Everyone tells you to 'learn AI'. Almost nobody tells you what that means on a Monday morning. After training developers across Jaipur, Bengaluru and Pune, we've settled on an unfashionable truth: the people who thrive in the AI age are the ones with the strongest fundamentals.
The path we teach
First, SQL and data modelling — every AI system stands on data, and the person who understands the data owns the conversation. Second, Python beyond scripts: functions, classes, tests, and packaging, because notebooks don't survive contact with production.
Third, one cloud platform properly — storage, compute, networking, permissions. Fourth, and only then, the ML/AI layer: classical models before deep learning, evaluation before architecture, and always the question 'what does the business do differently if this model works?'
Projects over certificates
A certificate says you watched something; a deployed project says you built something. Every course we run ends with an artifact you can show: a pipeline, a dashboard, a model behind an API. That's what interviews — and real work — actually reward.
Start with our courses at learn.steleios.com, and build as you learn.