In this course, you will master offensive security using Python to automate vulnerability exploitation and enhance security workflows. You'll gain the practical skills necessary to secure web applications and infrastructures, focusing on real-world application and attack mitigation strategies.
Offensive Security Using Python
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Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
How to apply advanced Python techniques to automate and enhance offensive security workflows
How to detect and exploit web and infrastructure vulnerabilities using Python-driven tools
How to implement secure coding practices and develop custom solutions for threat detection and incident response
Skills you'll gain
- Automation
- Penetration Testing
- Web Scraping
- Python Programming
- Vulnerability Scanning
- Encryption
- Threat Detection
- Cloud Security
- Application Security
- Incident Response
- Exploitation techniques
- DevSecOps
- Open Web Application Security Project (OWASP)
- Vulnerability Assessments
- Security Testing
- Secure Coding
- Exploit development
- Security Engineering
Details to know
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Recently updated!
January 2026
Assessments
9 assignments
Taught in English
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There are 9 modules in this course
In this section, we explore offensive security basics, Python's role in operations, and key ethical and legal topics for responsible cybersecurity practices in real-world scenarios.
What's included
2 videos8 readings1 assignment
In this section, we explore advanced Python techniques for cybersecurity, including the use of critical security libraries, custom library compilation, and practical strategies for developing robust security tools.
What's included
1 video4 readings1 assignment
In this section, we learn foundational web security concepts and use Python tools to assess and improve the safety of web applications through practical and preventive measures.
What's included
1 video4 readings1 assignment
In this section, we examine how to detect and exploit web application vulnerabilities-including SQL injection, XSS, and IDOR-using Python tools and scripts, fostering practical penetration testing skills for enhanced security.
What's included
1 video6 readings1 assignment
In this section, we examine cloud security fundamentals, demonstrate Python-based data extraction, and address cloud misconfigurations, emphasizing practical countermeasures and the role of automation in identifying and mitigating real-world vulnerabilities.
What's included
1 video6 readings1 assignment
In this section, we learn to build automated security pipelines with Python, integrate APIs and third-party tools, and implement reliability and monitoring for adaptive automation in cybersecurity.
What's included
1 video5 readings1 assignment
In this section, we learn to design custom Python security tools, connect external data, and extend functionality with libraries to tackle evolving cybersecurity threats.
What's included
1 video4 readings1 assignment
In this section, we examine secure coding practices in Python, covering input validation, data encryption, and deployment strategies to protect applications from vulnerabilities and enhance real-world security.
What's included
1 video4 readings1 assignment
In this section, we demonstrate how to use Python for building effective threat detection systems, automating incident response, and orchestrating real-time log analysis, focusing on practical cybersecurity applications such as signature and anomaly-based methods.
What's included
1 video4 readings1 assignment
Instructor
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