Cybersecurity Fundamentals
- Description
- Curriculum
I. Introduction:Â
In an era where almost every aspect of daily life is interconnected through technology, the need for robust cybersecurity measures has never been more critical. Cyber threats constantly evolve, posing risks to individuals, businesses, and entire industries. This course provides an in-depth understanding of cybersecurity fundamentals, ensuring learners can recognize, defend against, and mitigate common cyber threats. The course covers essential topics including types of cyber threats, security best practices, ethical hacking, vulnerability management, and relevant legal frameworks, to foster a comprehensive understanding of the cybersecurity landscape. Through interactive lessons and practical examples, you will gain the foundational skills necessary to secure digital assets and understand the importance of cybersecurity from both a technical and ethical standpoint.
This can be said to be the practice of protecting systems, networks, and programs from digital attacks, damage, or unauthorized access. Attacks can come from various sources, such as cybercriminals, hackers, or even insiders with malicious intent. As technology becomes more integrated into daily life, the need for strong cybersecurity measures has never been more critical.
II. Course objectives:
Upon completion of this course, participants will be able to:
- Understand the core concepts and terminology of cybersecurity.
- Identify common cyber threats, including malware, phishing, and ransomware
- Implement basic security measures to safeguard devices and networks.
- Learn about ethical hacking, vulnerability management, and risk mitigation.
- Recognize legal, regulatory, and ethical aspects of cybersecurity.
III. Course highlights:
Module 1:Introduction to cybersecurity
- Overview of cybersecurity and its importance in the digital age.
- Key cybersecurity terminology and concepts.
- Understanding the cyber threat landscape: risks and challenges.
- Importance of cybersecurity for individuals and organizations.
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Module 2:Understanding cyber threats
- Types of cyber threats: Malware (viruses, trojans, worms), Phishing, and Social Engineering.
- Ransomware, data breaches, and insider threats.
- Advanced Persistent Threats (APTs) and their implications.
- Case studies of real-world cyber-attacks and their impact.
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Module 3: Essential security measures
- Securing personal devices, networks, and data.
- Introduction to firewalls, encryption, and anti-malware solutions.
- Multi-factor Authentication (MFA) and strong password practices.
- Basic network security concepts: VPNs, Intrusion Detection Systems (IDS), and more.
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Module 4: Ethical hacking and vulnerability management
- Role of ethical hackers in cybersecurity: Penetration testing and vulnerability discovery.
- Key techniques for vulnerability management and patching.
- Overview of Security Information and Event Management (SIEM) tools.
- The importance of proactive threat detection and response strategies.
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Module 5:Cyber security laws, ethics, and culture
- Overview of major cybersecurity regulations (GDPR, CCPA, etc.).
- Industry standards and compliance requirements for businesses.
- Ethical considerations and responsibilities for cybersecurity professionals.
- Future trends and career opportunities in cyber security.
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IV. Target audience:
- Beginners in Cybersecurity
- IT Professionals and Enthusiasts
- Aspiring Cybersecurity Professionals
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1Nvidia New Technologies Slides
Welcome to your first slider tutorial. This slides will start with a simple introduction. Then, You will open up google cause I"ll show you where you can download the blender software and which version of it will we be using in the entire course period.
Note: The download link is available with the lecture, plus the .pdf file is also included for you to download if you still need help downloading the software.
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2Engine Target Audience
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3Quiz: Mobile / Native Apps
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4Realistic Graphic on UE4
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5Volta GPU for optimization.
The Tensor Core GPU Architecture designed to Bring AI to Every Industry. Equipped with 640 Tensor Cores, Volta delivers over 100 teraflops per second (TFLOPS) of deep learning performance, over a 5X increase compared to prior generation NVIDIA Pascal architecture.
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6Deep Learning