Hasan Toor ✪ Profile picture
Sharing insights on AI, Tech Trends, Online Business & Productivity • I help people master AI, Tech Tools & Digital Skills • AI Educator & Writer @theprohumanai

Jun 5, 2023, 10 tweets

AI is the future, and you don't want to be left behind.

Luckily, Harvard and Stanford University are offering free courses.

Here are 7 FREE courses you don't want to miss:

1. Harvard's CS50

Introduction to Artificial Intelligence with Python.

Learn to use machine learning in Python in this introductory course on artificial intelligence.

edx.org/course/cs50s-i…

2. Harvard's Data Science: Machine Learning

In this course, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

edx.org/course/data-sc…

3. Harvard's Fundamentals of TinyML

Throughout the course, you will learn data science techniques for collecting data and develop an understanding of learning algorithms to train basic machine learning models.

pll.harvard.edu/course/fundame…

4. Harvard's Applications of TinyML

Learn about real-word industry applications of TinyML as well as Keyword Spotting, Visual Wake Words, Anomaly Detection, Dataset Engineering, and Responsible Artificial Intelligence.

pll.harvard.edu/course/applica…

5. Harvard's Deploying TinyML

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller.

pll.harvard.edu/course/deployi…

6. Stanford's CS330

This is a graduate-level course.

By the end of the course, students will be able to understand and implement the state-of-the-art multi-task learning and meta-learning algorithms and be ready to conduct research on these topics.

youtube.com/playlist?list=…

7. Andrew Ngs AI for Everyone from Stanford

AI is not only for engineers.

If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

coursera.org/learn/ai-for-e…

That's a wrap! Hope this was helpful!

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