The gap between knowing about AI and being able to build with it is where most careers stall. Applied AI Engineering closes it.

Over six months, working professionals and recent CS/STEM graduates move past theory and into practice, training on the same models, tools, and infrastructure running in production today: transformers and fine-tuning, retrieval and embeddings, autonomous agents, and the deployment discipline that turns a notebook experiment into a system people can rely on. Every phase ends with something shipped, not just something studied. By the end, a working portfolio stands in for a resume.

This isn't a survey of AI. It's an apprenticeship in building it, for the graduates who'll be writing the next chapter of what these systems can do.