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The Ethics of Data, Analytics, and AI
This workshop will cover a range of ethical, privacy, and legal issues that surround data and analytics activities today, as well as what may be expected in the future.
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Data Science and Generative AI: Leveraging Best Practices and Avoiding Pitfalls
This masterclass will teach you about best practices in deploying a data science capability for your organization.
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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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Developing a Graph Mindset to Solve Complex Business Problems
This course will take graph concepts out of the realm of academic theory and show you what they mean in practice. The hands-on exercises won’t require a laptop, just pen and paper and a desire to not just push your thinking, but the very way you think.
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Human-AI Collaboration: The Key to Workplace Innovation
This masterclass will equip you with a framework for evaluating AI's tangible benefits and understanding its impact on workplace dynamics, ensuring responsible and strategic adoption.
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Navigating AI Governance in the Enterprise
In this course, Evan Levy will cover the fundamentals of AI governance including AI risk levels, the core components, real-world use cases, and how organizations have addressed and reduced their risks associated with artificial intelligence.
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AI and Deep Learning: Techniques and Use Cases for Profitable Applications
In this course, Keith McCormick will teach students what deep learning is and how it has become the tool of choice for certain applications. Then the instructor will present a series of examples.
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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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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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Explainable AI: Making Sense of Complex Machine Learning Models with XAI
This half-day session will introduce terms and concepts that can be applied in any setting. The focus will be practical traditional machine learning examples drawn from established industries. Participants will also get to see these concepts applied in some brief examples using a credit scoring data set, but there will not be a hands-on component.
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