Udemy – Generative AI – Risk and Cyber Security Masterclass 2025 2025-1
Udemy – Generative AI – Risk and Cyber Security Masterclass 2025 2025-1 Downloadly IRSpace
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Generative AI – Risk and Cyber Security Masterclass 2025, Generative AI is rapidly becoming an essential concept in artificial intelligence, offering incredible capabilities to simulate creativity and content generation. Tools like ChatGPT and MidJourney are changing the way industries operate. The “Generative AI – Risk and Cybersecurity Masterclass” is a comprehensive course designed to provide a deep understanding of generative AI technologies, their security risks, and the strategies needed to manage these risks effectively. This course covers the principles, components, and best practices for designing and deploying a security model within a Generative AI system. This course is designed for individuals interested in understanding and managing the risks associated with Generative AI. This course assumes a basic understanding of AI and cybersecurity, but no prior knowledge of Generative AI is required.
What you’ll learn
- How Generative AI is a game changer for risk and security
- What are the key risks in Generative AI
- What are the unique risks that Generative AI introduces
- How to secure a Generative AI system
Who this course is for
- Cybersecurity professionals wanting to know about Generative AI
- IT Professionals interested in learning about Generative AI
- CISOs who want to practically secure GenAI
- Risk professionals who to understand GenAI risks
Specificatoin of Generative AI – Risk and Cyber Security Masterclass 2025
- Publisher : Udemy
- Teacher : Taimur Ijlal | Award winning cybersecurity leader and instructor
- Language : English
- Level : Beginner
- Number of Course : 23
- Duration : 2 hours and 56 minutes
Content of Generative AI – Risk and Cyber Security Masterclass 2025
Requirements
- Basic Knowledge of IT
- Basic Knowledge of Risk and Security
- Passion to Learn !
- No expertise in AI or Generative AI is needed
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Subtitle : English
Quality: 720
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File size
500 MB
