standards, quality.
- Identify use cases suited to leading AI assistants on the market.
Target Audience
Back-end, Front-end or Full-Stack Developers
Lead Developers, Architects, Tech Leads
Software Engineers, QA Automation Engineers, DevOps involved in development
Technical Teams aiming to integrate AI into their coding practices
Prerequisites
Practical mastery of at least one programming language
Regular use of Git and a modern IDE
Basic knowledge of testing, code review, and the software development lifecycle
Program Outline
Informations
Duration
5 jour(s)
35h
Tarif
Sur demande
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