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
Ends tomorrow! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now
AI and Public Health
This course is part of AI for Good Specialization
Instructor: Robert Monarch
19,211 already enrolled
Gain insight into a topic and learn the fundamentals.
251 reviews
Beginner level
Recommended experience
Flexible schedule
9 hours to complete
Learn at your own pace
98%
Most learners liked this course
Skills you'll gain
- Environmental Monitoring
- Applied Machine Learning
- Data Analysis
- AI literacy
- Supervised Learning
- Data Ethics
- Responsible AI
- Public Health
- Healthcare Ethics
- Model Evaluation
- Information Privacy
- Data Preprocessing
- Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Exploratory Data Analysis
- Machine Learning Algorithms
- Artificial Intelligence
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
91%
of learners achieved a positive career outcome
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
(93 ratings)Offered by
Explore more from Machine Learning
DeepLearning.AI
DeepLearning.AI
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
84.12%
- 4 stars
11.50%
- 3 stars
2.38%
- 2 stars
0.79%
- 1 star
1.19%
Showing 3 of 251
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.
TN
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.
