View all short courses Browse by university Browse by category. Berkeley EECS graduate programs rank first and second in the nation and provide one of the best educational experiences anywhere. In the navigation bar above, you will find the following: A sample course schedule from Spring 2014 You can expect a hands-on approach that builds a bridge between the engineering and technical aspects of AI with the business applications. The Data Science: Bridging Principles and Practice online program gives participants with non-technical backgrounds a foundational understanding of what data science & analytics is all about. His... Pieter Abbeel is a Professor at UC Berkeley’s Electrical Engineering and Computer Sciences school and Director of the Berkeley Robot Learning Lab and co-director of the Berkeley Artificial... Matthew Stepka is Managing Partner of Machina Ventures, an investment firm focused on early stage, artificial intelligence and data science enabled companies. The program is also offered in Spanish.To view the program page in Spanish, please click below. The program represents 25% of the coursework toward a Master's degree in Computer Science at Columbia. Pieter Abbeel 2. Forecasting Machine Learning. Alberto L. Sangiovanni-Vincentelli, 1981. Rea l ity: The truth is far from it. Benjamin Recht 16. Intelligent information systems. Michael Jordan, 2010. ... University of California, Berkeley. S. Shankar Sastry, 2003. John DeNero, 2018. Attend a program with a group of your colleagues and receive a special discounted rate. Stanford University, USA. Filter. Michael Jordan, 2010. Menu Apply Now. Design intelligent agents to solve real-world problems including, search, games, machine … Ren Ng, 2017. Context Modeling. Compare the top artificial intelligence graduate schools in the U.S. Find the top graduate schools offering masters in artificial intelligence degrees and PhD in artificial intelligence programs. ... UC Berkeley Artificial Intelligence Strategy online short course. Michael Lustig 12. To compete in this new tech-driven economy, you must understand how game-changing technologies such as AI can benefit the different business functions in your organization. Advanced Topics in Learning and Decision Making, EE 290P. clear all. Welcome to the STAIR (STructural Artificial Intelligence Research) website! Earn Your Master’s in Data Science Online. In 2016, the global Artificial Intelligence (AI) market grew to $1.4 billion, and by 2025, the global AI market is expected to expand to almost $60 billion, according to TechJury. A group of five University of California, Berkeley master of engineering alumni are finalists in the IBM Call for Code 2019 Global Prize. Collaborative filtering. His research focuses on... Thomas Lee is an Associate Adjunct Professor and Research Scientist in the Haas Operations and Information Technology Management Group at the Haas School of Business. There are active collaborations with several groups on campus, including the campus-wide vision sciences group, the information retrieval group at the I-School and the campus-wide computational biology program. Computer Vision Group Work in Artificial Intelligence in the EECS department at Berkeley involves foundational research in core areas of knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech and language processing. Jitendra Malik, 2011. Learn AI’s current capabilities and applications—and its future potential, Learn how to organize and manage successful AI application projects, Grasp the technical aspects of AI well enough to communicate effectively with technical teams and colleagues, Learn how to avoid pitfalls associated with these new technologies, Build your leadership credibility by obtaining a Certificate of Completion from UC Berkeley Executive Education. Predictive algorithms are now powering brain-computer interfaces (BCIs) that can read signals from the brain and even write in signals if necessary. Deep Learning, Perception, Motion Planning. Joseph Gonzalez 7. Michael Jordan 9. Artificial Intelligence . The Master in Design for Artificial Intelligence trains professionals to lead the design of products and services that can integrate solutions related to artificial intelligence. Nonparametric Bayesian methods. Jerome A. Feldman, 2009. Visual Data Mining. Sergey Levine 11. Problem solving, decisions, and games. Short Course: Artificial Intelligence OVERVIEW: UC Berkeley’s Executive and Professional Education department is working on new innovative and relevant courses to help you and your company to succeed in the high-speed, high tech marketplace of the 21st century. F... Get the latest leadership news and resources in your mailbox every month! National Academy of Sciences (NAS) Member: These technologies can be applied to a number of undertakings to benefit organizations seeking to improve outcomes and productivity. Website Recently, however, artificial intelligence agents have done… During this online journey, you'll connect with Berkeley's faculty, industry leaders, and peers from every corner of the globe. S. Shankar Sastry, 2001. Anca Dragan, 2018. This MicroMasters program from Columbia University will give you a rigorous, advanced, professional, graduate-level foundation in Artificial Intelligence. Expectation: I will be well equipped with the skillsets I need to break into the field of study (Artificial Intelligence). First order probabilistic logics. Custom in-person or online programs tailored to your team’s unique business goals. Yi Ma 13. To earn your certificate you must complete a minimum of 17-program days from our portfolio of online or in-person programs, and have representation from our 4 academic pillars to support your general management executive skillset. Kernel methods. Learn more about UC Berkeley's Online Master of Data Science. Gireeja Ranade 15. Symbolic algebra. St… For more information please see the Berkeley Artificial Intelligence Research Lab (BAIR). Artificial Intelligence Strategy Online Short Course Earn a Certificate from the UC Berkeley I School Artificial intelligence (AI) is the future for many organizations — the near future — and with this exciting innovation in technology comes skepticism and challenges. S. Shankar Sastry, 2018. Daniel Klein 10. 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