[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cheat-sheet---en":3,"domain-info---en":3,"topic-info----en":3,"next-aws-certified-ai-practitioner-ai-ml-fundamentals-ai-ml-core-concepts-generative-and-agentic-ai-en":4,"prev-aws-certified-ai-practitioner-ai-ml-fundamentals-ai-ml-core-concepts-generative-and-agentic-ai-en":18,"lesson-aws-certified-ai-practitioner-ai-ml-fundamentals-ai-ml-core-concepts-generative-and-agentic-ai-en":28},null,{"locked":5,"reason":6,"meta":7,"item":3},true,"paywall",{"title":8,"description":9,"isFree":10,"estimatedMinutes":11,"difficulty":12,"learningObjectives":13},"Types of Data in AI","Learn the two independent properties of AI data, structure and labeling, and how tabular, time-series, image, and text formats map to real machine learning problems.",false,15,"beginner",[14,15,16,17],"Distinguish structured, semi-structured, and unstructured data","Distinguish labeled from unlabeled data and connect each to a learning type","Explain why structure and labeling are independent properties of a dataset","Identify tabular, time-series, image, and text data and their typical uses",{"locked":5,"reason":6,"meta":19,"item":3},{"title":20,"description":21,"isFree":10,"estimatedMinutes":22,"difficulty":12,"learningObjectives":23},"Neural Networks and Deep Learning","Understand what a neural network is, what makes deep learning 'deep,' and how deep learning differs from traditional machine learning on feature engineering, data needs, and interpretability.",16,[24,25,26,27],"Explain what a neural network is and how neurons, layers, and weights work together","Describe what makes deep learning 'deep' and why depth helps with complex data","Compare deep learning with traditional machine learning on feature engineering, data, and interpretability","Identify tasks where deep learning is the right approach",{"locked":5,"reason":6,"meta":29,"item":3},{"title":30,"description":31,"isFree":10,"estimatedMinutes":11,"difficulty":12,"learningObjectives":32},"Generative and Agentic AI","See how generative AI creates new content with foundation models and LLMs, how agentic AI extends it to plan and act, and how both differ from traditional predictive machine learning.",[33,34,35,36],"Define generative AI and foundation models and explain how they differ from predictive ML","Explain what a large language model is and how it produces output","Define agentic AI and describe how it extends generative AI with planning and action","Distinguish predictive, generative, and agentic AI by what each one produces"]