MLSEC-PCYCydrillCY-MLSEC-P1.0<ul> <li>Getting familiar with essential cyber security concepts</li><li>Learning about various aspects of machine learning security</li><li>Attacks and defense techniques in adversarial machine learning</li><li>Input validation approaches and principles</li><li>Identify vulnerabilities and their consequences</li><li>Learn the security best practices in Python</li><li>Managing vulnerabilities in third party components</li><li>Understanding how cryptography supports security</li><li>Learning how to use cryptographic APIs correctly in Python</li></ul><p>Python developers working on machine learning systems</p><ul> <li>Cyber security basics</li><li>Machine learning security</li><li>Input validation</li><li>Security features</li><li>Time and state</li><li>Errors</li><li>Using vulnerable components</li><li>Cryptography for developers</li><li>Wrap up</li></ul>- Getting familiar with essential cyber security concepts - Learning about various aspects of machine learning security - Attacks and defense techniques in adversarial machine learning - Input validation approaches and principles - Identify vulnerabilities and their consequences - Learn the security best practices in Python - Managing vulnerabilities in third party components - Understanding how cryptography supports security - Learning how to use cryptographic APIs correctly in PythonPython developers working on machine learning systems- Cyber security basics - Machine learning security - Input validation - Security features - Time and state - Errors - Using vulnerable components - Cryptography for developers - Wrap up4 jours3000.003000.003000.003000.00