AI+ Sustainability Practitioner™
Reading climate data, tracking emissions, managing resources wisely: AI provides tools that fundamentally change how sustainability is approached. This course delivers the knowledge to integrate digital methods into ESG strategies, environmental analysis, and reporting processes.
Key topics
- Building data-driven sustainability strategies and ESG frameworks.
- Applying machine learning to analyse environmental impact and emissions.
- Using automated assessment methods for sustainability key performance indicators.
- Optimising energy and production processes through AI systems.
- Integrating AI methods into climate, environmental, and reporting infrastructure.
Prerequisite
Knowledge of digital technologies, data work, or sustainability management is helpful – but not required. More important is a willingness to approach complex relationships analytically.
Target group
Anyone looking to apply AI specifically to climate action, ESG reporting, or environmental management: from consulting, technology development, sustainability departments, and leadership teams.
Combining AI with sustainability thinking creates a clear advantage – for measurable environmental action, credible reporting, and future-proof decisions.
- Overview of AI and its fields of application.
- Foundations and goals of sustainable development.
- Current challenges for climate and the environment.
- How AI addresses environmental and climate problems.
- Case study: AI models for climate forecasting.
- Practice: Visualising global CO₂ emission trends with GPT-4.
- Foundations of machine learning for environmental applications.
- Supervised learning to assess environmental impact.
- Unsupervised learning for patterns in ecosystem data.
- Reinforcement learning for sustainable control systems.
- Green AI: ecologically efficient AI models.
- Practical exercises.
- AI in climate modelling and forecasting.
- Managing the integration of renewable energies.
- Measuring and reducing carbon footprint.
- Case study: Optimising wind turbine operation with AI.
- Practical exercises.
- AI-supported control of energy consumption.
- Integrating renewable energy sources into existing systems.
- AI for energy storage and efficiency gains.
- Case study: Smart grids – optimising energy distribution with AI.
- Practice: Managing load balancing in smart grids.
- Resource efficiency through data-driven farming.
- Pest and disease detection with AI.
- Decision support for sustainable cultivation systems.
- Case study: AI in precision agriculture.
- Practice: Predicting crop yields with machine learning.
- AI-supported waste separation and sorting.
- Generating energy from waste streams with AI.
- Resource recovery in the circular economy model.
- Case study: AI for automated recycling.
- Practice: Building a waste sorter with AI.
- Remote sensing and satellite analysis for environmental monitoring.
- Tracking and protecting wildlife with AI.
- Continuous monitoring of ecosystem health.
- Case study: Detecting deforestation with AI.
- Practice: Identifying cleared areas from satellite imagery.
- Forecasting water consumption and demand with AI.
- Data-driven control of smart irrigation systems.
- Monitoring and analysing water quality.
- Case study: AI for efficient irrigation management.
- Practice: Optimising irrigation systems with AI.
- AI in smart city infrastructure.
- Sustainable mobility and low-emission urban transport.
- Using AI to manage urban resources more efficiently.
- Case study: Monitoring air quality in cities with AI.
- Practice: Improving traffic flow and reducing emissions with AI-supported traffic management.
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.