The next generation of cloud applications is powered by intelligent systems—and AWS Tools and Services for AI is your gateway into building them. This course takes you from the core foundations of Generative AI into the technologies that drive modern innovation.
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您将学到什么
Understand Generative AI foundations by exploring diffusion models, LLMs, and multi-modal systems that power modern intelligent cloud applications
Build enterprise AI solutions using Amazon Bedrock, apply structured prompt engineering, and boost productivity with AI assistance from Amazon Q
Implement Retrieval-Augmented Generation (RAG), connect real-time data to models, and understand its practical strengths, limits, and use cases
Deploy scalable AI using AWS managed services, choose the right databases for embeddings, and apply model evaluation after production rollout
您将获得的技能
要了解的详细信息

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12 项作业
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有2个模块
This module introduces the core principles of Generative AI, covering foundational concepts, language models, and prompt engineering. Learners also explore practical applications using Amazon Bedrock and Amazon Q.
涵盖的内容
32个视频5篇阅读材料7个作业
This module explores how Retrieval-Augmented Generation (RAG) enhances AI responses with relevant data and how to optimize AI models for performance and efficiency using AWS AI services.
涵盖的内容
23个视频4篇阅读材料5个作业
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常见问题
The AI Practitioner course covers Amazon Bedrock for creating generative AI apps, Amazon Q , and AWS AI Managed Services - Transcribe, Translate, Comprehend, Polly, Lex, Rekognition and Textract.
Yes, a course completion certificate is provided upon completing all graded assignments and quizzes present in the AWS AI Practitioner course.
Absolutely. AI-focused positions are in great demand, and this course will provide you with the practical skills you need to stand out as an AI analyst, AI product manager, or Cloud practitioner.
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