AI for Testing
Learning Objectives
By the end of this training, participants will know how to: - Master test-driven vibecoding: integrate AI into their test-driven development workflow (TDD). - Design quality-oriented prompts: automatically generate unit, integration and end-to-end tests via AI. - Develop complete applications (frontend + backend) tested in collaboration with Claude Code and other AI assistants. - Implement a test-first CI/CD adapted to AI-assisted development, ensuring robustness and automation of validations. - Adapt generative AI solutions to the reliability and compliance constraints specific to their company (security, test coverage, technical debt).
Instructor
Alexandre Hotton
Lead Data Scientist
Lead Data Scientist and co-founder of Synaptiks.ai, Alexandre spans the entire ML pipeline from research to production. Backed by a Master's in Computer Science with a focus on Machine Learning, he translates cutting-edge discoveries into high-impact business use cases. Renowned for simplifying complex ideas, he has already coached finance and healthcare teams through hands-on, interactive AI programmes.
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