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Emerging Technology Training Program

This program covers core knowledge to Artificial Intelligence (AI), Big Data, Cloud Computing,

Business Analytics, and other optional courses

Length: 8 Month
Include: 4 Courses
Semester Units: 12
Time: Weekday Night & Weekend
Cost: $7,200.00
Prerequisites:
Undergraduate
Degree
What You’ll Study

This program will teach the cutting-edge technology in Data Science and Artificial Intelligence. The courses include Statistics and Data Analysis, Business Analytics, Big Data, Machine Learning, Artificial Intelligence, Deep Learning, and Python, etc. These courses will provide a thorough training of the emerging technologies in recent years. Three courses and a capstone project are required to complete the training program. A certificate of the Emerge Technology will be issued upon the successful completion of the training program.

This part covers artificial intelligence (AI) concepts and algorithms, such as searching, logic and reasoning, probability and reasoning, causality and reasoning, learning, and deep learning. We will cover AI applications in speech recognition, web search, face recognition, machine translation, autonomous driving, and automatic scheduling. These are all complex real-world problems, and the goal of artificial intelligence is to tackle these with rigorous mathematical tools to tackle new AI problems you might encounter in life.

learn with the best




 Andreas Ramos

was the head of Global SEO at Cisco, where he used 40 languages in 84 countries. He has managed global SEO and Google Adwords for Harvard and MIT where he used 300,000 keywords in thirty languages. He currently manages SEO and Google Adwords for Stanford. He was the director of the digital agency at Acxiom where he worked with global corporations. He has founded two digital marketing agencies. He has written fourteen books on digital marketing. One book was published in China by Tsinghua University Press. His books have been translated to six languages. He was the technical editor of the leading book on SEO, which was published by IBM Press. He also teaches digital marketing at INSEEC, a leading French business school.







 Daniel Zanger, Ph.D.

has over 20 years of experience in both industry and the federal government, working extensively in the fields of theoretical and applied machine learning, data analysis, optimization, statistical database privacy, cryptology, quantum computing, and others. He has applied techniques from these fields to problems in such areas as text mining, image processing, operations research, and multi-sensor fusion. Dr. Zanger has authored numerous publications in refereed journals and conference proceedings in various technical fields including mathematics (partial differential equations), probability theory, information retrieval, statistical learning theory (applied to finance), operations research, and database privacy. He holds a Ph.D. in Mathematics from the Massachusetts Institute of Technology (MIT) as well as a B.A. (with Highest Honors), also in Mathematics, from the University of California at Berkeley.


 
 
 
 
 
 
 
 
 
 
 Danian Gong

Currently work at CADENCE Design Systems as Sr. Principle Engineer, responsible for developing high performance microprocessor; also serves as adjunct professor in CSTU, where he teaches Artificial intelligence and deep learning.
Study and work Experience:
1996 Graduate from Zhejiang University, Hanzhou,bachelor degree in EE major.
2001 Graduate from Tsinghua University, Beijing, Ph.D and master degree in EE major.
2001-present, R&D management and development in Silicon Valley High Tech companies