AI & Cyber Security Mastery 2025
Master the Integration of AI and Cyber Security to Protect Digital Systems and Stay Ahead of Emerging Threats
| Course Details | |
|---|---|
| Title | AI & Cyber Security Mastery 2025 |
| Category | IT & Software |
| Sub Category | Network & Security |
| Creator Name | Emin Pazarac |
| Language | English |
| Rating | 4.481132 |
| Length | 2:58 Hours |
| Coupon Status | Coupon Is Expired |
| Udemy Coupons Expire After 1000 Redemptions, So Please Join Our Telegram Or Whatsapp Group To Get An Instant Alert For Coupons. | |
Description
Cyber Security AI is the next frontier in protecting digital landscapes. Whether you’re an aspiring AI enthusiast eager to delve into the realm of cybersecurity, a student aiming to solidify your understanding of securing systems, or a seasoned programmer looking to integrate Python and Artificial Intelligence into cutting-edge cybersecurity tools, this course is designed for you!
Our hands-on and practical approach ensures you’ll learn by doing, diving into real-world applications and industry techniques. From harnessing AI tools to implementing advanced security measures, you’ll gain the skills needed to thrive in this evolving field.
We’ll begin by introducing ChatGPT for Cyber Security, demonstrating how to leverage its capabilities for ethical hacking, prompt engineering, and advanced data analysis. From there, we’ll cover essential topics, including:
1. AI in Cybersecurity Tools and Techniques – Learn how AI enhances traditional tools like firewalls, email filters, and intrusion detection systems.
2. Deep Learning for Cybersecurity – Master TensorFlow, PyTorch, and neural networks by building phishing detection systems and more.
3. AI Voice Cloning and Security Implications – Learn how AI-generated voice cloning works, its use in social engineering, and how to defend against audio-based phishing threats.
4. Python Programming – Explore Python’s power for preprocessing data, training models, and creating robust security solutions.
5. Advanced Threat Detection – Utilize platforms like Splunk, Elasticsearch, AWS GuardDuty, and Microsoft Azure Security Center for modern security practices.
6. Network Security and Malware Detection – Develop AI-driven systems to monitor networks and detect malware threats.
7. AI Risks and Ethical Concerns – Delve into risks such as data bias, model vulnerabilities, and ethical considerations in AI.
Throughout the course, you’ll work on projects like building phishing detection systems, analyzing network activity, and applying machine learning to real-world security problems. By the end, you’ll have mastered the tools and techniques to protect yourself, your business, and your clients in today’s rapidly advancing threat landscape.
Join us and become a leader in the transformative field of Cyber Security AI!