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