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    Cybersecurity Fundamentals [3 Course Bundle]

    Posted By: ELK1nG
    Cybersecurity Fundamentals [3 Course Bundle]

    Cybersecurity Fundamentals [3 Course Bundle]
    Published 1/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 691.01 MB | Duration: 0h 43m

    Master the Core Skills to Detect, Respond, and Defend Against Cyber Threats

    What you'll learn

    Understand and apply key digital forensics techniques across endpoints, networks, cloud environments, and mobile devices.

    Understand the core phases of ethical hacking

    Explore social engineering tactics

    Apply Proactive Detection Techniques

    Requirements

    Basic understanding of network and device protocols

    Description

    This course bundle combines three foundational cybersecurity disciplines—Digital Forensics and Incident Response (DFIR), Ethical Hacking Fundamentals, and Cyber Threat Hunting—into one cohesive learning experience. Designed to equip learners with essential skills, this bundle covers the critical areas needed to detect, respond to, and mitigate cyber threats effectively.The DFIR module focuses on the investigation of security incidents and the preservation of digital evidence across endpoints, networks, cloud, and mobile devices. Learners will gain practical insights into memory and malware analysis while ensuring legal compliance for evidence handling.The Ethical Hacking module introduces participants to the tools and techniques used by ethical hackers to uncover vulnerabilities. Covering phases like reconnaissance and exploitation, it emphasizes hands-on learning, including simulated exercises and defenses against social engineering attacks. Learners will also explore legal and privacy compliance, making this an essential introduction to ethical hacking.The Threat Hunting module empowers participants to proactively detect and mitigate advanced threats. Learners will explore hypothesis-driven investigations, anomaly detection techniques, and the use of threat intelligence. Collaboration, documentation, and process refinement are emphasized to promote a culture of proactive defense.With a mix of real-world applications, hands-on exercises, and strategic frameworks, this bundle provides a well-rounded foundation for anyone looking to advance their cybersecurity expertise. Whether you're starting out or expanding your skills, this course bundle equips you to enhance organizational security and stay ahead of evolving cyber threats.

    Overview

    Section 1: Ethical Hacking Fundamentals

    Lecture 1 Welcome and Introduction

    Lecture 2 Reconnaissance and Information Gathering

    Lecture 3 Exploitation Tools and Techniques

    Lecture 4 Social Engineering

    Lecture 5 Reporting and Analysis

    Lecture 6 Legal and Privacy Issues

    Lecture 7 Bug Bounty Programs and Ethical Disclosure

    Lecture 8 Recap

    Section 2: Cyber Threat Hunting Techniques

    Lecture 9 Welcome and Introduction

    Lecture 10 Understanding Threat Hunting Methodologies

    Lecture 11 Building a Threat Hunting Framework

    Lecture 12 Identifying and Utilizing Data Sources

    Lecture 13 Developing and Testing Hypotheses

    Lecture 14 Anomaly Detection in Threat Hunting

    Lecture 15 Leveraging Threat Intelligence in Threat Hunting

    Lecture 16 Tools and Technologies for Threat Hunting

    Lecture 17 Documenting and Reporting Findings

    Lecture 18 Continuous Improvement in Threat Hunting

    Lecture 19 Recap

    Section 3: Mastering Digital Forensics

    Lecture 20 Welcome and Introduction

    Lecture 21 Acquiring and Preserving Digital Evidence

    Lecture 22 Legal Considerations

    Lecture 23 Endpoint Forensics

    Lecture 24 Network Forensics

    Lecture 25 Cloud Forensics

    Lecture 26 Mobile Device Forensics

    Lecture 27 Memory Forensics and Volatile Data Acquisition

    Lecture 28 Malware Analysis and Reverse Engineering

    Lecture 29 Recap

    Section 4: Cybersecurity Fundamentals Assessment

    Ideal for aspiring cybersecurity professionals.