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AI Seminars

We offer short training seminars on applied AI methods and LLM workflows that are becoming essential for research, analytics, and data-intensive work across academia and industry.

Cutting-edge. Hands-on. Complete.

Public Seminars

AI Horizons offers public AI and LLM training seminars. We help participants and clients build a strong foundation in LLM workflows (using tools like ChatGPT, Claude, and Gemini), prompting strategies, and AI-assisted approaches that can be applied with confidence in real projects.

Looking for customized training for your organization? See our onsite AI seminar options.

Public Seminars

Each course features small group sizes, top-notch instructors, and extensive hands-on practice. Participants will use their own laptop computers, pre-loaded with relevant software and datasets provided prior to the beginning of the seminar.

Our upcoming seminars are listed below—click a course title for details and registration. All courses are livestreamed via Zoom. Video recordings are available to participants for an additional four weeks after the seminar ends.

Certification pathways are available as well.

Data Visualization Using Stata and LLMs

Use Stata to create effective and attractive data visualizations, while also exploring how large language models (LLMs) can support your workflow.

Instructor: Trenton Mize

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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.

Instructor: Bruce Desmarais

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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.

Instructor: Hudson Golino

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Introduction to AI Tools for Data Analysis: ChatGPT, Claude, and Beyond

June 15-16, 2026

Use ChatGPT and Claude to analyze data, create visualizations, and run statistical models with natural language—while learning best practices and common pitfalls.

Instructor: Boris Nikolaev

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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.

Instructor: Ethan C. Busby

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Using AI to Build Better Experiments

July 14-17, 2026

Design, run, and analyze better experiments with LLMs—creating materials, validating treatments, deploying chatbot studies, and reporting results using AI tools in R.

Instructor: Charles Crabtree

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Multilevel and Mixed Models Using R and LLMs

July 21-24, 2026

In addition to providing a solid foundation in using mixed models in R, this course will also equip you with a set of structured prompts to use with your large language model (LLM) of choice.

Instructor: Stephen Vaisey

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AI Agent-Driven Research Workflows

August 4-7, 2026

Learn simple, structured ways to use multiple AI tools together to reduce low-value work while avoiding hidden errors.

Instructor: Charles Crabtree

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Longitudinal Data Analysis Using R and LLMs

August 11-14, 2026

This course provides a solid foundation in longitudinal data analysis in R while also equipping you with a set of structured prompts to use with your large language model (LLM) of choice.

Instructor: Stephen Vaisey

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AI-Enhanced Audit and Correspondence Experiments

August 18-21, 2026

Learn how to use AI agents in correspondence experiments without compromising identification.

Instructor: Charles Crabtree

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Automatic Item Generation and Validation

August 20-21, 2026

Learn a new way to create and validate questionnaires and scales using AI, specifically large language models (LLMs), and advanced network psychometric techniques.

Instructor: Hudson Golino

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