Artificial Intelligence: Preparing Your Career for AI

Learn what you should be doing today to prepare your career for the coming wave of AI automation!
Free tutorial
Rating: 4.5 out of 5 (597 ratings)
17,587 students
45min of on-demand video

How to educate yourself about AI
How to upgrade your career for AI
How to invest in an AI-first economy
How to use AI responsibly and ethically
How to adapt to what comes next


  • No prerequisites


Are you prepared for the AI tech revolution?

Whether you realize it or not, we are currently entering the era of artificial intelligence. AI technologies are radically transforming our lives, our careers, and our world. However, most of us have not yet learned how to leverage the power of this new technology.

In this free course, you’ll learn the five things you should be doing today to prepare your career for the coming wave of AI-enabled automation.

  1. Educate yourself about AI

  2. Upgrade your career for AI

  3. Invest in an AI-first economy

  4. Use AI ethically and responsibly

  5. Adapt to what comes next

The future belongs to those who are willing to invest in AI now. Don’t get left behind!

Who this course is for:

  • Beginners / general audience


Data Science Consultant
Matthew Renze
  • 4.5 Instructor Rating
  • 1,480 Reviews
  • 31,996 Students
  • 2 Courses

Matthew Renze is a data science consultant, author, and public speaker.

Over the past two decades, he’s taught over 400,000 software developers and IT professionals. He’s delivered over 100 keynotes, presentations, and workshops at conferences on every continent in the world (including Antarctica). His clients range from Fortune 500 companies to small tech startups around the globe.

Matthew is a Microsoft MVP in AI, an ASPInsider, and an author for Pluralsight, Udemy, and Skillshare. He’s also the president of Serenze Global, a 501(c)(3) nonprofit organization whose mission is to improve access to technology education for under-represented individuals in the IT industry.

His focus includes artificial intelligence, data science, and machine learning.

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