A forward-looking course on what AI is moving towards and what is already possible at the edges of current capability. Covers multi-agent systems, AI agents acting autonomously, reasoning models, AI in physical systems, and how to think about what comes next without getting lost in hype.
What happens when multiple AI agents work together, how orchestration works, and where this is already being used.
Autonomous AI agents, what they can do now, the risks, and the human oversight question.
How reasoning models differ from standard models, when they are worth using, and what they change about how you prompt.
AI in physical systems, near-term and longer-term directions, and how to stay oriented without being overwhelmed.