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This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this cours...

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...

Prepping data sets for machine learning and thinking about results

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

Learn about machine learning algorithms leveraging Python.

This course begins by building a simple RAG pipeline using the NVIDIA API catalog. Participants will deploy and test individual components in a local environment using Docker Compose. Once familiar with the basics, the focus will shift to deploying NIMs, such as LLM,...

The future of project management lies at the intersection of human creativity and technological leverage. Our AI for Project Management course is an immersive and interactive journey to prepare experienced project management professionals for the AI-empowered future....

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

Implementing Big Data & Artificial Intelligence (AI) for Business Professionals is an introductory-level course that delves into the core AI and how AI can be practically exploited in the modern business sense.  This one-day class explores the possibilities that...

Agents powered by large language models (LLMs) are quickly gaining popularity as people are finding new capabilities and opportunities to greatly improve their productivity. An especially powerful recent development has been the popularization of retrieval-based LLM...