Christophe Ancey

Advanced training session on the design and development of AI agents in Python for IT professionals.

Training Content:

- Autonomous AI Agent Architecture (orchestration, tool use, error handling)

- Practical development with the Claude API (Anthropic) and the Agent SDK

- Advanced prompt engineering patterns (XML, chain-of-thought, multi-pass)

- Deployment: MCP servers, deployment, monitoring

Led the regulatory compliance (Good Manufacturing Practices) of pharmacovigilance software for a pharmaceutical laboratory.

Achievements:

- Audit and compliance of the adverse event traceability system

- Redesign of the architecture to meet GMP and ICH-eCTD requirements

- Implementation of documented validation procedures (IQ/OQ/PQ)

- ISO 27001 environment, HDS hosting

- Skills: Laravel, PHP 8+, regulatory compliance, pharmacovigilance, ISO 27001

Led the complete redesign of a legacy business application that had become unmaintainable. Initial estimate: 12 to 18 months in a traditional cycle. The integration of generative AI (Claude Code) at each stage allowed delivery in 4 months.

Achievements:

- Led the redesign strategy and defined the target architecture

- Coordinated development and testing teams

- Introduced generative AI into the modernization process (analysis, test generation, rewriting)

- BMAD Methodology (Build, Measure, Adapt, Deploy)

Impact: delivery time divided by 3, zero functional regression.