Generative AI for Beginners 2025 [GenAI - 02]

Generative AI for Beginners 2025 [GenAI - 02]

Master AI fundamentals, cybersecurity basics, and their intersection - theory-focused for 2025 professionals



Sub Category

  • Other IT & Software

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Objectives

  • Master foundational AI concepts, neural networks, and deep learning principles to understand how generative models work theoretically.
  • ML, deep learning, neural networks, and generative vs discriminative models fundamentally
  • Apply theoretical frameworks to assess AI-generated threats like deepfakes, automated phishing, and model poisoning attacks.
  • Evaluate ethical implications: bias, privacy, deepfakes, and responsible AI governance frameworks
  • Assess future trends: adversarial AI, emerging threats, and career pathways in AI security domain


Pre Requisites

  1. Basic computer literacy and familiarity with internet usage - no prior programming or technical experience required.
  2. Curiosity about technology and willingness to engage with theoretical concepts - course designed for beginners from any background.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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