Tag: UF training

Popular Practicum AI Series Now Available to Everyone

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UF Information Technology (UFIT) is making its popular Practicum AI beginner series of courses available online through UF Professional and Workforce Development. The series is available to anyone interested in learning the fundamentals of artificial intelligence, including UF alumni and members of the public that want to understand and apply AI tools. Developed to introduce a broad audience to hands-on applied artificial intelligence applications, the Practicum AI series assumes no prior knowledge of coding or AI, and is a great introduction for professionals in any field where AI can be applied. The beginner series has four courses:

1. Getting Started with AI: An introduction to AI, AI models and their development, and AI ethics. 

2. Computing For AI: An introduction to the computational tools used in AI: Git and GitHub.com and Jupyter Notebooks. Participants will use these tools on either a high-performance computer system or in Google Colab. 

3. Python for AI: An introduction to Python programming and data science tools used in AI. This class focuses on the core aspects needed for applied AI. The course also introduces strategies for working with AI coding assistants to accelerate your skills. 

4. Deep Learning Foundations: An introduction to neural networks, deep learning, and how to train AI models using the skills you’ve gained in the previous three courses.

Each course earns a completion badge, and participants who complete all four courses will earn the Practicum AI Beginner Series digital certificate, issued from Credly. The courses are available to anyone at a modest cost — only $20 per class or $50 if purchasing all four at the bundle price. Practicum AI is free for UF faculty and staff (use discount code “ufstaff”) and for students (use discount code “ufstudent”).

With the beginner series of courses now live, UFIT’s Practicum AI team has begun work creating the Intermediate series. The first of these — Computer Vision — will be offered in-person in Summer 2024. Natural Language Processing and Generative AI courses are also in development. For additional information or questions, please contact UFIT’s Research Computing Training Team leader Matt Gitzendanner (magitz@ufl.edu).

Free Training on Administrative and AI Applications

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UF Information Technology (UFIT) offers a robust training calendar that includes instructor-led opportunities and self-paced courses. All UFIT training is free and open to faculty, staff, and students. There are dozens of offerings this semester including the options listed below.

Enhance Your collaboration skills with these instructor-led webinars:

Earn UFIT’s AI Foundations certificate with this anytime, on-demand option:

AI Foundations Certificate Program: Learn different aspects of AI through a series of five courses: Artificial Intelligence in The Workplace, Harnessing AI Tools, AI Image Generators (Self-Paced), and Prompt Engineering: Working with ChatGPT and AI Image Generators.

Become proficient with survey tools for research and administrative use:

Register today and let’s learn together! UFIT can also deliver on-site, custom learning opportunities for a college, department, or unit that has a specific group training need. Email ufit-training@ufl.edu with your inquiry. The training staff are eager to help you more efficiently use campus IT tools and applications.

UFIT Announces Spring Research Computing Training Schedule

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This semester’s Research Computing training schedule is packed with a variety of HiPerGator, Practicum AI workshops free for faculty, lab staff , postdoctoral candidates, and students.

Traditional, single-session Research Computing training options will be held on Thursdays in person and online from 10:40 a.m. – 12:00 p.m. Sessions include Introduction to Research Computing & HiPerGator, SLURM Submission Scripts, and Jupyter Notebook and Managing Conda Environments. A three-day Git and GitHub workshop in March, developed by Drs. Catia Silva and Matt Gitzendanner, will feature hands-on activities with no coding background or prerequisites required.

Practicum AI is returning this Spring with two beginner course series: Deep Learning Foundations and Python for AI. Both training series are intended for participants with limited experience who want to explore using applied AI. All Practicum AI sessions will be available via Zoom or in person at Malachowsky Hall’s NVIDIA Auditorium (room 1000).

Visit https://rc.ufl.edu/calendar/ to view the full training schedule and register for any of the workshops. Anyone with questions about Research Computing training, or who is interested is setting up a custom training for their lab team or a class, is welcome to contact Training Team Lead Dr. Matt Gitzendanner.

Practicum AI Offered This Summer

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The Practicum AI program will be offered this summer, from June 7–July 12. Practicum AI is led by Training and Biocomputing Specialist Dr. Matt Gitzendanner.

Practicum AI is a hands-on, applied AI curriculum developed for participants with a limited coding and math background. Using hands-on exercises and graphically-based, conceptual content, learners without extensive computational skills can begin exploring applied AI. While all sessions will be available via Zoom, registrants are encouraged to attend in person for the best opportunity to learn, interact with instructors and fellow students, and to ask questions. Practicum AI will be held in the UF Informatics Institute. Registration closes May 31. Visit this link to register.

Getting Started with AI │ June 7, 1-5pm
Introduction to artificial intelligence, how it can be applied in diverse disciplines, and some key ethical considerations.
Computing for AI │ June 14, 12:30-5pm
Getting started with the foundational tools used in AI research, including Jupyter Notebooks, Git and GitHub.com, and computer clusters, like HiPerGator.
Python for AI │ July 6 and July 7, 1-5pm
Introduction to the basics of Python programming, which is the predominant language used in AI. The course assumes no prior programming experience. Participants will learn the basics of Python to begin using AI frameworks for AI research.
Deep Learning Foundations (DLF) │ July 10, July 12, and July 13, 2-3:30pm
Introduction to neural networks–how they work and how to train them. Students must attend the July 6-7 Python course to participate in the three-day DLF course.

Medical Imaging for AI Research Inquiries

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UFIT is hosting two MONAI-focused tutorials in July. Both tutorials will be held via Zoom:

Tutorial Name: MONAI Core
Date: Tuesday, July 12, 12:00–1:00 p.m.
Registration Link
Description: MONAI Core is a PyTorch based and GPU-accelerated deep learning framework, specifically designed for medical imaging. This tutorial will cover:
• Why MONAI Core: the unique and impactful features of MONAI Core
• MONAI Core on HiPerGator: end-to-end demo on HiPerGator

Tutorial Name: MONAI Label for Medical Imaging with NVIDIA
Date: Tuesday, July 26, 12:00–1:00 p.m.
Registration Link
Description: MONAI Label is an open-source medical-imaging-specific tool for both AI-assisted annotation and building your own AI annotation models. This tutorial has two parts:
• An in-depth MONAI Label introduction
• A step-by-step demo on HiPerGator

MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. MONAI provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. Anyone with questions about the MONAI tutorials or other training opportunities offered by UFIT Research Computing may contact Dr. Matt Gitzendanner.

Accessibility Tools and Training for Campus

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UFIT provides numerous services to enable compliance with the Americans with Disabilities Act as well as all other applicable federal and state regulations. Among the available services are
Site Improve access, which checks current website content for accessibility issues, and the SensusAccess document conversion tool. UFIT also has two web and content accessibility training opportunities:

Accessibility Basics, an easy to follow, free, online self-paced video course is designed for staff. The Accessibility Basics training takes approximately two hours and provides instruction on how to create accessible documents (e.g., Word, images, .PDFs) and website content.

Accessibility Fundamentals, created for an instructor audience, is also a free, self-paced online training. Accessibility Fundamentals shows how to design accessible online course materials. The course covers different types of accessibility needs and suggestions for making an online course more accessible.

UFIT is here to help instructors and staff who post online content!  Visit UFIT’s digital standards and website recommendations page for additional compliance tips and resources.

Develop Competencies with Practicum AI

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Registration is now open for the first-ever offering of Practicum AI. The program runs Sept. 7 through Nov. 30.

Practicum AI is comprised of hands-on learning experiences designed to teach the coding skills and conceptual AI understanding needed to apply AI methods. The Practicum AI consists of a core set of modules as well as specializations in particular types of AI methods. UFIT is offering the first iteration of Practicum AI face-to-face, with the inaugural participants helping to guide and refine the program for future offerings. Anyone considering applying should note that additional work outside of class time is required to prepare and complete the exercises. For the fall 2021 program, Practicum AI participants are expected to have basic proficiency in Python.

Practicum AI enrollment is limited to 25 participants. The Sept. 7 introductory presentation, held via Zoom, is open to everyone. After the introductory presentation, remaining sessions will be on Zoom as well in person in the UF Informatics Institute seminar room on Tuesdays from 10:40 a.m. to noon. For more information, contact Research Computing Training Team Lead Matt Gitzendanner.