A fast-paced, practical introduction to deep learning for software developers. You’ll connect core ML concepts to real product use-cases, then implement small, working models end-to-end. By the end of the day, you’ll know when to use deep learning, how it works under the hood, and how to ship a minimal prototype.
Engineers, data-minded product folks and tech leads who want a grasp of modern ML without drowning in theory. Ideal if you’re building features with vision, time-series, or LLMs and need to speak confidently with data teams—or bootstrap models yourself.
