Save For Later

AI for Good

Save For Later

Learn AI's role in addressing big challenges

The AI for Good Specialization showcases how artificial intelligence (AI) is being leveraged to address some of the world’s biggest challenges and equips you with the framework and skill set to be part of the solution. You’ll learn from experts driving AI initiatives aimed at addressing social and environmental issues from addressing climate change to supporting disaster response efforts. By combining human and machine intelligence, real-world datasets, best practices around data privacy, and ethical considerations, you’ll develop the knowledge and fundamental skills to tackle AI for good projects. These skills will enable you to make informed decisions that not only benefit society but also ensure that your initiatives are effective and sustainable. To create this program, we partnered with Microsoft’s AI for Good Lab and lead instructor Robert Monarch, author of Human-in-the-Loop Machine Learning and disaster response professional. He brings a wealth of expertise on how AI can be used to support disaster response and other critical applications. This Specialization is designed to be accessible for everyone. Whether you’re a student, professional, or someone passionate about making a positive impact on society and the environment, this program provides needed tools and knowledge needed to work on AI for good initiatives right away. Join AI for Good and become part of a community that's committed to using AI for the betterment of society and the planet.

Read More

OpenCourser is an affiliate partner of Coursera and may earn a commission when you buy through our links.

From deeplearning.ai via Coursera
Hours 36
Instructor Robert Monarch
Language English
Subjects Programming Data Science Art & Design

Similar Courses

Sorted by relevance

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Disaster Workforce Specialist $42k

Response Coordinator $43k

Response officer $48k

Disaster Response Team Member/Sheltering $49k

Program Manager -- Disaster Response Manager $49k

Disaster Coordinator $53k

FEMA-Disaster Response Geotechnical Engineers - Houston $55k

FEMA-Disaster Response Civil Engineers - Houston $60k

Disaster AssistanceTeam member $63k

Disaster Preparedness Specialist $71k

Disaster Relief Specialist $88k

IT Disaster Recovery Analyst $95k

Courses in this Specialization

Listed in the order in which they should be taken

Starts Course Information

On Demand

AI and Public Health

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...

Coursera | deeplearning.ai

Save

On Demand

AI and Climate Change

In Course 2: AI for Climate Change, you will begin by learning the basics of anthropogenic climate change — why it is happening, its projected impacts, and how it is already...

Coursera | deeplearning.ai

Save

On Demand

AI and Disaster Management

In Course 3, AI for Disaster Response, you will begin by learning how natural disasters create both short and long-term impacts on the economy, environment, and community. You...

Coursera | deeplearning.ai

Save

Coursera

&

deeplearning.ai

From deeplearning.ai via Coursera
Hours 36
Instructor Robert Monarch
Language English
Subjects Programming Data Science Art & Design

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Disaster Workforce Specialist $42k

Response Coordinator $43k

Response officer $48k

Disaster Response Team Member/Sheltering $49k

Program Manager -- Disaster Response Manager $49k

Disaster Coordinator $53k

FEMA-Disaster Response Geotechnical Engineers - Houston $55k

FEMA-Disaster Response Civil Engineers - Houston $60k

Disaster AssistanceTeam member $63k

Disaster Preparedness Specialist $71k

Disaster Relief Specialist $88k

IT Disaster Recovery Analyst $95k

Similar Courses

Sorted by relevance