Security Automation with Python Professional Certification Course
Course Name - Security Automation with Python Professional Certification Course
The only professional certification course you need to learn Security Automation with Python.
Course Overview
The “Security Automation with Python” course is designed to empower security professionals with the skills to automate repetitive and critical cybersecurity tasks using Python. Covering topics such as vulnerability scanning, log analysis, network traffic monitoring, and phishing email detection, this course bridges the gap between manual security operations and efficient automation. Learners will engage in hands-on labs and projects, creating Python scripts to address real-world challenges in cybersecurity. By the end of the course, participants will be proficient in developing security automation tools tailored to their organizational needs.
Course Type
Intermediate Level
Course Objectives
1. Introduce the fundamentals of security automation and Python scripting.
2. Enable learners to automate vulnerability scanning, log analysis, and network traffic monitoring.
3. Teach advanced techniques for phishing detection and threat identification.
4. Develop skills in integrating Python scripts with security tools and APIs.
5. Provide hands-on experience through practical labs and a comprehensive final project.
What You'll Learn?
– The essentials of setting up a Python environment for security automation.
– Writing Python scripts for automating vulnerability scans and log analysis.
– Techniques for network traffic monitoring using Python libraries like Scapy and pcap.
– Methods to detect phishing emails and analyze malicious URLs.
– How to design modular and well-documented Python scripts for security automation.
– Real-world application through a final project combining multiple areas of expertise.
Duration
40 hours (20 hours of lectures, 20 hours of practical labs and projects).
Requirements
– A computer with Python installed and internet access.
– Basic familiarity with using Python libraries and virtual environments.
– Access to open-source tools like Wireshark or Nessus (optional but recommended).
Pre-requisites
– Basic knowledge of cybersecurity concepts.
– Familiarity with Python programming, including working with libraries and writing scripts.
– Awareness of common security tools and practices is a plus.
Target Audience
– Security analysts and professionals looking to automate cybersecurity tasks.
– IT professionals aiming to integrate automation into their security workflows.
– Students and developers interested in combining Python skills with cybersecurity.
– Organizations seeking to enhance efficiency in their security operations.
Batch Details
Batch Start Date
Batch Timing
Batch End Date
Batch Days
Curriculum
– Overview of Security Automation
– Importance of automation in cybersecurity
– Benefits and challenges of automating security tasks
– Introduction to Python for security automation
– Setting up Python Environment for Security Tasks
– Installing necessary libraries (e.g., requests, socket, os, re)
– Setting up a virtual environment
– Introduction to Vulnerability Scanning
– Overview of vulnerability scanning tools (e.g., OpenVAS, Nessus)
– Automating scans using Python scripts
– Working with APIs of vulnerability scanners
– Lab Project: Develop a simple script to automate vulnerability scanning using Python
– Automating Log Analysis
– Types of logs (system, web server, firewall, etc.)
– Writing Python scripts to parse and analyze logs
– Searching for patterns or anomalies in logs using regular expressions
– Threat Detection with Log Analysis
– Identifying suspicious activity or anomalies in logs
– Automating alerts based on predefined patterns
– Email Phishing Detection
– Understanding phishing email characteristics
– Writing Python scripts to analyze email headers and content for phishing attempts
– Leveraging machine learning libraries for phishing detection
– Lab Project: Create a Python script that automates log analysis for detecting suspicious activity
– Network Traffic Overview
– Introduction to packet capture and analysis (Wireshark, tcpdump)
– Using Python for network traffic analysis
– Introduction to libraries: scapy, socket, and pcap
– Automating Packet Capture and Analysis
– Setting up network sniffing using Python scripts
– Analyzing packet data (source, destination, protocols)
– Network Anomaly Detection
– Detecting anomalies in traffic patterns
– Writing scripts to automate traffic analysis and report suspicious activity
– Lab Project: Develop a script to automate network traffic capture and analysis
– Phishing Email Detection (continued)
– Advanced techniques for phishing detection (URLs, attachments, etc.)
– Using Python libraries like BeautifulSoup and Requests for URL extraction and analysis
– Final Project Development
– Develop a custom security automation script tailored to a real-world scenario
– Combining skills learned from vulnerability scanning, log analysis, network traffic analysis, and phishing detection
– Final Project Presentation and Review
– Present and review final projects
– Peer review and feedback
– Discussion of additional resources for continuing education
– Custom Security Automation Script
– Create a comprehensive security automation script combining at least two areas of learning (e.g., vulnerability scanning + log analysis or network traffic + phishing detection).
– The script should be modular, well-documented, and able to run autonomously on a system or network.
FAQ
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