Master AI Theory, Cybersecurity Integration & Future Trends – No Coding Required for 2025 Success
What you will learn
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Explain key generative AI architectures including GANs, VAEs, diffusion models, and LLMs with their real-world applications
Analyze the intersection of AI and cybersecurity, including threat detection, adversarial attacks, and security frameworks
Evaluate ethical implications and societal impacts of generative AI across industries like healthcare, finance, and creative arts
Compare traditional vs AI-enhanced cybersecurity approaches using case studies and theoretical frameworks from the field
Identify emerging threats and future trends in generative AI, including deepfakes, automated attacks, and quantum security
Apply theoretical knowledge to assess AI system vulnerabilities, model robustness, and supply chain risks in practice
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