Master a step-by-step framework for the development of AI projects.
Professional CertificateBeginner
AI for Good
Instructor: Robert Monarch
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Also available on Coursera
- Beginner
- 118 Video Lessons
- 17 Code Examples
- 11 Graded Assignments PRO
- Earn a certificate with PRO
- Instructor: Robert Monarch
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Also available on Coursera
What you'll learn
Analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management.
Explore real-world case studies related to public health, climate change, and disaster management.
Learn through real-world projects
Develop an AI model to make wind power generation more predictable by providing forecasts 24 hours into the future.
Use neural networks and other AI techniques to estimate air quality throughout the city of Bogotá, Colombia.
Build an image classification pipeline to perform damage assessment using satellite images taken after Hurricane Harvey in the U.S. in 2017.
Use natural language processing techniques to analyze trends in a corpus of text messages sent in the aftermath of the 2010 earthquake in Haiti.
Apply computer vision techniques to detect and classify animals for the purpose of biodiversity monitoring.
Course Outline
AI and Public Health
Week 1: Introduction to AI for Good
Week 2: AI for Good Project Framework
Week 3: Air Quality in Bogotá Colombia
AI and Climate Change
Week 1: Introduction to AI and Climate Change
Week 2: Wind Power Forecasting
Week 3: Monitoring Biodiversity
Week 4: Monitoring Biodiversity Loss
AI and Disaster Management
Week 1: Introduction to AI and Disaster Management
Week 2: Satellite Imagery to Detect Disaster Locations
Week 3: Analyzing Text Data to Gain Insights
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Instructor
In partnership with Microsoft’s AI for Good Lab
These courses were built in partnership with researchers at the Microsoft AI for Good Lab who offered their subject matter expertise throughout the development of the program.
Who should join?
The AI for Good Specialization is designed to be accessible for everyone. We recommend some experience working with data, and performing some basic analysis on your data using tools such as spreadsheets. Whether you’re a student, professional, or someone passionate about making a positive impact on society and the environment, this program provides the tools and knowledge you will need to work on AI for Good initiatives.
Skills you will gain
AI for Good project framework
Jupyter Notebooks
Supervised Machine Learning
Computer Vision
Natural Language Processing
Exploratory Data Analysis
Time Series Analysis
Air Quality Monitoring
Biodiversity Monitoring
Wind Power Generation Modeling
Topic Modeling
Damage Assessment
Learner reviews
Alex F.
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.
Vinay K.
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.
David M.
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.
The lab notebooks are wonderfully clear, and there are some neat techniques in your utils.py files.
Overall, it was a great course.
David L.
This is a fantastic course. Really inspirational. And the code is an excellent way to learn how to sustainably fish for yourself! Thanks and all the best, David
Darshan D.
I am a mother of 2 teenager girls and we all are involved in finding solutions for problems defined under the UN sustainable goal development.
I loved the course, you made it so easy to follow along with Python code and through project-based learning.
Course Slides
You can download the annotated version of the course slides below.
*Note: The slides might not reflect the latest course video slides. Please refer to the lecture videos for the most up-to-date information. We encourage you to make your own notes.Frequently Asked Questions
Why should I take this specialization?
Whether you’re a student, professional, or someone passionate about making a positive impact on society and the environment, this program provides the tools and knowledge you will need to work on AI for Good initiatives.
What background knowledge is necessary for AI for Good?
This is a beginner-friendly specialization with minimal background knowledge required. Some prior experience in working with data (spreadsheets, etc) is recommended. Python will be used for ungraded labs, but previous experience is not required. This is a great place to start if you’re new to AI and want to learn how it can be applied to real-world challenges.
I don’t have any programming experience, can I take this specialization?
Yes. Programming experience is not required to take this course.
I have intermediate Python experience, is this specialization for me?
If you’re looking to apply those skills in an AI for Good project, then yes! Although the labs for this specialization will be beginner-level, you’ll be able to dig into the code behind each case study and get more creative and manipulate the data and models used in this specialization in more advanced ways.
I’m looking for a course that will help me build my technical skills in AI, is AI for Good for me?
If you’re looking for only AI skill-building, we recommend starting with AI for Everyone or the Machine Learning Specialization. AI for Good is designed to build conceptual skills in AI, and focuses on their use in AI for Good contexts.
Do I need to take the courses in a specific order?
We recommend taking the courses in the prescribed order for a logical and consistent learning experience.
How much does the DeepLearning.AI Pro membership cost?
The DeepLearning.AI Pro membership costs $25/mo billed annually and $30/mo billed monthly.
More pricing details are available on the membership page.
Important details:
- All prices are listed in USD
- Payments are processed securely via Stripe
- Taxes may apply depending on your location
Will I receive a certificate at the end of the specialization?
You will receive a certificate at the end of each course if you complete all the quizzes and assessments. If you complete all 3 courses in the Specialization, you will also receive an additional certificate showing that you completed the entire Specialization.
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