Are you passionate about #health and #medicine but unsure of the right educational path? Whether you're looking to quickly upskill, pursue professional development, or dive deep into graduate education, Stanford Online has something tailored just for you. Take a moment to browse through the options in the images below to find the program that best fits your needs. Plus, watch on-demand our recent info session with the Stanford Center for Health Education program managers to get an insider's view of what each program offers! Watch now ➡ https://lnkd.in/gux7Zd2Y
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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. https://online.stanford.edu/ 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 Center for Professional Development (SCPD), the global and online education unit within Stanford Engineering. SCPD works closely with Engineering departments, programs, and centers to design and deliver engaging, high quality online, in-person, and blended learning experiences to both matriculated students and a worldwide audience of learners. SCPD collaborates with many Stanford schools & centers to expand university-wide offerings available online.
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Ready to dive into #AI? This course is the perfect place to start! In this rigorous, graduate-level course you will: ✅ Gain a broad overview of the core principles and cutting-edge techniques that power today’s AI innovations. ✅ Learn how machines can engage in problem-solving, reasoning, learning, and interaction as you design, test, and implement algorithms. By the end of the 10-week course, you'll have the confidence and skills to analyze and solve AI problems you encounter in your career. Get more info 👉 https://lnkd.in/gq6UzxK Percy Liang Dorsa Sadigh Stanford Institute for Human-Centered Artificial Intelligence (HAI) Stanford Artificial Intelligence Laboratory (SAIL)
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Stanford Online instructor Aditya Challapally shares his findings on customer sentiment around chatbots. Spoiler: Users hate chatbots. Don’t let myths mislead your #AI strategy—find the real opportunities. Learn how in Aditya's online course: https://lnkd.in/gGMwZy2w
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Master the tech that's driving the AI transformation! Our Natural Language Understanding course starts 8/26 and runs 10 weeks. ✅ Build neural info retrieval systems using large language models. ✅ Understand semantic and syntactic relationships between words using contextual word representation models (transformers, BERT, ELECTRA, GPT). ✅ Develop original systems and algorithms for machine learning understanding of human language. ✅ Conduct an NLU research project of your choosing. Enroll now ➡ https://lnkd.in/gDYw-W5t Stanford Artificial Intelligence Laboratory (SAIL) Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Natural Language Understanding | Course | Stanford Online
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We are thrilled to see the impact our new course, Mastering Generative AI for Product Innovation, is already making, empowering professionals to navigate the evolving landscape of #GenAI with confidence. Congratulations, Nishit Doshi, PhD, we can't wait to see how you apply these learnings in your journey!
Just completed the Mastering Generative AI for Product Innovation course at Stanford Engineering! Thanks to Aditya Challapally and Edison Tse for such a comprehensive course covering Corporate strategy for GenAI, Opportunity prioritization, Product design, and Build. While the course offers many useful frameworks and hands-on exercises, I am sharing a few insights that stood out: 1) Prioritize Customer-Facing Products over Internal Use Cases: Instead of focusing solely on internal use cases like document generation, shift attention to enhancing the customer experience of your products to capture more value 2) Avoid Starting with a Chatbot: Chatbots may seem easy to get started but are difficult to get right because of free-flowing text inputs. A better approach is to begin with direct product integration using predefined prompts 3) Differentiate by Customizing Models: Start with off-the-shelf (closed source preferred like GPT4) hosted on public cloud, but differentiation comes from fine-tuning models (open source preferred like Mistral or Llama) with domain and organization-specific data to enable high-knowledge use cases 4) Low-Stakes Implementation: Rather than delivering insights directly to end users, focus on empowering experts. For instance, help financial advisors or nutritionists create personalized plans. Then improve your models with feedback loop 5) Embrace New Business Models: The cost of GenAI scales with every user interaction, marking a significant shift from traditional SaaS. This requires new business and pricing models, such as usage or outcomes-based pricing Feel free to reach out to learn more about my experience and how this course can benefit you #AI #GenAI #Health #ContinuousLearning
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Stanford Online instructor Aditya Challapally shares his findings on using #GenAI for content creation v. content consumption. Don’t let myths mislead your AI strategy—find the real opportunities. Learn how in Aditya's online course: https://lnkd.in/gGMwZy2w
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How can we use generative AI to shape the future of work? Arvind Karunakaran will be exploring how technology like ChatGPT, Microsoft 365 co-pilot, and Dall-E are being used for employee skill development. Secure your spot and ask questions live during the webinar happening Tuesday, August 20th: https://lnkd.in/gZ-tWzT3
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Get up to speed on generative AI with our new self-paced program! Explore genAI from technical, business, and societal perspectives, with a focus on improving the human condition. ✅ Cutting-Edge Curriculum: Hear from Stanford experts as they share state-of-the-art research, insights, and industry trends and applications. ✅ Holistic Approach: Delve into technical aspects, real-world applications, and societal implications of generative AI. ✅ Human-Centered Focus: Examine ethical implications, fairness, privacy, safety, and the importance of human-centric design of AI applications. Program developed in collaboration with Stanford Institute for Human-Centered Artificial Intelligence (HAI) More info ➡ https://lnkd.in/gAuSi4dE
Generative AI: Technology, Business, and Society Program | Program | Stanford Online
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Enrollment is open for our new program: Applications of Machine Learning in Medicine with Stanford Online and Stanford University School of Medicine, led by Dr. Nigam Shah: https://lnkd.in/gGHDjvvQ This program provides a technical overview of data's pivotal role in healthcare machine learning, addressing the structural and analytical aspects of various data types within the medical domain. The content is designed to deepen your understanding of data management and processing challenges, and to develop the practical data skills required for applying machine learning to complex healthcare datasets. Throughout the program, you will work through interactive exercises and case studies, attend live webinars from Stanford faculty and guest speakers, receive ongoing feedback from our course team, and collaborate with your fellow learners. Gain the real-world skills you need to run your own machine learning projects in industry: https://lnkd.in/gGHDjvvQ
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Want to propel your career in AI? Our expert-led, online courses can equip you with the skills to become a leader in the age of #ArtificialIntelligence. Join us for a live info session August 27, and receive useful guidance on applying and enrolling to join our thriving #AI learning community. Save your spot today: https://lnkd.in/g46U7nc2
AI Courses and Programs Info Session
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