AWS Certified Security - Specialty (SCS-C02) Cert Prep: 5 Data Protection

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Noah Gift

1:52:56

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01 - Introduction

01 - Domain 5 overview.mp4

00:34

02 - 1. Domain 5 Data Protection

01 - Disaster recovery.mp4

02:48

02 - Managing and protecting data.mp4

02:31

03 - Design for data privacy.mp4

03:00

04 - Design for data retention policy.mp4

02:29

05 - Cloud developer workspace advantage.mp4

04:13

06 - AWS integrated security.mp4

02:00

07 - Building AWS data tools from scratch.mp4

43:10

08 - Python NLP CLI tools.mp4

43:14

09 - Preventing data races with rust compiler.mp4

03:29

10 - Data poisoning.mp4

02:50

11 - Encryption concepts.mp4

01:59

03 - Conclusion

01 - Data protection summary.mp4

00:39

Description

The AWS Certified Security - Specialty (SCS-C02) exam is intended for individuals who currently work in or hope to someday land a cybersecurity role. The exam validates your ability to effectively demonstrate knowledge related to securing the AWS platform. This course, the fifth in a six-part learning path designed to help you prepare for the exam, focuses on data protection. MLOps expert, author, and adjunct professor Noah Gift guides you through the fifth domain of the exam, covering topics like disaster recovery, managing and protecting data, AWS integrated security, Python NLP CLI tools, data poisoning, encryption concepts, and more.

This course was created by Noah Gift. We are pleased to host this training in our library.

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Amazon AWS

Data Protection

Network Security

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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