Course Overview
Title: Digital Technologies, Machine Learning, and Artificial Intelligence in Climate Change
Delivery Mode: Online
Duration: 5 Weeks
This course is a comprehensive blend of theoretical knowledge and practical skills designed to equip participants with the tools needed to address pressing climate challenges. With an emphasis on the role of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), and digital tools, this course will enable students to:
- Understand the critical role of technology in climate adaptation and mitigation.
- Develop skills in analyzing and managing climate-related data.
- Use AI and ML to propose innovative solutions for climate resilience.
Audience: This course is designed for participants from diverse backgrounds, including professionals, researchers, policymakers, and students interested in leveraging digital technologies for climate action.
Learning Outcomes:
Upon completion, participants will:
- Understand the fundamentals of AI, ML, and digital tools in climate action.
- Apply these technologies to real-world challenges, such as disaster forecasting, carbon management, and policy decision-making.
- Develop projects that integrate AI and digital technologies to address climate risks and promote sustainable development.
Opportunities After Completing the Course:
Graduates will:
- Be well-positioned to work in organizations focused on climate change, sustainability, and environmental policy.
- Have the technical foundation to pursue further research or careers in AI, ML, and data science.
- Contribute to impactful projects that make use of technologies such as AI.
The course integrates interactive lectures, weekly hands-on labs, and a final capstone project to provide participants with the knowledge and skills necessary to become changemakers in climate technology.