How long does the course take? The official site says, "We expect it will take approximately 5-10 hours to finish each part of the course. (Total Time: (30-60 hrs.)
I enjoyed taking this class and creating the study guides for the Career Acclerator. Before taking the class, I had a basic understanding of Artificial Intelligence, Machine Learning, and Neuro Linguistic Networks. There are so many business use cases for improving business effectives by leveraging AI, ML, and MLP. I enjoyed doing the Unit Exercises. If you are someone who likes solving puzzles you will find this course enjoyable. 
I really enjoyed the course. My role in the group was student and tutor. It was great getting to know everyone who dropped in to attending like tutoring sessions. 
I loved the challenge that the AI course brought on. As expected the logical areas were quite ‘easy’ for me even the more complex areas. But I found the Neuro section impossible to understand and was challenged visualizing the movement of the small and medium plates from left to right. I like to draw these movements out. I had limited knowledge about AI so this was mostly new to me.
Before starting my tech exposure has been minimal, usually learning and seeing what is new through my middle and high school kids. Taking this course is starting to give me an understanding of how much AI is already incorporated into our day to day life and how the definition is constantly evolving and changing. How yesterday’s AI may not be considered AI today. Playing games such as chess is no longer considered that impressive for AI. It is now pretty much considered simple computing. But teaching a Robot how to grasp and pick up something is a much more sophisticated and advanced AI. As I go through the course, I am seeing how quickly AI is advancing and how it is likely to have a large effect on work and jobs that will be available to my children.
Loved the class! Very well thought-through and structured to smoothly bring in a learner who doesn’t know much about AI. I did have good working knowledge of it from my Econ-Tech-Humans research. But! The challenge I loved was the Bayes theorem’s chapter 3 – very key in “getting” AI. The rest was super logical and almost easy. Loved the peer-reviewed essays part of the testing, especially the finals.
I liked this course a lot! It felt broad-based, covered some very tough topics in an easy way, and even had a bit of humor sprinkled in for good measure. I really enjoyed learning about recommendation (classification) algorithms. As a classically trained engineer, I’ve dealt with regression methods and plenty of statistics before, but never had a more “down to earth” example of how this it’s used in everyday life. While I enjoy the technical, methodical science behind engineering, engaging in practical solutions that actually help people is my passion. Fortunately, that’s what this course was all about so I loved it! 
AI has been a buzz word for a while now, but I was surprised to learn that it goes back to 1950s and was used in the games first. Today there are numerous applications and many more will be emerging. The course has a good mix of general information and explanation of the math and algorithms. 
Hiring Goes Hybrid: Social Recruiting is Overtaking Traditional Methods of Hiring
Tracy Levine, Forbes Coaches Council
The internet has facilitated the most significant impact on how we get hired. For your career to continue to experience growth and expansion, it is crucial that you know where to be seen and heard online. Getting hired in 2021 will require a multi-faceted approach, including targeted resumes and applying for jobs online while capitalizing on the new innovative ways hiring managers are using the internet and social media for hiring.
