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Generative AI is a core topic on the AWS AI & Machine Learning exams, and understanding real-world use cases is critical to passing. In this video, we break down Generative AI use cases and exam tips, including: ✔ Image & video generation ✔ Chatbots and conversational AI ✔ Code generation and text summarization ✔ Recommendation engines and personalization ✔ Advantages of Generative AI (adaptability, responsiveness, simplicity) ✔ Key limitations (hallucinations, bias, nondeterminism, interpretability) ✔ How to select the right Generative AI model ✔ Business metrics AWS expects you to recognize: Efficiency Accuracy Conversion Rate Average Revenue Per User (ARPU) Cross-domain performance Customer Lifetime Value (CLV) This lesson is exam-focused, beginner-friendly, and designed to help you identify the correct AWS services and AI strategies in scenario-based questions. 📌 Perfect for: AWS AI Practitioner AWS Machine Learning certifications Cloud engineers and developers learning Generative AI Anyone preparing for AWS Gen AI exam questions 👉 Subscribe for more AWS, AI, and Cloud certification lessons 👉 Watch the full Generative AI series to stay exam-ready #AWS #GenerativeAI #AWSExam #AIPractitioner #MachineLearning #CloudComputing #AWSCertification #ArtificialIntelligence #GenAI #AWSAI #AIUseCases #AWSLearning #TechCareers #CloudAI