Artificial Intelligence: Preparing Your Career for AI
Requirements
- 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.
Educate yourself about AI
Upgrade your career for AI
Invest in an AI-first economy
Use AI ethically and responsibly
Adapt to what comes next
The future belongs to those who are willing to invest in AI now. Don’t get left behind!
- Beginners / general audience
- Introduction06:49
- What is AI?3 questions
- Educate Yourself About AI06:39
- Additional Resources00:18
- Educate Yourself About AI3 questions
- Upgrade Your Career for AI07:39
- Additional Resources00:22
- Upgrade Your Career for AI3 questions
- Invest in an AI-first Economy08:05
- Additional Resources00:17
- Invest in an AI-first Economy3 questions
- Use AI Responsibly and Ethically07:33
- Additional Resources00:27
- Use AI Responsibly and Ethically3 questions
- Adapt to What Comes Next05:51
- Additional Resources00:17
- Adapt to What Comes Next3 questions
- Conclusion02:16
- Final Project01:13
- Additional Resources00:05
![Matthew Renze](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 138 Reviews
- 8,287 Students
- 2 Courses
Matthew Renze is a data science consultant, author, and public speaker. Over the past two decades, he has taught over 250,000 software developers and IT professionals how to build intelligent software systems. His clients include small software start-ups to Fortune 100 companies across the globe.
He’s a Microsoft MVP, an ASPInsider, an author for Pluralsight, and an open-source software contributor. His focus includes artificial intelligence, data science, and machine learning.