AI for Good is an excellent course introducing the benefits of AI in the public health sector, climate change, and disaster management while highlighting that AI is not the be-all and the end-all solution for all the challenges; instead, it is a great addition to streamline the processes and gain valuable insights.

It provides a much-needed perspective in a time when AI is often excessively praised while human contribution is undervalued. This course is an eye-opener and a breeze to understand even without deep technical prowess; kudos to Mr.Robert Monarch for explaining the pros and cons of AI and the endless possibilities to explore in the fields of AI, ML, and deep learning.

This is one of the best course that I have done in a very long time. Earlier I was simply learning about a new technology for the technology sake, not having a real idea where, how and why the technology will be used. This course has been real eye opening for me. Giving me a clear idea about how to think about a technology and how to approach a problem. A Great Learning experience and I am thankful to the instructor Robert Monarch, the team at DeepLearning.AI and Coursera.

This is a high-level course about project strategy more than project coding. The instructor does an excellent job outlining the essential elements of judging whether an AI solution is appropriate for the task.

There is code to learn from, however! The notebooks employed in the course use some great tricks for coders to learn from!

One refreshing element was an early case study where the conclusion was that the AI mechanism applied was more trouble than it was worth! Fortunately, others were able to build on the experience of that project, and go on to achieve some success. However, it's important to learn the lesson that not all problems are nails for your hammer-only toolbox.

Review of “AI and Public Health” by DeepLearning.AI on Coursera I recently completed the AI and Public Health course offered by DeepLearning.AI on Coursera, and it was an outstanding learning experience. The course provides a clear introduction to AI and machine learning concepts and demonstrates how these technologies can be applied to solve real-world public health challenges within the AI for Good framework. Key Highlights: Beginner-friendly yet impactful: The content is well-structured, making complex AI concepts easy to understand without requiring deep technical expertise. Practical application: The hands-on Jupyter notebook labs, especially the air quality monitoring project for Bogotá, were insightful and helped bridge theory with practice. Problem-solving framework: The course emphasizes designing AI solutions responsibly, considering stakeholders and ethical implications. Instructor expertise: Robert Monarch brings deep industry experience, making the sessions engaging and relevant. Overall, this course is ideal for public health professionals, data enthusiasts, and anyone interested in leveraging AI for social impact. It not only teaches technical skills but also inspires learners to think critically about applying AI for societal benefit. Rating: ★★★★★ (5/5) Highly recommended for those looking to combine technology with meaningful change.

Robert Monarch is not just a brilliant teacher, but an inspiring figure in the realm of artificial intelligence. With a rich background in AI, including founding his own startups and developing AI products at tech giants like Google, Amazon, Microsoft, and Apple, he brings a wealth of knowledge and experience to the course.

This course feels like a call to action for learners to be part of the solution to some of the world's biggest challenges, which I appreciate and found motivating to continue learning.

The content is laid out neatly, abstracting away complexities to focus on the core of each topic. As a programmer, I appreciated the opportunity to delve into the 'hidden fluff' - the intricate details and complexities that were tucked away for those who wish to explore deeper (such as the util files).

A huge thanks to DeepLearning.AI for offering such a comprehensive and inspiring course. I highly recommend it to anyone looking to understand how AI can be leveraged for public health and to make a positive impact on society.

Quite surprisingly, the lecturer of the course "AI for Public Health" provided as one of the first examples a project that has failed due to a bad user experience. 

It was unexpected for me that so many projects actually would not need AI, as although it is a powerful tool, it is one of many possible. Therefore, the first question we should ask "Could AI add value to my project?". My last year's experience with ML also brought me to a scenario, where I realized the amount of samples provided by the client was not enough to characterize the material of the quarry. On one hand, no magic happened, on the other hand, it was still a result with a clear outcome.

I would recommend the course for someone who already works in Data Analysis and is interested in environmental topics, or for environmental specialists with basic Python knowledge, who would have an opportunity to see step-by-step how the data is analyzed and visualized in clean well-organized Jupyter Notebooks. The code is already there, one can just run it and play with the inputs a bit, so the programme is rather informative than challenging.

Great course! The framework for the development of AI projects was very helpful since it considered the stakeholders and defined the problem as well as walked you through how to consider the data at each step. I also appreciated how it talked about ways to evaluate whether a more complex AI solution was worth it compared to a simpler one. It's very applicable to real world project work.

This course was extremely well structure.

High level of clarity in the instructions.

Well balanced in terms of promoting trial and error, and acceptance for failure, for AI projects, in order to prioritise the highest level of impact.

A really good course, thank you, Team!

Framework is excellent. Love the code - such a huge work has been done. Idea of analyzing air pollution data in such a way is good.

I am really excited to move to the next course.

Really excellent course, I'm glad I enrolled and completed it. Very thought provoking, and I appreciate the real-world experience of the presenter. Also I found the Jupyter Notebook labs to be really well done.

An inspiring and practical course on using AI technologies for social good. The methodologies introduced for approaching these projects are very applicable and I'll try to apply them in my own projects.

Well constructed to allow depth of understanding from a variety of backgrounds, while also offering exposure to specific projects to get a sense of relative information.

This is a fantastic course. Really inspirational. Andd the code is an excellent way to learn how to sustainably fish for yourself! Thanks and all the best, David

Out of the three areas covered in the certification, Public Health was the one I had the least experience with. I enjoyed this course immensely, very insighful.

Many ideas and examples to apply AI for the benefit of humanity. Great job by the instructor, without the need for much background in AI.

Really an excellent course that motivates one to create new projects to solve societal problems. Kudos to the team. Thank you.

Such a delightful and committed course. Thanks for sharing your insights, experience and motivation in such a complex context

One of the best course to have deep insights on how to apply AI for good usecases and follow a common methodology

This course helped me to get a better understanding of AI.

And how to apply it on every day problems.

Great for starters, lose fear on the technical side, and stick to the problem solving approach.