Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

This course explores how synaptic communication in the brain shapes movement, mood, anxiety, and sleep, with a strong emphasis on pharmacological principles and real-world clinical applications. Learners will examine how specific neurotransmitter systems—including dopamine, GABA, and serotonin—regulate neural circuits and behavior, and how disruptions in these systems contribute to common neurological and psychiatric disorders.
Using Parkinson’s disease as a central example, the course investigates the dopaminergic synapse and how molecular changes in dopamine signaling alter motor control. Learners will explore the mechanism of action of L-DOPA, examine alternative therapeutic strategies, and consider patient perspectives on treatments such as deep brain stimulation. The course then turns to anxiety and insomnia, highlighting inhibitory GABA synapses and explaining how benzodiazepines and Z-drugs enhance the brain’s natural braking systems to reduce symptoms and promote sleep. Finally, learners will examine depression through the amine hypothesis, studying how antidepressants such as tricyclics and selective serotonin reuptake inhibitors modify neurotransmitter signaling, as well as emerging treatments such as ketamine. Throughout the course, molecular mechanisms are linked to neural circuits, behavior, and lived patient experiences.
This course provides a strong foundation for learners interested in neuroscience, pharmacology, psychology, medicine, and related health sciences.
Some points apply to every course of this kind; see how we rank.
University of Minnesota is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (76/100).
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.
Massachusetts Institute of Technology · YouTube
Instructors: David Sontag, Peter Szolovits View the complete course: https://ocw.mit.edu/6-S897S19 Introduces students to machine learning in healthcare, the nature of clinical data, and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis…
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.