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Large language models (LLMs) have become an invaluable tool for today’s researchers and analysts. Yet most of us are not trained in how to use these tools effectively and responsibly. At AI Horizons, our live AI seminars and LLM training teach practical workflows you can apply immediately, including repeatable prompting patterns and reliability checks that help you get better results you can trust.
Advanced Machine Learning and Applied AI Workflows
May 13-15, 2026
Go beyond basic machine learning techniques and deepen your ability to handle complex data challenges while building practical, end-to-end AI workflows.
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LLM Text Generation in R: Practical Prompt Engineering
June 3-4, 2026
Learn techniques for generating text using LLM models in R, with a focus on prompt engineering and API control.
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AI Tools for Data Analysis: From Chatbots to Coworkers
June 15-16, 2026
Explore how to use AI tools and coding agents to clean and analyze data, create visualizations and dashboards, automate workflows, and verify outputs for more reliable, shareable results.
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Using LLMs for Social Science Research
July 7-10, 2026
Learn the fundamentals of large language models (LLMs), like ChatGPT, Claude, Gemini, Deepseek, and Llama, and how to integrate these tools into your own research.
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Passion. Experience. Knowledge.
Learn AI From The Best
Our instructors are recognized experts in the field who actively use LLMs and AI workflows for research and analysis. Most importantly, they are demonstrably excellent instructors who present AI methods in an efficient, stimulating, and easy-to-follow manner to participants from all disciplines and backgrounds.
Faculty-Led. Always Current.
Because the AI landscape changes so rapidly, all of our seminars are delivered live via Zoom, not pre-recorded, giving you the advantage of current content, dynamic instruction, and interactive Q&A. Whether you’re integrating AI into an existing workflow or building new capabilities from scratch, our courses are designed to be practical, immediately usable, and grounded in real-world applications.
Stay Informed
Our Latest News
New
Machine Collaborators Series
Charles Crabtree’s free bi-weekly AI conversation series continues with Alexis Palmer’s “Silicon Sampling Under Different Sources of Uncertainty” on Thursday, May 14.
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Featured Seminar
AI Tools for Data Analysis: From Chatbots to Coworkers
Join Boris Nikolaev, June 15-16, to learn how to use AI tools and coding agents to clean and analyze data, create visualizations, automate workflows, and verify outputs.
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New Blog Post
How AI Can Help You Build Better Experiments
In his new blog post, Charles Crabtree explains why LLMs are becoming important tools for experimental research—and why validation, documentation, and human review still matter.
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New Seminar
Claude-Powered Academic Research: From Ideation to Publication
Join Jeffrey Dotson, July 21-24, to learn how to use Claude as a systematic research partner for ideation, data collection, analysis, reproducibility, and publication-ready academic writing.