Gain a core understanding of the management approaches of the future. In this high-impact three-day course, featuring lectures, group exercises, and discussions, you’ll master specialized skills in people analytics, management, and ethics—and emerge ready to lead with impact across your enterprise.
Andrew Lawrie is an analyst studying geometric PDEs. His research focuses on the asymptotic dynamics of solutions to various geometric dispersive equations. These equations often arise as models in mathematical physics, and their study brings together techniques from harmonic analysis, nonlinear analysis, and geometry.
Take a deep dive into the mathematical foundations of AI and machine learning. You’ll explore the math behind not only fundamental models and algorithms, but also recent innovations such as Transformers and Graph Neural Nets—and discover how these concepts relate to Python code and associated applications.
Autonomous robots. Self-driving cars. Smart refrigerators. Now embedded in countless applications, deep learning provides unparalleled accuracy relative to previous AI approaches. Yet, cutting through computational complexity and developing custom hardware to support deep learning can prove challenging for many enterprises—and the cost of getting it wrong can be catastrophic. Do you have the advanced knowledge you need to keep pace in the deep learning revolution?
Over the past eight years, the amount of computing required to run these neural nets has increased over a hundred thousand times, which has become a significant challenge. Gain a deeper understanding of key design considerations for deep learning systems deployed in your hardware.
Fuel your organization’s ability to produce large volumes of highly integrated, complex, customized products by leveraging intelligent design and manufacturing strategies powered by the latest in artificial intelligence. In this highly interactive course, you’ll join a group of accomplished global peers to explore the latest smart manufacturing strategies and hardware, acquire skills to develop machine learning-based design templates, and participate in generative design sessions.
An active area of research, reinforcement learning has already achieved impressive results in solving complex games and a variety of real-world problems. However, organizations that attempt to leverage these strategies often encounter practical industry constraints. In this dynamic course, you will explore the cutting-edge of RL research, and enhance your ability to identify the correct approach for applying advanced frameworks to pressing industry challenges.
Reinforcement learning (RL), is enabling exciting advancements in self-driving vehicles, natural language processing, automated supply chain management, financial investment software, and more. In this three-day course, you will acquire the theoretical frameworks and practical tools you need to use RL to solve big problems for your organization
Artificial Intelligence is revolutionizing industries by automating processes, analyzing vast data sets, and delivering valuable insights. Generative AI, a cutting-edge branch of AI, excels at creating original content—ranging from text and images to music and software code—by identifying patterns in data. As it continues to evolve, generative AI is accelerating innovation and boosting efficiency in sectors such as marketing, healthcare, finance, and entertainment, reshaping the future of business and work.
A steady rise in the application of exponential technologies, primarily artificial intelligence and machine learning, has necessitated a deep understanding of and broad capabilities for driving business growth for business leaders and managers in an evolving global economy. The AI and ML: Leading Business Growth program is a unique opportunity to explore and excel at a global level, with a no-code approach, and the knowledge, tools and best practices needed to drive strategic business growth powered by AI and ML.
El mundo empresarial se enfrenta a nuevos retos y se transforma con la aparición de cada nueva tecnología, pero hay tres objetivos que son invariables en el tiempo para todas las organizaciones. Estos son: