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AI & Digital Fluency: Preparing Your Data Team for the Future
Digital transformation is creating a world where businesses must test new, exponential strategies such as generative AI while maintaining incremental business functions to stay current.
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Modern Data Warehouse Platforms and Architectures for the Cloud
This course will give you the technical reasons why scaling up is sometimes easy and sometimes very hard—at a level that architects, strategists, and decision makers can understand. You need this understanding to choose the best platform for your cloud data warehouse or workload—and to avoid platform mistakes that can be catastrophic.
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Hands-On Introduction to Customizing Large Language Models (LLMs)
In this hands-on course, you will be provided with the fundamentals to “talk with your data” by understanding and effectively implementing an LLM in an information-retrieval, question-answering use case.
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Strategy and Governance for AI: Planning Sustainable and Responsible AI Solutions
This half-day course will cover the fundamentals of AI strategy development and AI governance, providing participants with a practical framework to implement responsible AI in their organizations.
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Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale
In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics.
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TDWI Data Warehouse Automation: Better, Faster, Cheaper … You Can Have It All
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Data Foundations for AI: Leveraging Real and Synthetic Data to Power AI, Machine Learning, and Generative AI
This course explores the critical role of data in AI and generative AI, focusing on how to create, integrate, curate, manage, and augment data to enhance AI and generative AI model performance.
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FinOps and More: Efficiency Engineering for Cloud Analytics and AI
In this course, students will learn how decisions made at every phase of software development have impacts on the ultimate cost of the solution.
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Hands-On: Data Analysis with Large Language Models (LLMs)
This one-day, hands-on workshop is designed to provide participants with a comprehensive understanding of how to leverage LLMs to enhance their data analysis processes.
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Data Science Bootcamp // Modeling Your Data: Building and Assessing Models
Students will receive an overview of common statistical techniques and algorithms that are used in analytic models, how they are matched to business objectives and available data, and how the models are tuned and validated. The course will also cover key technologies that enable model development and management, and examples will reinforce key concepts.
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