M1 — AI agent fundamentals
Understand what an AI agent actually does, and choose the right level of automation for a use case.
training
decision makers
Training
M2 — Automating your daily work with AI agents
Set up an agent on your real tasks and know when it should stop.
training
operational teams
M3 — Autonomous pipeline: ralph, beads & sub-agents
Reproduce an agent-assisted development pipeline: autonomous loop, issue base, self-checking sub-agents.
training
technical teams
M4 — Local LLMs & image generation on GPU
Run an LLM and Stable Diffusion on local GPU: quantization, context, throughput, LoRA, identity pipeline.
training
engineers
infra