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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/u84qwd/ai
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What's inside
Syllabus
Introduction to AI for Good
AI for Good Project Framework
Air Quality in Bogotá Colombia
Read more
Syllabus
Introduction to AI for Good
AI for Good Project Framework
Air Quality in Bogotá Colombia
Read more
Good to know
Good to know
Know what's good ,
what to watch for , 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
Save this course
Save AI and Public Health to your list so you can find it easily later:
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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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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.
Take Online Courses on AI for Good
Show steps
Supplement your course knowledge with additional learning resources on AI for Good.
Browse courses on
AI for Good
Show steps
Show steps
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
Show steps
Strengthen your foundation in mathematics to enhance your understanding of AI and machine learning algorithms.
Browse courses on
Machine Learning
Show steps
Show steps
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
Show steps
Helps familiarize students with the core concepts and terminology of AI before the course begins.
View
Introduction to Artificial Intelligence
on Amazon
Show steps
Show steps
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
Show steps
Gain practical experience in applying AI for social good and contribute to meaningful projects.
Browse courses on
AI for Good
Show steps
Show steps
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
Show steps
Build a strong foundation in artificial intelligence and machine learning by reviewing key concepts and algorithms.
View
Melania
on Amazon
Show steps
Show steps
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
Show steps
Promotes collaboration and knowledge sharing among students, enhancing understanding and retention
Browse courses on
AI for Good
Show steps
Show steps
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
Show steps
Provides hands-on practice with AI and machine learning techniques, reinforcing the concepts
Browse courses on
AI
Show steps
Show steps
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
Show steps
Collaborate with peers, share knowledge, and enhance your understanding of AI for Good concepts.
Browse courses on
AI for Good
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
Improve your problem-solving skills and reinforce your understanding of machine learning concepts by solving coding challenges.
Browse courses on
Machine Learning
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
Provides practical experience in applying AI to solve real-world problems and fosters creativity and innovation
Browse courses on
AI for Good
Show steps
Show steps
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
Show steps
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
Show steps
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:
Machine Learning Engineer
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.
Data Scientist
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.
Software 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.
Data Analyst
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.
Project Manager
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.
Business Analyst
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.
Product Manager
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.
Consultant
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.
Public Health Analyst
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.
Biostatistician
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.
Data Science Manager
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.
Artificial Intelligence Engineer
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.
Machine Learning Researcher
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.
Health Informatics Specialist
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.
Epidemiologist
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.
For more career information including salaries, visit:
OpenCourser.com/course/u84qwd/ai
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.
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.
Offers a comprehensive overview of AI in healthcare. It provides a non-technical introduction to AI concepts and their applications in various healthcare domains.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/u84qwd/ai
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Level
Introductory
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Coursera
Institution
DeepLearning.AI
Instructor
Robert Monarch
Language
English
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This course belongs to a
collection
called
AI for Good. It's comprised of three courses:
- AI and Public Health (viewing)
- AI and Disaster Management
- AI and Climate Change
Good to know
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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