SVIEF AI Tech Training Camp aims to provide career guidance and technical skill training for engineers to transition their skills or even transition their careers to stay current and competitive in the era of Artificial Intelligence. It also provides an educational platform for people to bring technology tools such as machine learning into their daily management tasks.
The info session features an AI Talk presented by Dr. Zack Ling, Senior Scientist of IBM Almaden Research Center and a comprehensive introduction and announcement of the AI Training Spring Semester Syllabus as well as direction to sign up for the course. (All attendees to the info session will receive a 20% off discount code at door.)
The Spring Semester course offers four 2-day workshops that are designed to incorporate 4 vertical AI tracks including TensorFlow, NLP, Machine Learning and Computer Vision* as well as complimentary On-demand Topic and Career & Resume Workshop. On-demand topic will cover topics outside of the four pre-designed tracks such as Face Recognition, Predicative Analysis, etc. Students can also schedule one-on-one resume workshop with our mentor after each class.
Students start from learning basic concepts and then advance to intermediate and advanced level that covers coding workshop and practical case study.
*AI Tracks may subject to change. Final syllabus will be announced at info session.
Spring Semester Syllabus (Preliminary)
March 14th: Info Session Status of AI Development April: Seminar 1 Tensor Flow Basic Machine Learning Basic NLP Basic Computer Vision Basic Topic on Demand Career Workshop April: Seminar 2 Tensor Flow Intermediary Machine Learning Intermediary NLP Intermediary Computer Vision Intermediary Topic on Demand Career Workshop May: Seminar 3 Tensor Flow Advance Machine Learning Advance NLP Advance Computer Vision Advance Topic on Demand Career Workshop May: Seminar 4 Tensor Flow Application Practice Machine Learning Application Practice NLP Advance Application Practice Computer Vision Application Practice Topic on Demand Career Workshop
Yifeng Lu Staff Engineer, Manager of Google Brain Team, Google Yifeng Lu, Staff Engineer and manager of Google Brain team, engineering lead of Brain AutoML team, focusing on AutoML research and product landing. Lead and design Google's first AutoML product: Cloud AutoML Vision. Lead and design Google's large-scale machine learning based Gmail classification and structured data extraction platform. Also worked for Microsoft and Tencent for 5 years before join Google.
Dr. Zack Ling Senior Scientist, IBM Almaden Research Center Dr. Zack Ling is a Senior Scientist at IBM Almaden Research Center in San Jose, CA. He has been working at IBM over 20 years, with primary focus on performance evaluation of data storage products and systems. Dr. Ling's current interests are in the areas of Artificial Intelligence applications, Blockchain deployment, Cloud Computing Architecture, Service Science, Internet of Things, and Information Technology Service Management. As an IBM University ambassador and evangelist of IBM corporate culture with many years of expertise on information technology engineering and services, Dr. Ling has not only provided academic lectures locally at Stanford University, University of California at Berkeley, and San Jose State University, but has also taught credited courses overseas and hosted numerous seminars at China's top universities. In recognition of his contributions to the global community, Dr. Ling has continuously received the US President's Volunteer Service Award in past 10+ years.
Xiaojing Dong Head of Marketing Science, LinkedIn Associate Professor of Marketing & Business, University of Santa Clara
Yun Wang ,Research Scientist, Speech Team of Applied Machine Learning Facebook Yun graduated from the Language Technologies Institute (LTI) of Carnegie Mellon University (CMU) in October 2018. He specializes in speech technologies and deep learning, and has participated in research on many topics such as speaker recognition, keyword spotting, and sound event detection. He is now a research scientist in the Speech team of Applied Machine Learning at Facebook.