Agentic AI
training
Hands-on workshops, live demos,
pipelines that run themselves overnight.
Toulouse · in-house · remote
Modules
Five training modules, each standalone or combinable into a path. Every module starts from a live demo, not a slideshow.
M1 · AI agent fundamentals
½ dayWhat actually changes with agents? A shared foundation for the whole team, in decision + team mode.
M2 · Automating your daily work
1 dayFrom demo to production script: your real tasks, automated at your place, not the trainer's.
M3 · Autonomous pipeline: ralph, beads & sub-agents
2 daysA development loop that works by itself: issue base (beads), autonomous iteration (ralph), sub-agents that check each other.
M4 · Local LLMs & image generation on GPU
1–2 daysllama.cpp on a 12–24 GB card, local OpenAI-compatible API service, Stable Diffusion with control (LoRA, post-processing).
M5 · Agentization audit & roadmap
2–3 days on-siteMap your workflows, score what can be automated now, quantify the gain, produce a roadmap leadership can execute without me.
Point of contact
Let's talk about your training.
Describe your team and your goal in two lines. You get a free 30-minute scoping call within 48 business hours.
One human on the other end, no qualification bot. If I'm not the right person, I'll tell you and point you somewhere.
Message sent.
I read everything myself — reply from a human within 48 business hours.