Green Technology & Sustainable Computing is an environmentally-conscious and innovation-driven course that explores how technology can be designed, deployed, and managed to reduce environmental impact while promoting sustainability, energy efficiency, and long-term ecological balance. The course begins by defining green computing and sustainability in the context of the IT industry, highlighting the growing carbon footprint of data centers, cloud infrastructure, electronics manufacturing, and e-waste. Learners explore the life cycle of computing hardware—from raw material extraction and energy-intensive chip fabrication to usage, maintenance, and eventual disposal—while evaluating sustainability metrics such as energy usage effectiveness (EUE), carbon usage effectiveness (CUE), and power usage effectiveness (PUE). The course covers best practices for designing energy-efficient systems, including low-power processors, solid-state storage, dynamic voltage scaling, and optimized cooling systems. Learners analyze how hyperscale data centers are adopting renewable energy sources such as solar, wind, and hydroelectric power and implementing heat reuse systems, liquid cooling, and AI-powered workload management to maximize efficiency. Virtualization, server consolidation, and cloud-native architectures are studied as strategies to reduce physical hardware dependence. Students learn how to build sustainable software by writing code that is optimized for performance, reduces compute cycles, and avoids unnecessary processing. Green software development practices, including efficient algorithms, minimalistic UI design, energy-aware programming, and lean data structures, are demonstrated in hands-on exercises. The course introduces the concept of carbon-aware computing, where workloads are scheduled based on the availability of clean energy sources or carbon intensity data from the grid. Learners also explore sustainable product design and procurement practices, including eco-labels (like Energy Star and EPEAT), circular economy models, and modular hardware that supports repairability, upgradability, and recycling. E-waste management is addressed through reverse logistics, responsible recycling channels, and extended producer responsibility (EPR). The curriculum explores global regulations and frameworks like the European Union’s Green Deal, ESG (Environmental, Social, Governance) reporting, the UN’s Sustainable Development Goals (SDGs), and how IT departments can align with sustainability initiatives. Learners analyze case studies of companies like Google, Microsoft, and Apple, which have committed to becoming carbon negative, water positive, or e-waste neutral, and explore the strategies and technologies they use to achieve these goals. Sustainability in software development pipelines is discussed, including the energy consumption of CI/CD systems, testing environments, and redundant builds. Learners implement green DevOps techniques and carbon tracking tools to monitor and optimize software delivery processes. Additional focus is placed on sustainable AI and ML practices, where learners explore how large model training contributes to emissions and how model pruning, federated learning, and efficient training algorithms can mitigate impact. The course encourages participants to develop a sustainability roadmap for their own organizations, conduct IT energy audits, and assess the environmental impact of digital transformation projects. By the end of the course, learners will have a deep understanding of sustainable computing principles, tools for measuring and managing carbon impact, and the ability to design green IT strategies that balance innovation with ecological responsibility. This course is ideal for IT managers, software developers, infrastructure engineers, sustainability officers, and tech leaders who aim to align their digital strategies with environmental stewardship.