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
This course is part of AI for Good Specialization

Instructor: Robert Monarch
18,184 already enrolled
(246 reviews)
Recommended experience
Skills you'll gain
- Category: Applied Machine Learning
- Category: Jupyter
- Category: Deep Learning
- Category: Responsible AI
- Category: Information Privacy
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Environmental Monitoring
- Category: Machine Learning
- Category: Public Health
- Category: Exploratory Data Analysis
- Category: Artificial Intelligence
- Category: Data Analysis
Details to know

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4 assignments
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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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246 reviews
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- 4 stars
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- 3 stars
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- 2 stars
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Reviewed on Jul 14, 2023
Very comprehensive and accessible to a broad range of people.
Reviewed on Sep 12, 2023
A good beginner course. Not super hands on, but gives a good overview of the process to building a good project.
Reviewed on Jul 18, 2023
It was a bonus learning Spanish (w/ subtitles on) and Python in action
Frequently asked questions
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