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Artificial Intelligence
Artificial Intelligence
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DeepLearning.AI

AI for Good Specialization

  • up to 3 months
  • Intermediate

This specialization teaches you how to combine human and machine intelligence to address complex challenges. You will learn to develop AI projects focused on air quality, wind energy, biodiversity monitoring, and disaster management.

  • AI for Good project framework
  • Supervised Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Exploratory Data Analysis

Overview

In this specialization, you will master a step-by-step framework for developing AI projects. You will analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management. Through real-world case studies, you will explore public health, climate change, and disaster management, and develop practical skills to make a positive impact using AI.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Students

Individuals currently enrolled in academic programs who are interested in applying AI to solve real-world problems.

Professionals

Working professionals looking to enhance their skills in AI and apply them to humanitarian and environmental projects.

Passionate Individuals

Anyone passionate about making a positive impact on society and the environment through the use of AI.

Why should you take this course?

Artificial Intelligence

Juan Lavista Ferres

VP Data Science, AI for Good Lab, Microsoft

This course provides the tools and knowledge needed to work on AI for Good initiatives, focusing on humanitarian and environmental projects. It covers key AI techniques and real-world applications, making it ideal for students, professionals, and passionate individuals.

Pre-Requisites

1 / 3

  • Experience working with data and performing basic analysis using tools such as spreadsheets

  • Basic understanding of AI concepts and machine learning

  • Intermediate Python programming experience

What will you learn?

Course 1: AI and Public Health
This course covers the application of AI in public health, including identifying asphyxiation in babies' cries and anomaly detection in breast cancer imaging.
Course 2: AI and Climate Change
This course explores the use of AI to address climate change, including wind power forecasting and biodiversity monitoring.
Course 3: AI and Disaster Management
This course focuses on using AI for disaster management, including damage assessment using satellite imagery and analyzing text data from disaster situations.
Week 1: Introduction to AI for Good
Define AI for Good, explain AI, machine learning, and deep learning, and discuss AI limitations and ethical questions.
Week 2: AI for Good Project Framework
Describe the AI for Good project development framework and explore a real-world problem using the framework.
Week 3: Air Quality in Bogotá Colombia
Design and implement an AI project for air quality monitoring in Bogotá, including data exploration and model training.
Week 1: Introduction to AI and Climate Change
Describe the impact of greenhouse gas emissions and climate change, and identify AI applications in this context.
Week 2: Wind Power Forecasting
Explore a wind power forecasting problem using the AI for Good framework and design an AI project for this purpose.
Week 3: Monitoring Biodiversity
Describe the impact of climate change on biodiversity and use image data for biodiversity monitoring.
Week 4: Monitoring Biodiversity Loss
Implement a Convolutional Neural Network for classifying animals in camera trap data and evaluate the model's performance.
Week 1: Introduction to AI and Disaster Management
Examine the impacts of disasters, define the disaster management cycle, and discuss ethical considerations.
Week 2: Satellite Imagery to Detect Disaster Locations
Explore satellite images from Hurricane Harvey and design an AI project for disaster response using satellite data.
Week 3: Analyzing Text Data to Gain Insights
Explore text data from the Haiti Earthquake and implement topic modeling to gain insights for disaster response.

What learners say about this course

  • “I found the AI and Climate Change course extremely interesting and useful. It was a unique combination of two of the most important topics of our time – artificial intelligence and climate change. The course material was deep and insightful, providing me with valuable knowledge and practical skills. I learnt how to use AI to analyse and predict climate change, which I am sure will be an important tool in my future career. Overall, I highly recommend this course to anyone interested in AI and climate change.”

    Alex F.

    Geo Data Analyst

  • “I was always interested in climate change and have been involved in Climate Tech startups in the past. This course has inspired me to consider a new AI tech startup in the area. Appreciate your guidance and explaining the case studies that can help me formulate a few ideas of my own.”

    Vinay K.

    DeepLearning.AI Learner

  • “I deeply appreciate your comments about how defining the problem you’re trying to solve can take weeks or months, and also appreciated the inclusion that the system you built did not work out in the end in AI and Public Health. Both are excellent lessons for students to learn.”

    David M.

    Senior Software Engineer

Meet your instructors

  • Robert Monarch

    Senior Machine Learning Manager, Apple

    Robert Monarch (formerly Robert Munro) leads engineering teams at Apple focused on tasks including: machine learning; annotation; anti-fraud; and privacy-preserving architectures for new products.

  • Sasha Luccioni

    AI Researcher - Climate Lead, Hugging Face

    Sasha Luccioni is an AI researcher - Climate Lead who focuses on creating ethical & sustainable data and model development tools and best practices. Her recent experience includes developing metrics, contributing to democratizing AI and ML, & collaborating with Hugging Face in these efforts. Sasha specializes in using AI to tackle critical climate challenges while minimizing its negative impacts.

Upcoming cohorts

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$49