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
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Gain insight into a topic and learn the fundamentals.
252 reviews
Beginner level
Recommended experience
Flexible schedule
9 hours to complete
Learn at your own pace
98%
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Skills you'll gain
- Responsible AI
- Machine Learning Algorithms
- Applied Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Information Privacy
- Model Training
- Public Health
- AI literacy
- Supervised Learning
- Artificial Intelligence
- Data Manipulation
- Environmental Monitoring
- Model Evaluation
- Healthcare Ethics
- Machine Learning
- Data Ethics
- Exploratory Data Analysis
- Data Analysis
Tools you'll learn
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
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Showing 3 of 252
AC
Reviewed on Aug 28, 2023
This course helped me to get a better understanding of AI.And how to apply it on every day problems.
AL
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.
AS
Reviewed on Jul 14, 2023
Very comprehensive and accessible to a broad range of people.
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