This course, Responsible AI: Applying AI Principles with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud.
As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
RD
Very happy to see the Ethics and responsibility that Google is taking toward AI.
AS
Really this course helps a lot. Absolutely genius for the beginners
JB
A well delivered and topical course, all professionals and students involved in any stage of AI products should take this course.
BB
A very informative course. Provides lots of examples of how and where google applied its 7 ethical principles and how it promotes AI ethics as being maintained.
RM
Great visual content and overview of best practices and resource materials.
CN
Great course. Module 4 repeats some info in earlier module. I used 1.75x speed for these sections.
NM
A good follow through segment to end the specialization path, highly recommended
RW
Very detail oriented, easily explained and content focused delivery.
JG
The last course feels very repetitive of itself 7 times over
MC
The training is timely and relevant since we are already on the trend of using AI. This course challenges to become responsible AI creator, producer or user.
DY
Very interesting to see all the Ethical elements that can go unforgotten behind AI
MI
Excellent for learners and most benificial first steps towards the journey of artificial intellignece
显示：20/215
A well delivered and topical course, all professionals and students involved in any stage of AI products should take this course.
Great course. Module 4 repeats some info in earlier module. I used 1.75x speed for these sections.
very very useful and understandable courses for beginners in the course very detailed and clearly described principles of artificial intelligence from Google the principle of transparency fairness accountability and privacy guided by these scientific achievements artificial intelligence from Google becomes safe understandable interesting and very promising direction of future study of all Google products in the work of artificial intelligence describes the full responsibility of Google for the products provided to users from all over the world Thank you very much to the creators of this course for the opportunity to study the principles of artificial intelligence Google!
This specialization is a great first stop when learning about Gen AI beyond the buzzwords. It helped me understand basic technical foundations as well as the complex world of responsible and ethica AI (which was a priority for me). I already feel that with this specialization I have a deeper understanding than some of the generic, viral content about GenAI that I've seen online.
The concept of Responsible AI was clearly explained. Google also were clear in stating that the knowledge shared comes form their own perspective. So, I understand this course is not checklist for responsible AI but sets a foundation for anyone who may have concerns or is interested in ensuring AI is developed responsibly. Thank you Google.
Great Course on Responsible AI Principles! This course helped me understand the importance of building AI systems that are ethical, fair, and transparent. It explained Google's 7 AI principles clearly with real-world context. Very helpful for beginners who want to learn how to apply responsible AI in practice. Highly recommended!
It was an interesting path, and it's definitely changed my whole perspective and viewpoint made me curious and eager to know and learn more want to dig deep into this world I'm sure you're going to fit me well especially having ADHD I should take advantage of this opportunity that Google blessed me with
The course was very well structured and engaging I specially like the real world example and the clear explanation of responsible ai principles. It gave me both practical knowledge and valuable insight into ethical ai practises with Google Cloud. Highly recommended for anyone interested in AI.
This is a great informative course providing step-by-step guidance on how to build AI Governance, explains challenges and risks and also showcases the application of responsible AI using several case studies and shares Google experience. Very useful course.
This course gave me a clear understanding of how to apply responsible AI principles using Google Cloud tools. I learned the importance of fairness, transparency, and data privacy in AI development. Highly recommended for anyone working with AI technologies.
Ótimo curso com bastante documentação e material sobre como criar uma AI responsável nas empresas, divulga a metodologia que a google usa e com isso nos apoia fazermos o mesmo.
A very informative course. Provides lots of examples of how and where google applied its 7 ethical principles and how it promotes AI ethics as being maintained.
The training is timely and relevant since we are already on the trend of using AI. This course challenges to become responsible AI creator, producer or user.
Thank you for this course. Very engaging and informative. Thank you for allowing us to download lecture notes!!!
Excellent for learners and most benificial first steps towards the journey of artificial intellignece
Great introduction to research, principles, concerns, future thoughts and possibilities of Gen AI.
Lots of great tips and to do so that you know how to be responsible in an organization with AI.
I really enjoyed this course and I was able to improve my knowledge with Coursera.
Very happy to see the Ethics and responsibility that Google is taking toward AI.
A good follow through segment to end the specialization path, highly recommended