An Ivy League / AI Education? (For free) Yes! Read on...
Starting June (or sooner) Make Time for Summer Learning.
Option 1: Princeton Plasma Physics Lab course on Fusion Energy
Option 2: Columbia University - Machine Learning
Option 3: MIT - Deep Learning for Self-Driving Cars
ALL FREE!!
Fusion Energy Certification from Princeton Plasma Physics Lab
During the weeks of June 5th-15th 2023, PPPL will virtually host an intensive course on plasma physics and fusion energy sciences, taught by world renowned scientists from various national and international institutions. The course is targeted at undergraduate students interested in plasma physics and fusion energy science and is open to the public at large.
Registration is free and participants that attend the full course will receive a certificate of completion.
This is offered through the non-profit edX online course provider. It forms part of the Artificial Intelligence nanodegree. This course is available for free online, with an option to pay for certification.
It promises to teach models, methods and applications for solving real-world problems using probabilistic and non-probabilistic methods. The structure offers supervised and unsupervised learning.
Expect to spend around 12 weeks, eight to ten hours a week on the materials and exercises. This is a free Ivy League-level education so expect to put in the work. And have fun!
MIT uses one major real-world aspect of AI as a jumping-off point for this course to explore the specific technologies involved. The course covers the use of the MIT DeepTraffic simulator, which challenges students to teach a simulated car to drive as fast as possible along a busy road without colliding with other road users.
All of the course materials are available online – but earning a certification is not an option. So this one is learning simply for the pleasure of learning.
Self-driving cars are set to become a part of our everyday lives (hint: listen to the most recent May 2023 Tesla Shareholders Meeting intvw). These machines rely on AI to safely operate. 'This involves teaching machines to interpret data from those sensors just as our own brains interpret signals from our eyes, ears and touch.'
Thank you to our sources: PPPL, MIT, Columbia & Bernard Marr
