Data is the fuel for any AI strategy. This module addresses the topic of infrastructure: how to collect, organize, and make business data actionable by integrating CRM with predictive models and digital agents.

The core of the course. You’ll learn how to use large language models in advanced and multimodal ways, how to craft effective prompts, and how to design AI agents capable of automating the repetitive parts of the sales process.

Managing discovery sessions and presentations in digital and hybrid settings requires specific tools and techniques. This module explores meeting intelligence, real-time AI-powered coaching, and the creation of asynchronous demos.

From the automatic generation of sales proposals to the management of fully digital RFP processes, including virtual multi-stakeholder negotiations with predictive support.

Predictive models, A/B testing, and revenue analytics dashboards: This module teaches you how to analyze business data critically and turn AI outputs into concrete decisions.

AI in sales involves sensitive data, customer interactions, and automated decision-making processes. This module addresses the GDPR, the AI Act, transparency, accountability, and security through a practical approach focused on developing corporate policies.

The final module brings together everything learned in a practical project. Participants will define roadmaps, KPIs, OKRs, and change management plans to integrate AI into their sales team.