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    Moodle is an open-source Learning Management System (LMS) that provides educators with the tools and features to create and manage online courses. It allows educators to organize course materials, create quizzes and assignments, host discussion forums, and track student progress. Moodle is highly flexible and can be customized to meet the specific needs of different institutions and learning environments.

    Moodle supports both synchronous and asynchronous learning environments, enabling educators to host live webinars, video conferences, and chat sessions, as well as providing a variety of tools that support self-paced learning, including videos, interactive quizzes, and discussion forums. The platform also integrates with other tools and systems, such as Google Apps and plagiarism detection software, to provide a seamless learning experience.

    Moodle is widely used in educational institutions, including universities, K-12 schools, and corporate training programs. It is well-suited to online and blended learning environments and distance education programs. Additionally, Moodle's accessibility features make it a popular choice for learners with disabilities, ensuring that courses are inclusive and accessible to all learners.

    The Moodle community is an active group of users, developers, and educators who contribute to the platform's development and improvement. The community provides support, resources, and documentation for users, as well as a forum for sharing ideas and best practices. Moodle releases regular updates and improvements, ensuring that the platform remains up-to-date with the latest technologies and best practices.

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Available courses

AI: Driving Climate Action & Sustainable Growth

AI: Driving Climate Action & Sustainable Growth – Course Summary (300 Words)

This course explores the transformative role of Artificial Intelligence (AI) in addressing climate change and advancing sustainable development. It provides a comprehensive understanding of how AI-driven technologies can support environmental monitoring, climate mitigation, adaptation strategies, and sustainable economic growth. Designed for students, researchers, policymakers, and professionals, the course bridges the gap between technological innovation and environmental responsibility.

Participants will gain foundational knowledge of climate science and global sustainability frameworks, including the United Nations Sustainable Development Goals (SDGs) and the Intergovernmental Panel on Climate Change assessment perspectives. The course then introduces core AI concepts—such as machine learning, data analytics, remote sensing, predictive modeling, and intelligent automation—and demonstrates their practical applications in climate action.

Key areas include AI for carbon emission tracking, renewable energy optimization, climate risk forecasting, smart agriculture, biodiversity conservation, water resource management, and disaster prediction systems. Learners will examine real-world case studies that showcase how AI supports evidence-based decision-making and enhances environmental resilience. The course also highlights the integration of AI with emerging technologies like IoT, big data, and geospatial systems to accelerate green innovation.

Ethical considerations, data governance, environmental justice, and policy implications are emphasized to ensure responsible and inclusive AI deployment. Participants will critically analyze challenges such as algorithmic bias, energy consumption of AI systems, and digital inequality in sustainability transitions.

By the end of the course, learners will be equipped with practical insights, analytical skills, and strategic perspectives to leverage AI for climate solutions. They will be prepared to contribute to climate-smart initiatives, sustainable business models, and policy frameworks that promote long-term environmental stewardship and green economic growth.

Introductory vedio of Mooc