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
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AI and Public Health
This course is part of AI for Good Specialization
Instructor: Robert Monarch
18,501 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(248 reviews)
Beginner level
Recommended experience
Flexible schedule
8 hours to complete
Learn at your own pace
98%
Most learners liked this course
Skills you'll gain
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Exploratory Data Analysis
- Category: Environmental Monitoring
- Category: Jupyter
- Category: Data Analysis
- Category: Deep Learning
- Category: Public Health
- Category: Information Privacy
- Category: Model Evaluation
- Category: Machine Learning
- Category: Artificial Intelligence
- Category: Data Ethics
- Category: Data Preprocessing
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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
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
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
4.8 (93 ratings)Robert Monarch
DeepLearning.AI
3 Courses 32,794 learners
Offered by
DeepLearning.AI
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Learner reviews
4.8
248 reviews
- 5 stars
83.87%
- 4 stars
11.69%
- 3 stars
2.41%
- 2 stars
0.80%
- 1 star
1.20%
Showing 3 of 248
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.
DE
4
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.
TN
4
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.
Frequently asked questions
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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