You have probably been pulled into a conversation about Artificial Intelligence or Machine Learning. Sitting in that meeting, have you found yourself thinking that something is off? What is the magic behind it? Are there regulatory and ethical implications? What’s the real pay-off?

If so, this course is for you. Become an AI guru – by understanding what makes AI tick. The weird thing is that many AI teams are great with math and software but have less experience with the context. You can become the “smartest person in the room” by bringing key insights to your team.

This course shares the origin story of AI, 4 aspects that make AI awesome, 4 that are hazardous and then empower you with critical and even technical questions to ask of your team. Plus, insights you can share to help business leaders make better decisions, satisfy more customers and grow your personal impact.

Learning Objectives
  • Discover and understand what Artificial Intelligence and machine learning are and are not.
  • Identify and know how to flag problems and nudge AI projects back on course.
  • Recognize 4 aspects that can make awesome AI applications.
  • Recognize 4 hazards of AI applications.
  • Discover and understand what causes AI projects to go astray.
Last updated/reviewed: January 14, 2023
11 Reviews (38 ratings)


Anonymous Author
Overall I really enjoyed the point of this course emphasizing the need on data management first!!! Being in internal audit, I have seen time and time again where people try to jump ahead and the results just don't work. I also really appreciated the points made about people approaching the problem from two different ends. These two points are good to reiterate over and over again. Also, the team presentation nature of this kept me more engaged versus just hearing one speaker.

Member's Profile
Great introduction to the principles and processes involved in AI-related business project management. Provides senior leaders and board members with a solid overview of what questions to ask cross-silo managers and project leads, ensuring that everyone understands the 'why' and then the 'how'.

Anonymous Author
Informative overview of AI and clarification of differences in AI, machine learning, and deep learning. Confirmation of the need for human judgement to be included in the evaluation of the validity of AI results.

Member's Profile
While the instructors were knowledgeable, I felt the course was not well structured. It seemed to jump around without a purposeful sequence.

Member's Profile
Interesting perspective on AI and ML. Speakers raised arguments for the benefits and the limitations of the sciences.

Anonymous Author
I really enjoyed learning about AI. It's an interesting and changing topic so it's cool to stay on top of it.

Anonymous Author
Maybe one case study of AI failure and one for AI success would be better to explain these practices.

Anonymous Author
This is such a great topic. Unfortunately the presenters just did not make it work for me.

Anonymous Author
I appreciate the distinction made between A1, Machine Learning, and Deep Learning.

Anonymous Author
Great introduction to the principles and processes involved in AI, well done.

Anonymous Author
It was alright I guess. Not hard at all. I'd recommend it

Course Complexity: Foundational

No advanced preparation or prerequisites are required for this course.

Education Provider Information
Company: Illumeo, Inc., 75 East Santa Clara St., Suite 1215, San Jose, CA 95113
Contact: For more information regarding this course, including complaint and cancellation policies, please contact our offices at (408) 400- 3993 or send an e-mail to .
Instructor for this course
Course Syllabus
  Introduction to Artificial Intelligence: When it is Awesome and When it is Hazardous2:36
  What is Artificial Intelligence (AI)?10:05
  Applications of AI-Be Awesome Avoid Hazards9:56
  Critical Questions You can Ask7:16
  Steps to Shrinking Your AI Problem to Data Gap10:18
  Artificial Intelligence: When it is Awesome and When it is Hazardous42:01
  Slides: Artificial Intelligence: When it is Awesome and When it is HazardousPDF
  Artificial Intelligence: When it is Awesome and When it is Hazardous Glossary/ IndexPDF