Generative Ai For Cybersecurity Professionals [GenAI - 03]
Published 8/2025
Created by Nirmala Lall
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 44 Lectures ( 8h 55m ) | Size: 3.2 GB
Master AI-Driven Cybersecurity: From Threat Detection to Defense Strategies in the Age of Generative AI
Analyze how generative AI transforms cybersecurity defense strategies and threat detection capabilities in modern SOCs
Evaluate security risks of AI-powered attacks including deepfakes, AI-generated malware, and adversarial techniques
Design AI-integrated security frameworks using NIST, MITRE ATT&CK, and Zero Trust Architecture principles
Apply generative AI tools for incident response, threat intelligence, and automated security operations workflows
Requirements
Basic understanding of cybersecurity concepts such as firewalls, malware, and network security, or willingness to learn these fundamentals alongside the course content.
Familiarity with general technology concepts and comfort using computer systems, though no programming experience is required.
Curiosity about artificial intelligence and its applications, with openness to exploring both the opportunities and challenges AI presents in cybersecurity.
Description
This course contains the use of artificial intelligence. Welcome to the definitive guide for cybersecurity professionals navigating the transformative impact of generative AI on modern security operations. This comprehensive course bridges the gap between traditional cybersecurity practices and cutting-edge AI technologies, providing you with the theoretical foundation and strategic insights needed to thrive in an AI-driven security landscape.Throughout this course, you'll explore how generative AI is revolutionizing both cyber defense and offense, from enhancing threat detection capabilities to creating sophisticated attack vectors. You'll examine real-world case studies, industry frameworks, and emerging trends that are reshaping the cybersecurity profession. The curriculum covers everything from fundamental AI concepts to advanced applications in Security Operations Centers, SIEM integration, and incident response automation.Designed for cybersecurity professionals, IT managers, and technology enthusiasts, this course requires only basic cybersecurity knowledge and curiosity about AI applications. With approximately 15-20 hours of content delivered through 23 comprehensive lectures, you'll gain the strategic understanding needed to evaluate, implement, and manage AI-powered security solutions while addressing associated risks and ethical considerations.By course completion, you'll possess the knowledge to make informed decisions about AI adoption in security contexts, understand the evolving threat landscape, and position yourself at the forefront of cybersecurity innovation. Whether you're enhancing your current role or exploring new career opportunities, this course provides the theoretical foundation essential for success in the AI-powered future of cybersecurity.
Who this course is for
Business executives and senior managers who need to understand how generative AI and cybersecurity intersect to make informed strategic decisions about technology adoption and risk management.
IT directors and technology leaders who want to bridge the gap between technical implementation and business strategy while ensuring secure AI deployment across their organizations.
Consultants and business analysts who advise organizations on digital transformation and need comprehensive knowledge of AI opportunities, cybersecurity risks, and implementation frameworks.
Entrepreneurs and startup founders who are integrating AI into their business models and need to understand both the competitive advantages and security challenges of generative AI.
Project managers and team leads who are responsible for AI initiatives and must coordinate between technical teams, security professionals, and business stakeholders.
Professionals transitioning into AI or cybersecurity roles who need foundational knowledge and practical frameworks to succeed in these rapidly evolving fields.