3 Free Online Artificial Intelligence Courses Taught by Google and Stanford Experts
Marketing is on the verge of making a huge pivot, thanks to artificial intelligence. The difference between those who thrive and those who are left behind may be the depth of their technical understanding and ability.
Everyone involved with marketing will benefit from an understanding of marketing artificial intelligence. It doesn’t matter if you’re a manager driving your company's marketing strategy or a developer looking to build marketing AI systems—this type of experience and knowledge will only become more valuable as the industry progresses.
If you’re looking to take your AI understanding to the next level, here are three great courses to get started.
Google’s Free Machine Learning Course
Google is one of the top players in AI/machine learning, and they offer their artificial intelligence crash course for free—the same one they require all of their engineers to take.
Why give away their secrets for free?
According to their developer's blog:
“We believe that the potential of machine learning is so vast that every technical person should learn machine learning fundamentals.”
The awesome thing about Google’s machine learning crash course is that it’s really not that technical. Sure, you’ll want to understand basic math concepts, but expertise in calculus isn’t required.
The best advice we can offer is to not get too caught up in the tiny details. Focus on the broad picture and the basic concepts. Even if your goal is just to understand AI (rather than build it), this course will be beneficial.
The whole course is about 15 hours long and we highly recommend it for any marketer.
Andrew NG’s Free AI Course on Coursera
Andrew NG is the former chief scientist at Baidu, adjunct professor at Stanford, co-founder of Coursera, and one of the biggest names in artificial intelligence and machine learning.
There’s a free online artificial intelligence course on Coursera, offered through Stanford University and taught by Andrew NG. It’s titled “machine learning” and is 100% free to take—you’ll only need to pay if you want a certification. It’s a little more intensive than Google’s artificial intelligence course with 11 weeks of learning comprised of 5-8 readings and videos each week.
This course does a great job at explaining the strategy behind AI as well as offering a greater understanding of how it all works. As stated in the syllabus:
“In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.”
This free artificial intelligence course is a great opportunity to learn from one of the brightest minds in the industry.
Free Udacity Online AI Course
In a TED talk from a few years back, AI experts Peter Norvig and Sebastian Thrun talked about their success teaching an online AI course with over 100,000 students.
They’ve loaded up that same free artificial intelligence course on Udacity, where marketers can learn the basics of artificial intelligence and its growing applications in business. It has an estimated timeline of four months, is 100% free, and counts as credit towards their machine learning and data analyst nano degree programs for those who choose to pursue them.
Next Steps to Learning AI
Our recommendation is to at least take the Google crash course. It’s 15 hours long and will create a great base for you to continue learning and hold your ground in a changing marketing industry.
Take it one step further with the Stanford/Andrew Ng or Udacity courses and you’ll be in a position to actively pursue and create artificial intelligence opportunities in your marketing organization.
About Mike Kaput
Mike Kaput is the Director of Marketing AI Institute and a senior consultant at PR 20/20. He writes and speaks about how marketers can understand, adopt, and pilot artificial intelligence to increase revenue and reduce costs. Full bio.