Advanced
35 Lessons
8h
Certificate of Completion
AI-POWERED
AI-POWERED
This course includes
This course includes
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
TAKEAWAY SKILLS
Machine Learning
Data Science
Data Pipeline Engineering
Natural Language Processing
What You'll Learn
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
What You'll Learn
The ability to understand, identify, and fix potential problems with machine learning (ML) pipelines
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Course Content
Introduction
Disasters in Data
Disasters in Models
Alternatives to Traditional ML
Conclusion
Assessment: Disasters in ML Pipelines
Assessment
Course Author
Trusted by 1.4 million developers working at companies
Anthony Walker
@_webarchitect_
Emma Bostian 🐞
@EmmaBostian
Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Anthony Walker
@_webarchitect_
Emma Bostian 🐞
@EmmaBostian
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