个结果，搜索词为 "amazon bedrock"
Amazon Web Services
您将获得的技能: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI Agents, Retrieval-Augmented Generation, Generative AI, Fine-tuning, LangChain, Agentic Workflows, AI Workflows, Model Training, Model Optimization, Large Language Modeling, Artificial Intelligence, Token Optimization, Transfer Learning, LLM Application, AI literacy, Amazon Web Services, Context Management
Amazon Web Services
您将获得的技能: Amazon Bedrock, Generative AI Agents, Retrieval-Augmented Generation, Prompt Engineering, Generative AI, Agentic Workflows, AI Workflows, LLM Application, Amazon Web Services, Context Management, Agentic systems
Pragmatic AI Labs
您将获得的技能: Amazon Bedrock, AI Security, Retrieval-Augmented Generation, Docker (Software), Prompt Engineering, GitHub Copilot, Token Optimization, Agentic Workflows, AI Orchestration, LLM Application, Debugging, Serverless Computing, Software As A Service, Model Context Protocol, Amazon Web Services, Large Language Modeling, Rust (Programming Language), Code Review, Natural Language Processing, GitHub
Amazon Web Services
您将获得的技能: 生成式人工智能, 人工智能, 人工智能和机器学习（AI/ML）, 大型语言建模, Amazon Web Services, 亚马逊基岩, 人工智能赋能
Amazon Web Services
您将获得的技能: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, Data Ethics, AWS SageMaker, AI Workflows, Agentic systems, AI Product Strategy, Agentic Workflows, Amazon Web Services, AI Integrations, LLM Application, AI Orchestration, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Data Management
Amazon Web Services
您将获得的技能: Model Context Protocol, Amazon Bedrock, Model Deployment, Generative AI Agents, AI Orchestration, AI Workflows, AI Enablement
是什么让您今天来到 Coursera？
DeepLearning.AI
您将获得的技能: Amazon Bedrock, Agentic Workflows, Serverless Computing, Responsible AI, Agentic systems, AI Workflows, Generative AI Agents, Amazon Web Services, AI Security, Cloud Deployment, Customer Relationship Management, Security Controls
Amazon Web Services
您将获得的技能: Amazon Elastic Compute Cloud, Amazon Web Services, Performance Tuning, Cloud Infrastructure, Computing Platforms, Infrastructure As A Service (IaaS), Cloud Services, Capacity Management
Duke University
您将获得的技能: 模型培训, 功能工程, Microsoft Azure, 机器学习方法, 数据分析, Python 编程, 数据管道, 机器学习, Model Evaluation, 模型部署, 应用机器学习, 无服务器计算, 数据预处理, AWS SageMaker, 模型评估, 探索性数据分析, MLOps（机器学习运营）, Amazon Web Services, 微软 Azure, 云部署
Pragmatic AI Labs
您将获得的技能: Amazon Bedrock, Amazon Web Services, Agentic Workflows, LLM Application, AI Workflows, Anthropic Claude, Generative AI Agents, Agentic systems, Retrieval-Augmented Generation, Tool Calling, Cloud Computing, Generative AI, Model Deployment, Prototyping, Bash (Scripting Language), Embeddings, Large Language Modeling, Restful API, Model Evaluation, Rust (Programming Language)
Pragmatic AI Labs
您将获得的技能: Prompt Engineering, Prompt Patterns, Amazon Bedrock, Token Optimization, Prompt Engineering Tools, Rust (Programming Language), Agentic Workflows, Process Modeling, AI Workflows, Natural Language Processing, LLM Application, Large Language Modeling, Generative AI, Data Pipelines, Command-Line Interface, Agentic systems, Version Control
Amazon Web Services
您将获得的技能: 数据可视化, 数据架构, 云计算, 云工程, 云基础设施, 可扩展性, 亚马逊弹性计算云, 云解决方案, AWS 身份和访问管理 (IAM), 身份和访问管理, 无服务器计算, 亚马逊 DynamoDB, 亚马逊 S3, 事件驱动编程, Amazon Web Services, 云安全, 亚马逊云观察, 解决方案架构, 云计算架构, 数据湖
总之，以下是 10 最受欢迎的 amazon bedrock 课程
- AWS Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
- Generative AI Applications with Amazon Bedrock: Amazon Web Services
- AI Tooling: Pragmatic AI Labs
- 亚马逊 Bedrock - 入门 Generative AI: Amazon Web Services
- AWS Generative AI Applications: Amazon Web Services
- Building AI Agents with Amazon Bedrock AgentCore: Amazon Web Services
- Serverless Agentic Workflows with Amazon Bedrock: DeepLearning.AI
- Amazon EC2 Basics: Amazon Web Services
- MLOps 平台：亚马逊 SageMaker 和 Azure ML: Duke University
- AWS Intelligent Applications with Amazon Bedrock: Pragmatic AI Labs
