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Course Outline
Introduction to Environmental Modeling with LLMs
- The role of AI in environmental science
- Overview of LLMs and their capabilities in data analysis
- Case studies: LLMs in climate and environmental research
LLMs for Data Analysis and Prediction
- Preprocessing environmental data for LLMs
- Building predictive models for weather and climate patterns
- Assessing the impact of environmental policies with LLMs
LLMs in Conservation and Biodiversity
- Modeling ecosystems and biodiversity with LLMs
- LLMs for tracking and predicting species distribution
- Using LLMs to support conservation planning
LLMs for Environmental Impact and Policy
- Analyzing environmental impact reports with LLMs
- LLMs in policy development and public communication
- Engaging stakeholders with data-driven insights
Hands-on Lab: Environmental Project with LLMs
- Developing an environmental model using LLMs
- Simulating scenarios and analyzing outcomes
- Presenting results to support environmental strategies
Summary and Next Steps
Requirements
- An understanding of environmental science and data analysis
- Experience with Python programming
- Familiarity with statistical modeling and machine learning
Audience
- Environmental scientists and researchers
- Data analysts
- Policy makers and environmental advocates
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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