
Applied AI for the Palm Oil Industry
This course introduces participants to the application of Artificial Intelligence (AI) and Large Language Models (LLMs) in the palm oil industry. It covers key AI technologies, such as machine learning, image recognition, and predictive analytics, and explores how these can be applied to optimize crop management, supply chain processes, sustainability practices, and market intelligence in the palm oil sector. Participants will also learn about using LLMs for automating documentation and improving industry transparency and traceability.
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Course Duration:
30 hours
Level:
Beginner to intermediate

Course Objectives
Understand the basics of AI and LLMs and their role in business applications.
Learn how AI can optimize crop monitoring, yield prediction, and farm management in the palm oil industry.
Gain knowledge of LLMs for automating documentation, compliance reporting, and supply chain optimization.
Explore AI applications for improving sustainability and environmental impact tracking in palm oil production.
Develop practical skills for integrating AI tools into real-world palm oil industry challenges.
Prerequisites
Basic understanding of the palm oil industry or agriculture.
Familiarity with fundamental concepts of AI or data analytics (basic knowledge of machine learning or programming is beneficial but not mandatory).
No prior experience with large language models or advanced AI techniques required.
