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AI and Public Health

Robert Monarch

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.

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What's inside

Syllabus

Introduction to AI for Good
AI for Good Project Framework
Air Quality in Bogotá Colombia
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Suitable for beginners in AI and machine learning
Focuses on real-world applications of AI in the AI for Good space
Provides a problem-solving framework that integrates AI

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Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

Ai for public health: practical applications

According to learners, this course provides a fantastic introduction to how AI can be leveraged for real-world public health challenges. Many find the emphasis on AI for Good inspiring and highly relevant. The Bogotá air quality case study and Jupyter labs are frequently praised as insightful and practical, helping to cement understanding. While the course excels in showing AI's impact beyond theory and offers a useful problem-solving framework, some learners with an intermediate AI background noted that the AI explanations are quite basic, suggesting it is more suitable for beginners in AI.
Complex concepts clearly explained with useful framework.
"The instructors explained complex concepts clearly."
"I appreciated the framework for problem-solving."
"Learned a lot about applying AI to real-world problems. The 'AI for Good' framework is very useful."
Insightful case study with practical Jupyter notebook labs.
"The case study on Bogotá's air quality was particularly insightful and the Jupyter labs were very practical."
"The hands-on labs were challenging but rewarding. This course truly shows the potential of AI in solving real-world problems."
"The Jupyter notebooks were well-structured and provided good practical experience."
Focuses on real-world AI use in public health and social impact.
"This course was a fantastic introduction to how AI can be leveraged for real-world public health challenges."
"It connects AI concepts directly to public health issues, which is exactly what I was looking for. The emphasis on AI for Good was inspiring."
"Incredibly relevant for today's world. The focus on public health applications makes AI accessible and meaningful."
Limited technical depth for advanced AI users.
"As someone with an intermediate AI background, I found the AI explanations quite basic."
"I found the course a bit too conceptual. While the idea of AI for Good is great, I was hoping for more technical depth in the AI models used."
"The course is suitable for those new to AI...but maybe not for those expecting deep dives into algorithms."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AI and Public Health with these activities:
Take Online Courses on AI for Good
Supplement your course knowledge with additional learning resources on AI for Good.
Browse courses on AI for Good
Show steps
  • Explore online learning platforms for AI for Good courses.
  • Enroll in courses that align with your interests and goals.
  • Complete the courses and apply the knowledge to your projects.
Review Linear Algebra and Calculus
Strengthen your foundation in mathematics to enhance your understanding of AI and machine learning algorithms.
Browse courses on Machine Learning
Show steps
  • Review key concepts of linear algebra and calculus.
  • Solve practice problems and review course materials.
  • Attend a refresher workshop or online course if needed.
Review Introduction to Artificial Intelligence by Philip C. Jackson
Helps familiarize students with the core concepts and terminology of AI before the course begins.
View Introduction to Artificial Intelligence on Amazon
Show steps
  • Read chapters 1-3
  • Summarize the key concepts in each chapter
  • Identify and define the unfamiliar terms
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Volunteer with an AI for Good Organization
Gain practical experience in applying AI for social good and contribute to meaningful projects.
Browse courses on AI for Good
Show steps
  • Research organizations working on AI for Good initiatives.
  • Contact organizations and inquire about volunteer opportunities.
  • Participate in AI-related projects and events.
Read Artificial Intelligence: A Modern Approach
Build a strong foundation in artificial intelligence and machine learning by reviewing key concepts and algorithms.
View Melania on Amazon
Show steps
  • Read Chapters 1-3 to gain an overview of AI and machine learning.
  • Solve practice problems from the book's website or other online resources.
  • Discuss the concepts with classmates or online forums.
Join a study group to discuss course concepts and assignments
Promotes collaboration and knowledge sharing among students, enhancing understanding and retention
Browse courses on AI for Good
Show steps
  • Find or create a study group with peers
  • Meet regularly to discuss course material
  • Share notes, insights, and perspectives
  • Collaborate on projects and assignments
Complete the AI & Machine Learning Coursera Puzzle on DataCamp
Provides hands-on practice with AI and machine learning techniques, reinforcing the concepts
Browse courses on AI
Show steps
  • Sign up for a free DataCamp account
  • Enroll in the AI & Machine Learning Coursera Puzzle
  • Complete the interactive exercises and quizzes
  • Review the solutions and explanations
Join an AI for Good Study Group
Collaborate with peers, share knowledge, and enhance your understanding of AI for Good concepts.
Browse courses on AI for Good
Show steps
  • Connect with classmates or join online forums.
  • Organize regular study sessions to discuss course materials.
  • Work on projects and assignments together.
Create a mind map of the AI for Good framework
Encourages active engagement with the course material and helps visualize the key components of AI for Good
Browse courses on AI for Good
Show steps
  • Identify the main concepts and principles of AI for Good
  • Create a visual representation of the framework
  • Connect the different elements and show their relationships
Solve Leetcode Problems
Improve your problem-solving skills and reinforce your understanding of machine learning concepts by solving coding challenges.
Browse courses on Machine Learning
Show steps
  • Choose a set of problems related to machine learning.
  • Solve the problems using your preferred programming language.
  • Review your solutions and identify areas for improvement.
Attend a workshop on AI ethics and responsible AI
Exposes students to ethical considerations and best practices in AI development, fostering critical thinking and responsible AI practices
Browse courses on AI Ethics
Show steps
  • Research upcoming AI ethics workshops
  • Register for a workshop that aligns with your interests
  • Attend the workshop and actively participate in discussions
  • Reflect on the ethical implications of AI and apply these insights to your own work
Develop a prototype for an AI solution to an air quality issue
Provides practical experience in applying AI to solve real-world problems and fosters creativity and innovation
Browse courses on AI for Good
Show steps
  • Identify an air quality issue in your community
  • Design an AI solution that addresses the issue
  • Build a prototype of the solution using Jupyter notebook labs
  • Present your prototype to the class for feedback
Develop an AI for Good Impact Plan
Plan and document your strategies for using AI for social good, defining goals, metrics, and implementation details.
Browse courses on AI for Good
Show steps
  • Identify a social problem you want to address with AI.
  • Research AI technologies and approaches relevant to the problem.
  • Develop a plan for implementing and evaluating your AI solution.

Career center

Learners who complete AI and Public Health will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist analyzes data to extract meaningful insights and make data-driven decisions. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are essential tools for data science. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Data Scientists who need to identify and develop AI-based solutions.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are essential for Machine Learning Engineers. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Machine Learning Engineers who need to identify and develop AI-based solutions.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in software development. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Software Engineers who need to identify and develop AI-based solutions.
See salaries and explore the career path for Software Engineer
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in data analysis. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Data Analysts who need to identify and develop AI-based solutions.
See salaries and explore the career path for Data Analyst
Product Manager
A Product Manager is responsible for the development and launch of new products. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in product development. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Product Managers who need to identify and develop AI-based solutions.
See salaries and explore the career path for Product Manager
Business Analyst
A Business Analyst analyzes business processes and identifies opportunities for improvement. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in business analysis. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Business Analysts who need to identify and develop AI-based solutions.
See salaries and explore the career path for Business Analyst
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in project management. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Project Managers who need to identify and develop AI-based solutions.
See salaries and explore the career path for Project Manager
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in consulting. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Consultants who need to identify and develop AI-based solutions.
See salaries and explore the career path for Consultant
Public Health Analyst
A Public Health Analyst collects, analyzes, and interprets data to identify and address public health issues. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in public health. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Public Health Analysts who need to identify and develop AI-based solutions.
See salaries and explore the career path for Public Health Analyst
Data Science Manager
A Data Science Manager is responsible for leading and managing a team of data scientists. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are essential for Data Science Managers. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Data Science Managers who need to identify and develop AI-based solutions.
See salaries and explore the career path for Data Science Manager
Machine Learning Researcher
A Machine Learning Researcher conducts research on new machine learning algorithms and techniques. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are essential for Machine Learning Researchers. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Machine Learning Researchers who need to identify and develop AI-based solutions.
See salaries and explore the career path for Machine Learning Researcher
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs, develops, and deploys artificial intelligence systems. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are essential for Artificial Intelligence Engineers. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Artificial Intelligence Engineers who need to identify and develop AI-based solutions.
See salaries and explore the career path for Artificial Intelligence Engineer
Health Informatics Specialist
A Health Informatics Specialist collects, analyzes, and interprets health data to improve patient care. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in health informatics. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Health Informatics Specialists who need to identify and develop AI-based solutions.
See salaries and explore the career path for Health Informatics Specialist
Epidemiologist
An Epidemiologist investigates the causes and spread of disease. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in epidemiology. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Epidemiologists who need to identify and develop AI-based solutions.
See salaries and explore the career path for Epidemiologist
Biostatistician
A Biostatistician applies statistical methods to solve problems in biology and medicine. This course may be useful in helping build a foundation for understanding the underlying principles of artificial intelligence and machine learning, which are increasingly being used in biostatistics. The course also introduces a framework for problem solving where AI is part of the solution, which can be valuable for Biostatisticians who need to identify and develop AI-based solutions.
See salaries and explore the career path for Biostatistician

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AI and Public Health.
Cover image
The Rest Is Silence
Save
Provides a comprehensive overview of AI for Good, its applications, and its ethical implications. It useful reference for understanding the foundations of AI for Good and its role in various domains.
Rest Is Silence: Death as Annihilation in the...
Paperback
$$
The Rest Is Silence: Death as Annihilation in the...
Kindle Edition
$$
Cover image
The Australian Policy Handbook
Save
Offers a comprehensive overview of AI in healthcare. It provides a non-technical introduction to AI concepts and their applications in various healthcare domains.
The Australian Policy Handbook: A Practical Guide...
Hardcover
$$$$
The Australian Policy Handbook: A Practical Guide...
Kindle Edition
$$
Cover image
Deep Medicine
Save
Explores the transformative impact of AI on healthcare. It covers topics such as medical diagnosis, drug discovery, and personalized medicine, providing insights into the potential and challenges of AI in healthcare.
Deep Medicine: How Artificial Intelligence Can Make...
Hardcover
$$
(Deutsch) Deep Medicine -- Künstliche Intelligenz in der...
Kindle Edition
$
(Pусский) Искусственный интеллект в медицине: Как умные...
Kindle Edition
$
Cover image
The Smart Enough City
Save
Explores the challenges and opportunities of AI in the public sector. It provides practical guidance on how to develop and implement AI solutions to improve public services.
The Smart Enough City: Putting Technology in Its...
Paperback
$$
被科技綁架的智慧城市: The Smart Enough City: Putting...
Kindle Edition
$
Cover image
Modeling and Reasoning with Bayesian Networks
Save
Focuses on the application of deep learning techniques in healthcare. It provides a comprehensive overview of methods, tools, and case studies, making it a valuable resource for researchers and practitioners in the field.
Modeling and Reasoning with Bayesian Networks
Paperback
$$$
By Adnan Darwiche - Modeling and Reasoning with...
Hardcover
$$$$
Modeling and Reasoning with Bayesian Networks
Kindle Edition
$$$
Cover image
Practical Data Analytics for Innovation in Medicine
Save
Explores the ethical and societal implications of AI for Good. It provides a framework for assessing the potential impacts of AI and ensuring its responsible use.
Practical Data Analytics for Innovation in Medicine...
Kindle Edition
$$$

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Course image
Effort
Approx. 8 hours
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Robert Monarch
Language
English
Transcripts
Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова magyar nyelv Bahasa Indonesia ไทย қазақша اُردُو, فارسی বাংলা پښتو آذربایجان دیلی
This course belongs to a collection called AI for Good. It's comprised of three courses:
  1. AI and Public Health (viewing)
  2. AI and Disaster Management
  3. AI and Climate Change
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Suitable for beginners in AI and machine learning
Focuses on real-world applications of AI in the AI for Good space
Provides a problem-solving framework that integrates AI
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