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
Sponsored by FutureX
14,386 already enrolled
(203 reviews)
Recommended experience
Skills you'll gain
- Predictive Analytics
- Artificial Intelligence
- Computer Science
- Data Management
- Machine Learning
- Predictive Modeling
- Computer Programming
- Jupyter
- Data Ethics
- Statistics
- Artificial Intelligence and Machine Learning (AI/ML)
- Analytics
- Environmental Monitoring
- Data Analysis
- Exploratory Data Analysis
- Data Governance
- Python Programming
- Statistical Modeling
- Data Science
- Applied Machine Learning
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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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Reviewed on Jul 19, 2023
Really an excellent course that motivates one to create new projects to solve societal problems. Kudos to the team. Thank you.
Reviewed on Aug 28, 2023
This course helped me to get a better understanding of AI.
Reviewed on Jan 6, 2024
In the area of the Labs, I expected it to be slightly more mentally challenging. Giving participants opportunity to make informed guesses and then autocorrecting errors.
Recommended if you're interested in Data Science
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