DeepLearning.AI - AI and Public Health
- Offered byCoursera
AI and Public Health at Coursera Overview
Duration | 9 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
AI and Public Health at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Coursera Labs Includes hands on learning projects. Learn more about Coursera Labs External Link
- Course 1 of 3 in the AI for Good Specialization
- Beginner Level
- Approx. 9 hours to complete
- English Subtitles: English
AI and Public Health at Coursera Course details
- The AI for Good course is designed to introduce learners to the concept of using artificial intelligence to address social and environmental issues.
- We'll start by defining AI for Good, and explore various examples of AI for Good projects. You will get hands-on with a real-world concern, air quality in Bogotá, and use the AI for Good framework to define the problem, identify stakeholders, and determine where AI could fit. You will also learn how to interpret exploratory data analysis (EDA) graphs and use Python to explore air-quality data. The course also covers approaches for missing data imputation, model performance evaluation using mean absolute error (MAE), and interpreting EDA graphs and heatmaps.
- This is the first course in the AI for Good Specialization, which demonstrates how AI is being utilized to address some of the world's biggest challenges and provides a framework for you to be part of the solution.
- This is a beginner-friendly course. Learners should know high school-level math and basic spreadsheet operations.
AI and Public Health at Coursera Curriculum
Introduction to AI for Good
Welcome to AI for Good!
What is AI for Good?
Microsoft AI for Good Lab: Juan Lavista Ferres
The Courses in this Specialization
Project spotlight: Charles Onu & Ubenwa Health
What Is Artificial Intelligence?
How Supervised Learning Works
Anomaly Detection in Breast Cancer Imaging - Felipe Oviedo
Considering the Impact of Your AI for Good Project
Week 1 Summary
Week 1 Resources
What is AI?
AI for Good Project Framework
AI for Good Framework
Explore - Maternal and Infant Health in Nigeria
Explore - Problem Definition and Stakeholders
Explore - Could AI Add Value?
Design Your Solution
Implement Your Solution
Evaluate Your Results
Project Spotlight: Building an Ethical Supply Chain - Iva Gumnishka
Exploring Air Quality
Sources of Air Pollution
Measuring Air Quality
Air Quality in Bogotá, Colombia
Spotlight Video: Tackling Air Pollution: Bogotá District Secretariat of Environment
Air Quality Project: Explore Phase
Air Quality Project: Intro to Jupyter Notebook Labs
Air Quality - Explore and Visualize Missing Data
Air Quality: Explore Phase 2
Explore Phase Checkpoint and Week 2 Summary
Week 2 Resources
AI for Good Framework
Exploring Air Quality
Air Quality in Bogotá Colombia
Air Quality - Design and Implement Phases
Establishing a Baseline for Estimating Missing Values
Air Quality - Train and Test a Neural Network
Design a Strategy for Estimating Between Sensors
Design Phase Checkpoint and Summary
Air Quality: Implement Your Project
Air Quality: Implement Checkpoint and Evaluation of Your Project
Project Spotlight: Air Pollution in South Africa - Tapiwa Chiwewe
Course 1 Wrap up
Week 3 Resources
Air Quality Design and Implementation