CompTIA SecAI+ (CY0-001) Full Course: Lesson 1 - Foundations of AI
CompTIA SecAI+ (CY0-001) Lesson 1: Foundations of AI for cybersecurity professionals. Narrow vs general AI, the learning types, the model lifecycle, evaluation metrics, CNNs, RNNs, transformers, and generative AI risks. This is the vocabulary chapter. If these terms aren't second nature by the time you take the exam, the rest of the domains won't land. I cover what matters for the test, skip the PhD-level math, and map every concept back to real security use cases. 🎯 SECTIONS 00:00 Why this chapter matters 01:30 Narrow AI vs AGI vs ASI 03:45 Quick history: expert systems to transformers 06:00 Supervised, unsupervised, reinforcement learning 09:15 The model training lifecycle 12:00 Accuracy, precision, recall, F1, AUC 15:30 CNNs, RNNs, and transformers explained 19:00 NLP in security tools 21:30 Generative AI: deepfakes, synthetic media, AI code 24:00 Exam tips and review 📚 FULL STUDY RESOURCES Study guide, practice exams, flashcards: https://certcrush.app #SecAIPlus #AIFoundations #CompTIA
CompTIA SecAI+ (CY0-001) Full Course: Lesson 2 - AI in Cybersecurity Operations
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