Search

As a current professional, you must have a clear and realistic understanding of the risks, rewards and pitfalls that typically come with the integration of AI into an organization. To outpace your colleagues, go beyond a general awareness of AI and be better prepared...

Exclusive – Foundations of Deep Learning with PyTorch: From Tensors to Real-World Models is a hands-on, immersive course designed to help learners build a solid understanding of deep learning through the lens of PyTorch. Whether you're a software engineer, data scientist, or asp...

Exclusive – MLOps Fundamentals is a comprehensive guide to the principles, components, and tools used in Machine Learning Operations (MLOps). It provides a thorough understanding of the machine learning lifecycle, MLOps lifecycle, and the benefits and tools involved, such as MLF...

Gain a baseline understanding of the core concepts, tools, and roles in Data Science.

Exclusive – Artificial intelligence is no longer a distant frontier—it’s a present-day imperative for organizations seeking to remain competitive, innovative, and resilient. Yet, successful AI adoption isn’t just about deploying technology; it requires a deliberate, phased appro...

The AI Security Deep Dive is a comprehensive three-day intensive course designed for programmers, security analysts, and cybersecurity professionals who need to understand and defend against the unique security challenges posed by artificial intelligence and machine...

Prepping data sets for machine learning and thinking about results

New – Learn core Python data science skills for data analytics actions.

Learn about machine learning algorithms leveraging Python.

Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use...