AI+ Sustainability™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Sustainability and artificial intelligence are converging to become a decisive success factor for modern organizations. Digital systems enable informed environmental decisions, measurable impact, and new standards for responsible business practices. The focus is on practical orientation, strategic thinking, and technological relevance.

Key topics

AI-supported sustainability strategies and ESG logic.
Data analysis for environmental impact, resources, and emissions.
Automated evaluation of sustainability indicators.
Intelligent systems for energy and process optimization.
Integration of AI into environmental, climate, and reporting structures.

Prerequisite
Basic understanding of digital technologies, data, or sustainability issues. Openness to analytical and systemic thinking.

Target group
Specialists and managers from the fields of sustainability, management, technology, innovation, consulting, and anyone who wants to use AI responsibly in environmental and ESG contexts.

The combination of AI and sustainability opens up new perspectives for effective decision-making, transparent processes, and long-term responsibility. Digital intelligence thus becomes a driver of measurable environmental impact and modern corporate management.

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course content

Introduction to AI and Sustainability

Overview of artificial intelligence.
Introduction to sustainability.
Challenges of sustainability.
AI for the environment.
Case study: AI models for predicting climate change.
Practical application: Visualization of global CO₂ emission trends with GPT-4.

AI techniques for sustainability solutions

Introduction to machine learning for sustainability
Supervised learning for environmental impact
Unsupervised learning for environmental insights.
Reinforcement learning for sustainable systems.
Green AI: Sustainable AI models
Practical exercises

AI to mitigate climate change

AI in climate modeling.
AI for the integration of renewable energies.
Reducing the carbon footprint.
Case study: Optimizing wind turbine operation with AI.
Practical exercises

AI in sustainable energy systems

AI for energy optimization.
Integration of renewable energies.
AI in energy storage and efficiency.
Case study: AI-supported smart grids: Optimizing energy distribution and integrating renewable energies.
Practical exercises: Optimizing load balancing in smart grids.

AI for sustainable agriculture

Precision farming and resource optimization
AI for pest and disease detection.
Sustainable agriculture and decision support systems.
Case study: AI in precision agriculture.
Practical example: Predicting crop yields with machine learning.

AI in waste management and the circular economy

AI for waste sorting and recycling.
AI for solutions for generating energy from waste.
Circular economy and resource recovery.
Case study: AI for waste sorting and recycling.
Practical example: Setting up a waste sorter with AI.

AI for biodiversity conservation and environmental monitoring

AI in remote sensing for environmental monitoring.
Tracking and protecting wildlife.
AI for monitoring the health of ecosystems.
Case study: AI for monitoring deforestation.
Practical application: Detecting deforestation using satellite imagery.

AI for water resource management

AI for predicting water consumption.
AI for smart irrigation systems.
Monitoring and analysis of water quality.
Case study: AI for smart irrigation systems.
Practical example: Optimizing irrigation systems with AI.

AI for sustainable cities and smart urban development

AI in the infrastructure of smart cities.
Sustainable mobility and transportation.
AI for optimizing urban resources.
Case study: AI for monitoring air quality in cities.
Practical example: Optimizing traffic flow and reducing emissions through AI-supported intelligent traffic management.

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What does AI+ Sustainability™ mean?

AI+ Sustainability™ is a course on artificial intelligence (AI) that demonstrates how AI can assist in developing and implementing sustainable solutions to environmental and climate issues.

How can AI promote sustainability?

AI improves energy consumption forecasts, assists with resource management, and optimizes processes to reduce emissions and waste.

What practical tools are used in the course?

Tools such as TensorFlow, PyTorch, Python, climate prediction, AI-supported energy and resource optimization, smart grid software, visualization platforms, and AI for biodiversity are used.

Is AI environmentally friendly or does it consume a lot of energy?

AI can reduce energy consumption, but training large models also requires high computing power and energy. Efficiency and green technology are therefore important.

Who should take AI+ Sustainability™?

The course is suitable for those interested in the environment, data analysts, technology innovators, managers, and anyone who wants to use AI for sustainability solutions.

Can AI help make climate change decisions?