India, July 21 -- When Amazon's ML Summer School began in 2021 with 300 learners, the goal was to make the fundamental concepts of AI and ML accessible to would-be engineers. Fast-forward five years and nearly 10,000 learners, and the 2025 edition represents a new chapter in this expansion.

Amazon ML Summer School has integrated large language models, responsible AI, and problem-solving over simple theory - and done so intentionally with a push for diversity, inclusion, and geographic equity. Now that AI is transitioning from hype to implementation, Amazon's approach to pedagogy raises a broader question for the industry: how do you teach AI to not only code but also solve?

Rajeev Rastogi, VP of Machine Learning with Amazon, explains ho...