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Introduction to Generative AI

What is Artificial Intelligence?

What is Generative AI?

Evolution of Generative AI

Types of Generative AI

Key Technologies in Generative AI

Break down of the different facets of Generative AI

Generative AI in Cybersecurity

Generative AI in Cybersecurity: Overview

Defensive Use Cases in Cybersecurity

Offensive Use Cases in Cybersecurity

Generative AI in Threat Intelligence

Generative AI in Network Security

Generative AI in Endpoint Security

Generative AI in Identity and Access Management

Challenges and Future Trends in Generative AI for Cybersecurity

Challenges in Using Generative AI for Cybersecurity

Future Trends in Generative AI for Cybersecurity

Ethical Considerations in AI-Powered Cybersecurity

Skills Needed for AI-Driven Cybersecurity

Regulatory Landscape for AI in Cybersecurity

The Future of Generative AI in Cybersecurity

Assessment

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Introduction toIntroduction to Generative AI

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            <p>Generative AI represents a transformative frontier in the field of artificial intelligence, enabling machines to create content that is indistinguishable from that produced by humans. This course, titled "Introduction to Generative AI," is designed to provide a comprehensive overview of the fundamental concepts, technologies, and applications of generative AI. Participants will explore the evolution of artificial intelligence, delving into its foundational principles and the specific mechanisms that drive generative models. The curriculum is structured to facilitate a deep understanding of generative AI, covering essential topics such as the various types of generative models, key technologies that underpin these systems, and the multifaceted nature of generative AI applications across different domains. 

In addition to foundational knowledge, this course will address the critical intersection of generative AI and cybersecurity. As organizations increasingly adopt AI-driven solutions, understanding the implications of generative AI in cybersecurity becomes paramount. The course will examine both defensive and offensive use cases, highlighting how generative AI can enhance threat intelligence, network security, and identity management. Furthermore, participants will engage with the challenges and future trends in this rapidly evolving field, including ethical considerations and the necessary skills for professionals in AI-driven cybersecurity. By the end of the course, learners will be equipped with the knowledge and insights needed to navigate the complexities of generative AI and its applications in cybersecurity effectively.</p>
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