Generative AI for AWS Cloud Engineers course is designed for technical professionals aiming to master the integration, deployment, and optimization of large language models (LLMs) within the AWS cloud infrastructure. It aims to bridge the gap between traditional cloud engineering and the rapidly evolving landscape of generative AI.

您将学到什么
Evaluate and optimize Foundation Model performance using RAG and Guardrails.
Evaluate key principles and legal risks of Responsible AI.
Implement security and privacy controls within the AWS Shared Responsibility Model.
您将获得的技能
- Prompt Engineering
- Cloud Security
- Natural Language Processing
- Model Deployment
- AI Enablement
- Data Ethics
- Retrieval-Augmented Generation
- Generative AI
- Responsible AI
- Amazon Web Services
- Model Evaluation
- Cloud Engineering
- AWS Identity and Access Management (IAM)
- Large Language Modeling
- Amazon Bedrock
- AI Security
- 技能部分已折叠。显示 10 项技能,共 16 项。
要了解的详细信息

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5 项作业
February 2026
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该课程共有2个模块
Welcome to Week 1 of the Generative AI for AWS Cloud Engineers course. This week, we will explore the Amazon Bedrock, starting with a comprehensive overview and hands-on demos to understand how to leverage FMs within the AWS ecosystem. You will learn how to customize models through Fine-tuning and implement advanced architectures like Retrieval-Augmented Generation (RAG) to enhance model accuracy with external data. By the end of this module, you will be able to configure Guardrails to ensure responsible AI usage, orchestrate complex tasks with Amazon Bedrock Agents, and navigate the Pricing structures to build cost-effective Generative AI solutions.
涵盖的内容
15个视频2篇阅读材料2个作业
Welcome to Week 2. This week, we will explore the foundational principles and ethical practices required to build and deploy Responsible AI systems. We will learn how to select models using responsible criteria and navigate the complex legal risks associated with generative AI. Furthermore, we will dive into the AWS Shared Responsibility Model as it applies to AI, identifying specific AWS tools and services designed to secure AI systems and ensure robust governance. By the end of this week, you will be able to implement security and privacy considerations effectively to manage and protect your AI applications within the AWS ecosystem.
涵盖的内容
10个视频2篇阅读材料3个作业
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