Stanford Online

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

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)

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

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)

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!

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

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

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

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

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