In this course, you’ll learn how generative AI systems evolve from tools into more autonomous, goal-driven systems—and what that means for how they are built, evaluated, and used in the real world. You’ll explore how foundational models, feedback loops, tools, and memory combine to create agent-like behavior, and how modern AI systems are designed as coordinated “teams” rather than single models. Along the way, you’ll examine how AI is being applied in areas like scientific discovery and complex workflows, while also learning how to evaluate performance, manage risk, and design systems responsibly. By the end of the course, you’ll be able to think like an orchestrator—someone who can guide, oversee, and safely deploy increasingly capable AI systems in your field.
Some points apply to every course of this kind; see how we rank.
University of Colorado Boulder is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (76/100). Large online catalogue, good quality.
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
This playlist contains video recordings of Stanford's graduate-level CS329A course. It covers the latest techniques and applications of AI agents that can continuously improve themselves through interaction with themselves and the environment. The lecture recordings start with self-improvement tech…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
