DeepLearning.AI

AI and Climate Change

California, United States

The Non-degree in AI and Climate Change at DeepLearning.AI is a program for international students taught in English.

Introduction

DeepLearning.AI is a specialist online education platform founded in 2017 that focuses on practical, industry-relevant training in artificial intelligence and machine learning. Designed for learners at multiple levels, its courses emphasize hands-on projects, clear conceptual foundations and tools commonly used in industry. The platform’s flexible online format makes it accessible to professionals and students worldwide who want to build skills without relocating.

Courses and specializations are structured to help learners develop applied portfolios, with real-world assignments, code notebooks and community review. Collaboration with leading practitioners ensures content remains current with industry practice, and certificate programs help demonstrate competencies to employers. The platform also supports career transitions, offering guidance on interviewing for technical roles and connecting learners with opportunities to showcase their work.

For international learners seeking concentrated, practice-oriented AI education, DeepLearning.AI provides a clear route to upskill quickly and build demonstrable expertise. Its global learner community, modular course design and emphasis on project-based learning make it a pragmatic choice for those aiming to enter research, product or engineering roles in the AI ecosystem.

About the Program

The AI and Climate Change program is a non-degree course for students who want to learn about artificial intelligence and its applications in climate change. It's taught in English and lasts several weeks. The main advantage of this program is that it helps students understand how AI can be used to mitigate and adapt to climate change.

The curriculum includes four modules that review the mechanisms behind anthropogenic climate change and its impact on global temperatures and weather patterns. Students will work on two case studies, one using time series analysis for wind power forecasting and another using computer vision for biodiversity monitoring. These case studies help develop skills in data analysis, programming, and problem-solving.

After completing this program, students can pursue careers such as Climate Change Analyst, Sustainability Specialist, AI Researcher, or Environmental Consultant. They can work in industries like energy, government, or non-profit organizations, and employers may include companies like the National Oceanic and Atmospheric Administration or the Environmental Protection Agency.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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