Artificial intelligence in training refers to using machine learning, natural language processing, and automation to design, deliver, and measure learning. AI analyzes behavior to personalize paths, recommend modules, and pace content with spaced repetition. It also generates practice questions, explains concepts in plain language, translates materials, and provides real-time feedback during exercises or simulations. Today, AI is used across corporate L&D and universities. Companies use AI tutors and chatbots for onboarding and compliance; sales teams practice role-plays with conversational bots; service agents train on scenario simulations. In tech upskilling, AI code assistants review assignments and suggest fixes. Healthcare uses virtual patients for clinical reasoning drills; manufacturing uses vision-enabled simulators for safety. HR applies skills intelligence to map roles, close gaps, and forecast reskilling needs. Analytics dashboards track mastery and ROI, while accessibility features—captioning, transcripts, and summaries—support inclusive learning. Human oversight remains essential to ensure accuracy, fairness, and responsible data use.