Artificial Intelligence Boot Camp

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Artificial Intelligence Boot Camp

The Artificial Intelligence (AI) Boot Camp is a unique, forward-thinking product, where learners will develop the skills needed to step into the new and exciting world of AI. Throughout the program, students will get practical, hands-on learning to empower them to develop the skills and processes needed to enhance their AI job prospects, including 3 projects where students will build and develop new skills while building a portfolio of example work. The program is rigorous, fast-paced, and focused on the practical, technical skills needed to solve data, machine learning, and artificial intelligence problems. Throughout the course, students will gain proficiency in numerous marketable technologies, including Python, Unsupervised and Supervised Machine Learning, Natural Language Processing, Transformers, Artificial Intelligence, and more. Students will leave with an impressive professional portfolio and the confidence to succeed in today’s data-driven economy.

The AI Boot Camp is a 24-week, part-time online program that gives students the knowledge and skills to conduct robust analytics on a host of real-world problems. Whether they are employed or are a full-time student, the boot camp is designed to fit into their lives, with convenient evening sessions.

By the end of the course, you will be able to:


  1. Employ statistical models to predict and forecast trends.
  2. Create Python-based scripts to automate the cleanup, restructuring, and rendering of large, heterogeneous datasets.
  3. Interact with APIs using Python Requests and JSON parsing techniques.
  4. Create in-depth graphs, charts, and tables utilizing a wide-variety of data-driven programming languages and libraries.
  5. Apply machine learning techniques to gain knowledge and solve problems.
  6. Use unsupervised machine learning models to categorize unlabeled data.
  7. Use supervised machine learning models trained on labeled data to make predictions about data.
  8. Evaluate and improve the performance of machine learning models by using test data, metrics, and optimization techniques.
  9. Use neural networks and deep learning models to make predictions about data.
  10. Determine the sentiment of vector-encoded text using NLP and transformers.
  11. Describe recent innovations in AI and their impact on the field of AI Curriculum.

Part-Time Beginning February 12, 2024



No previous experience in data or programming is required, however, it is recommended that applicants hold a Bachelor’s degree and/or two years of work experience in business, finance, statistics, management, or a related field. Pre-work will include an optional “Math for Machine Learning” edX course.


A $500 discount is available for Ohio State alumni and a 20% discount is offered to military veterans.

This non-credit program is offered through a partnership with the Department of Computer Science and Engineering at The Ohio State University and edX.