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AI For Everyone, deeplearning.ai

4.8
2,915 notes
854 avis

À propos de ce cours

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI....

Meilleurs avis

par HC

May 12, 2019

I now are equipped with right attitude to AI projects, it's limitation and how it will affect our society/jobs. It is very beneficial for me to set up the right mindset to carry on to next AI courses.

par AA

Mar 09, 2019

I got a comprehensive overview of what AI is and the meanings of various concepts being talked about in this context. Excellent course for one to start on a solid ground. Five stars! Thank you Andrew.

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873 avis

par MEGAT AHMAD FAIZ AHMAD SHUKRI

May 22, 2019

This is a great course to provide introduction to AI for the general population. Although having first-hand knowledge in computer science and programming greatly helps fast comprehension on the topics discussed in the lecture, it is however not necessary and that the general population can still understand AI better and will improve the society should AI technology is implemented.

par Anas Ali

May 22, 2019

It is a good course to start your career AI

par usman shakeel

May 21, 2019

This course should be mandatory for every person specially the kids of this generation, because they should know in their early age that what you could be facing in their future, so that they have a right path in their early stage and progress fast

par Bhuvaneshwari Palanivel

May 21, 2019

E

par Nidhi Wadmark

May 21, 2019

I've been sharing the link to this course with anyone who I know is even remotely interested in AI. It's a must and a fantastic start.

par Mohammad Hassan Haroon

May 21, 2019

andrew nick you are too good

par Nabeel Raza

May 21, 2019

very good experience

par amir graily

May 21, 2019

in aerospace system engineering help us to acquire a big view of problem and manage interfaces between subsystems in product life cycle. this course from my point of view is a system engineering for AI project. thanks a lot for share your great knowledge professor.

par Shubhangi Sood

May 21, 2019

The course was an excellent primer and introduction into understanding what is AI and its related fields, especially from the standpoint of a non-practitioner. It helped me gain understanding into the jargon and verbiage of Machine Learning practitioners, and how essentially they map out their workflow and solutions. For business individuals, it's highly vital to take this course and bring a leveling ground in terms of their expectations of ML folks, and the reality.

par Gaurav Jain

May 21, 2019

Thanks Andrew. The course was very crisp and get's a view on where and how AI can useful.