All courses
Robert MonarchDeepLearning.AI
In this specialization, you will master a step-by-step framework for developing AI projects. You will analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management. Through real-world case studies, you will explore public health, climate change, and disaster management, and develop practical skills to make a positive impact using AI.
Pascal JolyMaven
In this course, you will delve into the environmental impact of AI applications and learn how to architect and design sustainable AI solutions. Explore best practices for optimizing AI workloads, reducing energy consumption, and demonstrating ROI to management. Engage with real-life case studies and industry trends to understand how leaders implement sustainable AI practices.
Nikita NamjoshiDeepLearning.AI
In this course, you will learn to retrieve real-time data on global energy mixes and carbon intensity from the ElectricityMaps API. You'll identify power grids that produce electricity from low-carbon sources and run machine learning training jobs using low-carbon electricity. The course will also cover analyzing the carbon footprint of Google Cloud usage data and using the Google Cloud Carbon Footprint tool. By the end, you'll be equipped to make more sustainable decisions in your development processes.
Rafael AchondoSkills4Impact
El Sustainability Accelerator permite a los participantes adquirir una visión práctica y estratégica de la sostenibilidad corporativa, desarrollando las habilidades necesarias para integrar criterios ESG en la toma de decisiones, diseñar e implementar iniciativas de impacto y liderar procesos de cambio dentro de las organizaciones. A lo largo del programa, los participantes aprenden a conectar sostenibilidad y negocio, trabajar con marcos y herramientas clave, y fortalecer su perfil profesional mediante casos reales, acompañamiento experto y aplicación directa a su contexto laboral.
Pascal JolyMaven
In this course, you will delve into the environmental impact of AI applications and learn how to architect and design sustainable AI solutions. Explore best practices for optimizing AI workloads, reducing energy consumption, and demonstrating ROI to management. Engage with real-life case studies and industry trends to understand how leaders implement sustainable AI practices.
Nikita NamjoshiDeepLearning.AI
In this course, you will learn to retrieve real-time data on global energy mixes and carbon intensity from the ElectricityMaps API. You'll identify power grids that produce electricity from low-carbon sources and run machine learning training jobs using low-carbon electricity. The course will also cover analyzing the carbon footprint of Google Cloud usage data and using the Google Cloud Carbon Footprint tool. By the end, you'll be equipped to make more sustainable decisions in your development processes.
Robert MonarchDeepLearning.AI
In this specialization, you will master a step-by-step framework for developing AI projects. You will analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management. Through real-world case studies, you will explore public health, climate change, and disaster management, and develop practical skills to make a positive impact using AI.
Silvia MuñozTUV SUD Academy
This course offers a deep dive into environmental sustainability, covering essential topics such as sustainability strategy aligned with SDGs, carbon and water footprint management, and the transition to a circular economy. Participants will learn to develop and implement effective sustainability policies, manage natural capital, and produce comprehensive sustainability reports. The program is designed to enhance your professional capabilities, opening doors to leadership roles in sustainability.
