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Intrusion Detection in the Cloud
children on computer

Intrusion Detection in the Cloud

$495.00

Registration is OPEN!

AGE GROUPS: 8-10, 11-13, 14-17
START DATE: June 1, 2020
DURATION: 12 weeks
LIVE CLASSES: 2 hours a week

Develop an object recognition system that can detect intruders in the Cloud.

Explorers will build their own cloud-based object recognition system on a Raspberry Pi that will be able to detect intruders and set off an alarm. They will learn the basics of working with Linux and how to manage, install, and secure a Raspbian system. The project begins with Explorers installing and setting up all the networking tools needed to maintain and secure a Raspberry Pi online. Explorers will also learn the basics of remote networking and how to connect to a remote device using SSH.

The Explorers will work in Python to develop a program that uses sensors attached to a Raspberry Pi to detect movement and analyze this input to detect possible intrudors or unwanted access. They will also build a notification system using an e-mailing service that will notify them about the intrusion.

Class Mentor:

John launched his IT career in consulting, where he implemented and maintained end-to-end IT Virtualization and Enterprise solutions for the SMB sector. John has additional experience managing a virtual data center that hosts a great array of web applications and as a cloud system engineer for an anti-virus company. He enjoys continuous learning and teaching others from his experiences in his 12+ year career.

John

John

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Learn more how Students master Teamwork and Leadership skills in Nobel Explorers.

ENROLL IN PROJECT:

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Secure your spot with a $195 deposit, pay the rest later.
You will receive an invoice for the remaining balance to be paid 2 weeks before the beginning of the project.
You'll be able to apply your F&F coupon code on the next "Your Cart" step

SKU: N/A Category: Computer Science
  • Reviews:

Description


Speaking as a teacher – boy do I wish this is how we did STEM instruction in my school. 5*

Antonia W.

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