The Machine Learning and AI MicroBootCamp from the University of Kansas is a 8-to-10-week, part-time program. This self-paced course gives you the specialized experience you need to develop expert-level artificial intelligence and machine learning skills to bring your organization into the future.

This hands-on intensive program is for experienced professionals who are familiar with Python. The MicroBootCamp combines convenient online lessons and application practice with unparalleled support: Learners have access to 24/7 on-demand assistance, attend live weekly office hours to interact with industry experts, get to connect with a network of trainers and peers, and receive access to career resources.

The program is rigorous, fast paced, and covers expert-level AI skills. Students gain in-demand skills and work toward a portfolio of real-world AI projects to showcase to future employers. Those who successfully complete the program receive a Certificate of Completion in Machine Learning & AI from University of Kansas Jayhawk Global. 

In the Machine Learning and AI MicroBootCamp, you will:

• Complete eight modules and learn advanced skills in machine learning and AI.
• Explore how advances in technology are split between narrow and general AI.
• Identify the relationships, hidden patterns, and structure within data.
• Understand how supervised and unsupervised learning differ from one another while training AI models.
• Classify complex data into linear and nonlinear data.
• Optimize machine learning through hyperparameters, preprocessing, and testing multiple modules.
• Discover neural networks and how they relate to deep learning.
• Practice tasks that include natural language processing, transformers, and tokenization.
• Cover emerging topics in cutting-edge AI research and technologies.

By the end of this MicroBootCamp, you will be able to:

• Summarize the current use of AI, its future applications, and its recent innovations. 
• Evaluate machine learning models through test data and metrics.
• Apply machine learning techniques to solve problems and gain knowledge.
• Use unsupervised machine learning models to categorize unlabeled data.
• Use supervised machine learning models trained on labeled data to make predictions.
• Improve the performance of machine learning models through optimization techniques.
• Explain neural networks and deep learning models.
• Use neural networks and deep learning models to make predictions about data.
• Use natural language processing and transformers to determine the sentiment of vector-coded text.

Visit the KU Machine Learning and AI MicroBootCamp Information Website to fill out the application and start the registration process to reserve your spot today.

Program Accessibility

Individuals with disabilities are encouraged to participate in University of Kansas sponsored educational offerings. If you require a reasonable accommodation in order to participate in one of our boot camps, please call 913-871-7981 at least four weeks before the first day of class.

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