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.
Overview
Course 1 of 2 in the Quantum Computing Fundamentals professional certificate program. To earn a Professional Certificate and CEUs, you must complete the two courses in the program. For those who do not want to commit to the full program, courses can be taken on an individual basis for a certificate of completion and CEUs.
Skills you'll practise
Advantages and disadvantages
Advantages
- Designed for working professionals, with live sessions or mentors.
- Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
- Self-paced: start any time.
Disadvantages
- Expensive (often $1,000 or more) and on fixed dates.
- Paid ($1,600).
Some points apply to every course of this kind; see how we rank.
Paid
- Paid: A professional MIT course ($1,600). For free MIT material, try MIT OpenCourseWare.
Taught by
- Isaac Chuang
- William Oliver
- Peter Shor
- Aram Harrow
Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.
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