Lately, we’ve all been fascinated by this AI explosion and how large language models (LLMs) like ChatGPT, Gemini, and others are shaping the future. Even though most people on tech have a rough idea of how LLMs work, I wanted to go deeper. I’m the kind of person who needs to understand how things work on the inside, the kind of kid who broke toys just to see what was inside. So when a friend of mine told me to take MIT 6.S191, “Introduction to Deep Learning,” I was in. He took the 2024 version, and I watched the 2025 lectures , mainly because the 2026 ones weren’t available yet. The course is organized by MIT CSAIL and is led by well-known names in the AI space like Alexander Amini and Ava Amani . The structure of the course is simple but effective: lectures to explain the core ideas, paired with hands-on labs where you actually see those ideas working in code. It’s not just theory, you’re constantly connecting concepts to real models. One thing the course makes very clear early on ...