We designed the following generative AI courses for our customers to keep with AI trend and understand how to use AI in daily job.
| Course Title | Course Outline | Duration | Target Audience | Prerequisites |
| Deep Learning with Pytorch | 1)Python, Panda and PyTorch (3 hour) 2)CNN(1 hour) 3)Transformer and Time Serial data (2 hour) |
6 hours | Anyone in software engineering | 1)Student shall have some experience in Python 2)Laptop for class hands-on practice. 3)Access to google colab |
| Large Language Models | 1) From computer vision to LLM (5 hour) 2) Key concepts, principles, and mechanism of LLM (1 hour) 3) Applications of LLM (3 hour) 4) Lab of training your own LLM (3 hour) |
12 hours | Anyone in software engineering | 1)Student shall have some experience in Python 2)Laptop for class hands-on practice. 3)Access to google colab |
| Advanced Large Model RAG Design and Deployment | 1) Multi-modal RAG (150 minutes) 2) Advanced RAG (210 minutes) 3) Function Call (240 minutes) 4) LLM production and operation (120 minutes) |
12 hours | Anyone in software engineering | 1)Student shall have some experience in Python 2)Laptop for class hands-on practice. 3)Access to google colab |