Course
Deep Learning & the Frontier
From how networks learn to where AI is going.
L4 · ExpertEvolvingKnown~3 h
What you’ll learn
- Explain how backpropagation computes gradients and how a network learns
- Describe how multimodal models align images and text in a shared space
- Explain reinforcement learning: reward, return, value, and Q-learning
- Describe the sense-plan-act loop and why the physical world is hard
- Separate KNOWN, EMERGING, and SPECULATIVE claims about quantum and frontier AI
- Distinguish automation, workflow, agent, and multi-agent systems
Prerequisites
ai-foundations
Module 1. Learning Machines
How networks learn, how they span modalities, and how they learn from reward.
Module 2. The Frontier
Embodied AI, quantum machine learning, and the autonomous-agent frontier, labelled by evidence.