Master the Integration of AI and Cyber Security to Protect Digital Systems and Stay Ahead of Emerging Threats
What you will learn
Understand the role of AI in modern cyber security and how it enhances threat detection and prevention.
Learn to identify cyber security threats, vulnerabilities, and implement risk management strategies.
Master key AI tools like TensorFlow, PyTorch, and ChatGPT for securing systems and data.
Develop hands-on skills in building AI models for cyber security using Python and deep learning frameworks.
Gain proficiency in using tools like Wireshark, Splunk, and AWS GuardDuty to detect and mitigate attacks.
Explore the NIST AI Risk Management Framework and its applications in creating secure AI-driven solutions.
Learn ChatGPT with Cyber Security
Learn the basics of Cyber Security
Learn the basics of Artificial Intelligence
Learn the basics of Python
Learn the basics of PyTorch
Creating a Phishing detection System with AI
Learn the hardware tools used in Cyber Security
Why take this course?
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.
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3. Python Programming – Explore Python’s power for preprocessing data, training models, and creating robust security solutions.
4. Advanced Threat Detection – Utilize platforms like Splunk, Elasticsearch, AWS GuardDuty, and Microsoft Azure Security Center for modern security practices.
5. Network Security and Malware Detection – Develop AI-driven systems to monitor networks and detect malware threats.
6. 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!
