AI Training as a Transformation Lever
AI technology is worthless without human skills to leverage it. AtlasAI has developed a structured training methodology that transforms your employees into competent and enthusiastic AI users, regardless of their initial technical level.
Our Pedagogical Approach
The AtlasAI methodology rests on four pillars: awareness to understand AI and its challenges, hands-on training on tools relevant to each role, support through initial AI projects, and post-training follow-up to embed practices.
Training Tracks by Profile
- Executives and decision-makers: Understand AI strategic issues, identify opportunities for their sector, evaluate AI project ROI, and build a realistic AI roadmap.
- Operational managers: Identify automatable processes, lead AI projects, manage change, and measure deployed solution performance.
- Business teams: Use daily AI tools (ChatGPT, copilots, no-code tools), create effective prompts, and integrate AI into existing workflows.
- Technical teams: Develop and deploy AI models, integrate AI APIs into existing systems, ensure maintenance and updates of solutions.
Training Format
Our training combines short theoretical sessions with intensive practical workshops. Each participant works on a real use case from their professional context. Training is available in-person, remote, and hybrid formats.
"The best AI training isn't one that teaches technology; it's one that transforms how your teams think and work."
Measuring Training Impact
We measure training effectiveness through concrete indicators: number of AI use cases identified by participants, AI projects launched after training, measured productivity gains, and AI tool adoption levels in trained teams.
Continuous Support Program
Initial training is followed by a three to six month support program including individual coaching sessions, experience-sharing workshops among participants, and access to our AI expert community. This approach ensures lasting adoption and measurable return on investment.