Our

Training

Concrete training, rooted in real-world practice, to build skills in data, AI, and SmartStack

Our DNA

Half a day a week, no more

Intensive 3 or 5-day training? You forget 80% within a week. No time to practice, experiment, fail.

Learn, experiment, come back

No more than a half-day workshop per week. Between sessions, participants practice in their daily work, run their own experiments, and return with concrete questions. This rhythm embeds skills durably.

Theory online, practice in the workshop

Spending an entire day listening to a trainer talk is wasted time. Participants check out, questions stay shallow.

Arrive at the workshop ready to advance

Theory modules happen online, at your own pace, before the workshop. On the day, each participant arrives with questions, ideas, and a clear vision of what we'll build together. Workshop time is 100% hands-on and productive.

Your use cases, not generic ones

Standard training uses fictional datasets. You learn gestures, not how to solve your real problems.

Anchored in your business reality

Each workshop starts with your data, processes, challenges. Technology comes in response to an identified need, never the reverse. What's built in the workshop serves you from Monday onward.

Autonomy, not dependency

Too much training creates a need to come back to the trainer at every difficulty. Knowledge stays with the service provider.

We make you masters of your tools

Goal: your teams are operational without support. We train, document, transfer skills. For AI like for data, mastery wins over delegation.

Data

Structure, govern, and leverage your data with Microsoft tools

Data Governance

Level
Decision-maker / Project manager
Objective
Implement data governance

Program

  • Data inventory and mapping
  • Define roles and responsibilities
  • Data quality and GDPR compliance
  • Build a sustainable data strategy

Managing a Data Project

Level
Project manager / Technical profile
Objective
Lead a data project from A to Z

Program

  • Scoping and requirements gathering
  • Architecture and technology choices
  • Data modeling and pipelines
  • Governance, testing, and production

Power BI & Fabric with AI

Level
Analyst / Technical profile
Objective
Create dashboards and leverage Fabric with AI

Program

  • Build effective Power BI reports
  • Lakehouse and Fabric integration
  • AI for analysis and automation
  • Best practices and BI governance

AI & AI Agents

Understand AI, master agents, and turn them into concrete leverage

Understand and use AI

Level
Decision-maker / All profiles
Objective
Demystify AI and identify opportunities

Program

  • How LLMs and generative AI work
  • Concrete use cases by industry
  • Risks, ethics, and limitations
  • Define an AI strategy for your company

AI Agents: managing autonomy

Level
Technical profile / Project manager
Objective
Design and oversee AI agents

Program

  • Agent vs assistant: understanding the difference
  • Agent architecture and orchestration
  • Oversight, security, and safeguards
  • Advanced cases and production

SmartStack

Become independent on the platform, from getting started to building complete business apps

Complete program

Level
Profile with technical aptitude
Objective
Master SmartStack end-to-end

Program

  • Platform onboarding
  • Describing needs in natural language
  • Building complete business apps
  • Modules, roles, and permissions
  • Workflows and automations
  • Testing and deployment
  • Best practices and independence