Image
Applied Graph Neural Networks (AGNN)
Intermediate Certificate
Graph Neural Networks (GNNs) are at the forefront of AI research and applications, driving innovations in diverse fields such as social network analysis, recommendation systems, drug discovery, biological network modeling, and other complex domains.
The 7-week Applied Graph Neural Networks (AGNN) certificate program provides a comprehensive and hands-on exploration of Graph Neural Networks (GNNs). Designed for professionals and researchers, this program offers in-depth, targeted training in one of the most dynamic and rapidly advancing fields of machine learning, equipping participants with the skills to excel in cutting-edge applications of GNNs.
Designed with you in Mind
Designed with your interests in mind, the Applied Graph Neural Networks Certificate provides practical training to help professionals and researchers master cutting-edge AI technologies and apply GNNs to real-world challenges. Master the skills needed to excel in this cutting-edge area.
- Core Fundamentals of GNNs
Gain a solid foundation in key concepts and architectures, including Graph Convolutional Networks (GCNs), Graph Attention Networks (GATs), and graph autoencoders. - Hands-On Implementation with PyTorch
Develop practical skills in implementing GNNs using PyTorch, one of the leading frameworks for deep learning. - Applications Across Diverse Domains
Explore how GNNs are transforming fields like social network analysis, recommendation systems, biological networks, and drug discovery. - Model Evaluation and Interpretability
Learn advanced techniques for evaluating GNN performance and interpreting model outcomes. - Scalability and Efficiency
Discover strategies for scaling GNNs and optimizing performance on large-scale graph datasets. - Real-World Case Study
Apply your knowledge to solve a real-world problem by designing, implementing, and evaluating a GNN model using PyTorch.
Meet Your Instructor
Mustafa Hajij is an assistant professor at the MSDS program at University of San Francisco. He received his masters in Computer Science, PhD in Mathematics from Louisiana State University and postdoctoral training at the computer science departments at University of South Florida and Ohio State University.
Program Structure
Format: This is a 7-week online program, held one evening per week, typically from 6:00 PM to 9:00 PM. The instructor-led sessions are conducted live via Zoom.
Time Commitment: Expect 5-7 hours per week, including live sessions (3 hours), assignments, and projects.
Recordings: Participants will have access to recorded sessions and resources.
Schedule: Specific dates and times to be announced.
Prerequisites: Participants are expected to be familiar with statistics and Python.
Continuing Education Units: 2
Cost: $1195 - $795 USF Alumni - $295 USF Students
Professional Certificates at the Data Institute
Proven Expertise
Since 2016, the Data Institute at the University of San Francisco has been a leader in delivering top-tier professional certificate programs. Backed by renowned faculty and industry experts, our programs are designed to empower professionals with the knowledge and skills to excel in their fields.
Cutting-Edge Curriculum
Stay ahead of industry trends with courses that focus on the most sought-after topics, including AI, data science, and graph neural networks. Our curriculum is continuously updated to reflect the latest advancements and best practices.
Hands-On Learning
Master practical skills by working on real-world projects, engaging in interactive instruction, and using state-of-the-art tools and techniques trusted by leading professionals.
Data Institute
101 Howard St. Suite 500
San Francisco, CA 94105
San Francisco, CA 94105
Hours
Mon-Fri, 9 a.m. - 5 p.m.