FPGA courses can help you learn digital logic design, hardware description languages, and circuit simulation techniques. You can build skills in implementing complex algorithms, optimizing performance, and debugging hardware systems. Many courses introduce tools like VHDL, Verilog, and various FPGA development environments, that support designing and testing your projects. You'll explore key topics such as signal processing, embedded systems, and hardware acceleration, equipping you with practical knowledge for real-world applications.

Skills you'll gain: Generative AI, Model Deployment, Large Language Modeling, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Cloud Deployment, Performance Tuning, Hardware Architecture, Deep Learning, Embedded Systems, Computer Hardware, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language), Programming Principles, Data Structures, Computer Programming Tools, Development Environment, Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Data Structures, Systems Integration, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Field-Programmable Gate Array (FPGA), Natural Language Processing, Technical Communication, Embedded Systems, Embedded Software, Distributed Computing, Recurrent Neural Networks (RNNs), Digital Signal Processing, Probability & Statistics, Generative AI, Machine Learning, Deep Learning, Image Analysis, Convolutional Neural Networks, Hardware Design, Electronic Systems, Text Mining, Student Support and Services, Professional Development, Electrical and Computer Engineering
Earn a degree
Degree · 1 - 4 Years