In this course, you will be introduced to the basics of artificial intelligence and machine learning and how they are applied in real-world scenarios in the AI for Good space. You will also be introduced to a framework for problem solving where AI is part of the solution. The course concludes with a case study featuring three Jupyter notebook labs where you’ll create an air quality monitoring application for the city of Bogotá, Colombia.
AI and Public Health
AI and Public Health
This course is part of AI for Good Specialization
Instructor: Robert Monarch
Access provided by Pepperdine University
17,175 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(237 reviews)
Beginner level
Recommended experience
Flexible schedule
8 hours to complete
Learn at your own pace
99%
Most learners liked this course
Skills you'll gain
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
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This course is part of the AI for Good Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
What's included
10 videos4 readings1 assignment1 app item
What's included
18 videos3 readings2 assignments1 ungraded lab
What's included
9 videos3 readings1 assignment2 ungraded labs
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Instructor
Instructor ratings
4.9 (89 ratings)Offered by
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4.8
237 reviews
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Showing 3 of 237
JJ
5
Reviewed on Jul 18, 2023
It was a bonus learning Spanish (w/ subtitles on) and Python in action
AL
5
Reviewed on Dec 29, 2024
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.
MN
5
Reviewed on Dec 8, 2024
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.
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