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Ethical development and responsible deployment of AI and ML systems.
Get the essential skills to protect your AI system against cyber attacks. Explore how generative AI and LLMs can be harnessed to secure your projects and organizations against AI cyber threats. Develop secure and ethical systems while being mindful of privacy concerns with real-life examples that we use on a daily-basis with ChatGPT, GitHub Co-pilot, DALL-E, Midjourney, DreamStudio (Stable Diffusion), and others. Gain a solid foundation in AI and ML principles and be better prepared to develop secure and ethical systems while being mindful of privacy concerns. Authors Omar Santos and Dr. Petar Radanliev are industry experts to guide and boost your AI security knowledge.
Related Learning:
Skill Level:
Course requirement:
Module 1: Fundamentals of AI and ML
Lesson 1: Overview of AI and ML Implementations
Lesson 2: Generative AI and Large Language Models (LLMs)
Module 2: AI and ML Security
Lesson 3: Fundamentals of AI and ML Security
Lesson 4: How Attackers Are Using AI to Perform Attacks
Lesson 5: AI System and Infrastructure Security
Module 3: Privacy and Ethical Considerations
Lesson 6: Privacy and AI Fundamentals
Lesson 7: AI Ethics
Lesson 8: Legal and Regulatory Compliance