Now streaming on demand, Creating Fair, Useful, and Reliable AI in Healthcare with Dr. Nigam Shah! Register here to watch: https://lnkd.in/dydnTDYP Brought to you by Stanford Online and the Stanford Center for Health Education.
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You can gain access to a world of education through Stanford Online, the Stanford School of Engineering’s portal for academic and professional education offered by schools and units throughout Stanford University. Our robust catalog of degree programs, credit-bearing education, professional certificate programs, and free and open content is developed by Stanford faculty, enabling you to expand your knowledge, advance your career, and enhance your life. Stanford Online is operated and managed by the Stanford Engineering Center for Global & Online Education (CGOE). CGOE expands access to Stanford teaching and research, working in collaboration with faculty in the School of Engineering and throughout Stanford University to design and deliver extensive global, online, and enterprise education to a global audience.
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https://online.stanford.edu/
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Stanford Online员工
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Lee Howard
Product Manager, Writer, Facilitator. I build, delight, and grow.
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Saikat (Sy) M.
Certified ServiceNow Admin & Developer (CSA, CAD) | Certified Scrum Product Owner (CSPO) | Passionate about Data
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Alexis Pribula
Student
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Urba Mandrekar
Design Strategist & User Researcher | Crafting Human-Centered Solutions with Data-Driven Insights
动态
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Congratulations to Alexander Erfurt for earning the Stanford Professional Certificate?in Artificial Intelligence! Staying up to speed in this incredibly dynamic field requires a commitment to lifelong learning and you deserve to be proud of this accomplishment! More info about the program ?? https://lnkd.in/gGx9Q7NE
Sr. AI/ML Customer Engineer | GenAI, Deep Learning | Stanford AI Professional Program | Public Speaker
It’s done, achievement unlocked so to speak …even though I’d say the journey is the goal itself! ?? After almost 3 years of balancing job, parenthood and studying ?? , I've finally completed the AI Professional Program from the Stanford School of Engineering. This program, covering AI Principles and Techniques and selected courses such as Natural Language Processing with Deep Learning and Deep Generative Models, was a challenging but fun opportunity to refresh the foundations and dive into the latest AI advancements. In fact, I already work in AI and would consider myself an expert, however, this field is quite broad and as by now everyone should have noticed - it’s crazily dynamic! There is just so much you might not know about yet.?For instance, the course on generative models shows there are not only auto-regressive models (such as most LLMs), but also flow- and energy-based models, latent variable models (e.g. VAEs), and implicit generative models (e.g. GANs). Yet we haven’t even looked into techniques for training & evaluating these models, which focus on likelihood, which are likelihood-free and what are metrics for sample quality etc. Seeing all the different approaches for essentially “understanding” and “simulating” the world, is wild to say the least. I’m a strong believer in life-long and continuous learning. There is always a lot of "we don’t know what we don’t know". And with the rise of transformers and generative AI it's been a pleasure to refresh & deepen important foundations in math and its translation into code lines and algorithms. Moving more knowledge towards the “I know what I know” corner! ?? This hands-on program is not something I necessarily need to do my job, but AI is not just a job for me. It’s a passion that fills a lot of my private interests & life as well, probably the most exciting and promising technology of our lifetime - if not ever! I can’t help but need to understand the "how" behind the magic – how we enable machines to write, paint, compose and simply create? in so many ways. If you are also interested in going deeper and more hands-on in (Gen)AI, I highly recommend this program! Feel free to reach out if you have any questions. Thanks Stanford faculty Percy Liang, Christopher Manning, Stefano Ermon for sharing your expertise in such an engaging way. Not to forget the always helpful and patient program and course facilitators Daud Gill, Petra Parikova, Sebastian Hurubaru, Richard Wang, Farhad Ghassemi to name but a few. You made this an outstanding experience, I learned a lot ..and most importantly, I enjoyed it all the way! ?? On a more personal note, big thanks ?? to my current and former managers who have always been very encouraging and supportive to make time for learning and personal growth: Steven Mc Auley, Alexander Del Toro Barba, Matthias Ingerfeld and Dr. Stefan Ebener. #AI #Stanford #DeepLearning #GenerativeModels #GenAI #LifelongLearning #PersonalGrowth #Google #GoogleCloud
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When our learners are happy, we're happy ??. Congratulations to Krisha Wali for earning your Accelerated Product Management certificate - and thank you for sharing your story with us! Our next Accelerated Product Management class begins on January 29, 2025. Join Krisha and hundreds of other learners who have earned their certificates. ?? https://lnkd.in/gBkzRA47 Plus, if you enroll by December 18, 2024, you'll lock in early registration savings!
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?? Did you miss our session with Professor Christopher Potts on compound AI systems? It's now available to stream on demand! ?? Register here to watch: https://lnkd.in/gz9vgiwe Stanford Artificial Intelligence Laboratory (SAIL) Stanford Institute for Human-Centered Artificial Intelligence (HAI)
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Hear directly from leading experts about the ways generative AI is transforming patient care and shaping the future of medicine. This engaging series, organized by Stanford School of Medicine Professor?Dr. Bryant Lin and sponsored by Stanford University MedMuse, focuses on the latest developments in the medicine and health industries. ?? Learn more and enroll: https://lnkd.in/eGPwwXEd Stanford Center for Health Education
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?? Join us this Wednesday as Professor Christopher Potts discusses how compound AI systems can outperform standalone models. He will also examine what a systems approach means for AI research, product development, safety, and regulation. Register here ? https://lnkd.in/gz9vgiwe Stanford Institute for Human-Centered Artificial Intelligence (HAI) Stanford Artificial Intelligence Laboratory (SAIL) #AI #LLMs
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You have the technical skills to make products and services thrive. Now, how do you communicate your impact, especially to non-tech audiences? Stanford University School of Engineering lecturer Matt Vassar will discuss how to talk about your work in a way that’s accessible, interesting, and memorable. Secure your spot for the webinar happening next week: https://lnkd.in/gD4Rbe_E
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Join Stanford Professor Zakir Durumeric for an insightful exploration of the modern internet. In this webinar, he will discuss: ?? The evolution of the internet over the past several decades ?? The state of the internet today ?? Common misconceptions about the reality of behavior on the internet ?? Security and privacy challenges both current and future Register here: https://lnkd.in/gf56SftT
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Our next online #AI course starts Monday 11/11. Reinforcement Learning is a powerful method for training software to make optimal decisions. This course provides a strong foundation in the main approaches and challenges in the field.? ?? Evaluate problem features to determine if RL is a good fit for specific applications. ?? Develop and implement RL algorithms using techniques like Deep RL, policy-based methods, RL from human feedback (RLHF), and Direct Preference Optimization (DPO)—essential for creating powerful large language models. ?? Uncover optimal strategies in unfamiliar environments through tabular methods like Markov decision processes (MDPs) and Monte Carlo techniques. Enroll ? https://lnkd.in/gM7Diy-7 Emma Brunskill Stanford University Department of Computer Science Stanford Institute for Human-Centered Artificial Intelligence (HAI) Stanford Artificial Intelligence Laboratory (SAIL)
Reinforcement Learning | Course | Stanford Online
online.stanford.edu
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The application of AI in healthcare depends on how accurate the AI model is, the decision-making processes it informs, and how well healthcare professionals can act on the insights provided by AI. Join renowned Stanford professor, Nigam Shah, in this upcoming webinar, where he will walk us through Stanford Health Care’s innovative process for developing fair, useful, and reliable AI models (FURM). Register here to save your spot: https://lnkd.in/dydnTDYP
Webinar: Creating Fair, Useful, and Reliable AI in Healthcare
learn.stanford.edu