This course provides a comprehensive understanding of Artificial Intelligence (AI) and its critical role in modern cybersecurity. Learners will explore AI fundamentals, its components, applications, benefits, and challenges, along with its growing importance in digital security.
Covers the fundamentals of AI, including its definition as a system that simulates human intelligence and its use in making intelligent, adaptive decisions.
Introduces key AI components such as Machine Learning, Natural Language Processing (NLP), Computer Vision, Robotics, Expert Systems, and Neural Networks, explaining how each contributes to AI functionality.
Differentiates between various types of AI, including Narrow AI (task-specific), General AI (human-level intelligence), and Superintelligent AI (AI that surpasses human intelligence).
Explores the practical applications of AI across multiple industries, including healthcare, business, transportation, education, and security.
Discusses the benefits of AI, such as speed and automation, while also addressing its challenges, including job loss, bias, and ethical dilemmas.
Examines future trends in AI, including the development of human-like AI, the synergy with quantum computing, and the growing importance of ethical AI development.
Defines cybersecurity and explains its importance in protecting networks, data, and systems, along with an overview of its key areas.
Discusses how AI helps in fighting cyber threats by enabling faster and smarter attacks, and how it supports cybersecurity through threat detection, automation, and behavioral analysis.
Explores the malicious use of AI in cybercrime, including AI-driven phishing, deepfakes for fraud, and adaptive AI malware.
Outlines best practices for proactive AI security, the use of AI with blockchain, and the importance of human-AI collaboration for a more secure digital future.