Mitigating Disasters in ML Pipelines
INTERACTIVE COURSE

Mitigating Disasters in ML Pipelines

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35 Lessons

8h

Certificate of Completion

AI Explanations
AI Explanations
Mitigating Disasters in ML Pipelines
1 Assessment
16 Playgrounds
51 Illustrations

Takeaway Skills

The ability to understand, identify, and fix potential problems with machine learning (ML) pipelines

An understanding of issues in data and model privacy, as well as malicious attacks

A working knowledge of the dangers of large language models (LLMs)

An understanding of how to mitigate risks associated with ML pipelines

Course Overview

The machine learning (ML) pipeline involves a complex relationship between the data, the model, and its implementation—each with its own risks that can adversely affect the utility and profitability of the solution. This course is a primer on what these risks are, where they come from, and how to mitigate them effectively. In this course, you’ll start with a comprehensive look at the data side of the pipeline, including data privacy, data drift, and more. You’ll learn how to mitigate these in theory and pr...Show More

COURSE AUTHOR

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Progress You Can Show

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