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Master Python for a variety of cybersecurity tasks. This Specialization provides an application-driven introduction to using Python for cybersecurity.
Instructor: Howard Poston
23,974 already enrolled
Included with
(449 reviews)
Recommended experience
Intermediate level
1-5 years experience in cybersecurity with some Python experience.
(449 reviews)
Recommended experience
Intermediate level
1-5 years experience in cybersecurity with some Python experience.
Develop custom Python scripts to automate cybersecurity tasks.
Apply Python to meet objectives through the cybersecurity attack lifecycle.
Automate common cyberattack and defense activities with Python.
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Python is one of the most popular and widely-used programming languages in the world due to its high usability and large collection of libraries. This learning path provides an application-driven introduction to using Python for cybersecurity. Python can help to automate tasks across the cyberattack life cycle for both cyber attackers and defenders. This Specialization demonstrates some of these applications and how Python can be used to make cybersecurity professionals more efficient and effective.
Applied Learning Project
Learners will acquire the technical skills needs to develop custom Python scripts to automate cybersecurity tasks. The challenges in this project involve developing or modifying Python code to address cybersecurity use cases drawn from MITRE ATT&CK and Shield.
This course it the first part of the Python for Cybersecurity Specialization. Learners will get an introduction and overview of the course format and learning objectives.
This course is a continuation of Python for Cybersecurity. The topics covered are execution, persistence, privilege escalation and evasion.
This course covers credential Access, discovery, lateral movement & collection.
This course covers python for Command-and-control, Exfiltration and Impact.
This course covers Python for active defense.
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Infosec believes knowledge is power when fighting cybercrime. We help IT and security professionals advance their careers with skills development and certifications while empowering all employees with security awareness and privacy training to stay cyber-safe at work and home. Learn more at infosecinstitute.com.
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This Specialization takes between 8-15 hours to complete.
A basic understanding of Python is recommended.
We recommend you take the courses in the order they are presented.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
Financial aid available,
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (3/1/2024 - 3/1/2025)