Artificial Intelligence (AI) enables machines to perform tasks requiring human-like intelligence, such as decision-making and problem-solving. Its subsets include Machine Learning (ML), which uses data to improve systems without explicit programming, Deep Learning (DL), which employs neural networks for advanced pattern recognition, and Generative AI (Gen AI), which creates new content like text and images by analyzing data. Together, these technologies drive innovation, streamline processes, and deliver personalized experiences, making them essential in today’s digital world.
通过 Coursera Plus 提高技能,仅需 239 美元/年(原价 399 美元)。立即节省

您将学到什么
Understand the fundamental concepts and services related to AI and ML, including their applications in real-world scenarios.
Discover the steps to build, train, and deploy machine learning models using AWS tools and services.
Explore Responsible AI practices for developing fair, transparent, and explainable AI solutions.
Discuss the best practices for securing AI/ML workloads and ensuring compliance with AWS security standards.
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作业
12 项作业
授课语言:英语(English)
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MM
已于 Jun 25, 2025审阅
This has been designed really well and i could learn and took AWS practice exam where i could achiever 95%






