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Essentials of Prompt Engineering (Simplified Chinese)
Essentials of Prompt Engineering (Simplified Chinese)
在本课程中,我们将向您介绍编写有效提示的基础知识。您将了解如何针对一系列使用案例完善和优化提示。您还将探索零样本、少样本和思维链提示等技巧。最后,您将学习识别与提示工程相关的潜在风险。
课程级别:基础级
时长:60 分钟
注意:本课程具有本地化的注释/字幕。 旁白保留英语。要显示字幕,请单击播放.
Developing Machine Learning Solutions (Simplified Chinese)
Developing Machine Learning Solutions (Simplified Chinese)
在关于机器学习的这门课程中,您将了解机器学习生命周期,以及如何在每个阶段使用 AWS 服务。此外,您将了解机器学习模型的各种来源,并学习评估其性能的各种方法。您还将了解机器学习运维 (MLOps) 在简化机器学习项目的开发和部署方面的重要性。
课程级别:基础级
时长:1 小时
课程内容
本课程包含互动.
Fundamentos de machine learning e inteligência artificial (Português) | Fundamentals of Machine Learning and Artificial Intelligence (Portuguese)
Fundamentos de Machine Learning e Inteligência Artificial (Português) | Fundamentals of Machine Learning and Artificial Intelligence (Portuguese)
Neste curso, você aprenderá sobre os fundamentos de machine learning (ML) e inteligência artificial (IA). Você explorará as conexões entre IA, ML, aprendizado profundo e o campo emergente da inteligência.
Fundamentals of Machine Learning and Artificial Intelligence (Simplified Chinese)
机器学习和人工智能基础知识 (简体中文)
在本课程中,您将学习机器学习 (ML) 和人工智能 (AI) 的基础知识。您将探索 AI、ML、深度学习和新兴的生成式人工智能领域之间的联系。您将充分了解 AI 的基础术语,为深入探究这些概念奠定基础。此外,您将了解使用 AI 和 ML 功能的精选 Amazon Web Services (AWS) 服务。您将获得有关如何使用这些工具解决现实问题和推动各行业创新的实.
Data Engineering on AWS - A Streaming Data Pipeline Solution
Data Engineering on AWS - A Streaming Data Pipeline Solution
In this course, you will learn to build a streaming data analytics solutions using AWS services, including Amazon Kinesis, Amazon Data Firehose, and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Kinesis is a massively scalable and durable real-time data streaming service. Amazo.
Data Engineering on AWS - A Streaming Data Pipeline Solution (Amazonian)
Data Engineering on AWS - A Streaming Data Pipeline Solution (Amazonian)
In this course, you will learn to build a streaming data analytics solutions using AWS services, including Amazon Kinesis, Amazon Data Firehose, and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Kinesis is a massively scalable and durable real-time data streaming se.
Aspectos básicos del machine learning y la inteligencia artificial (Español LATAM) | Fundamentals of Machine Learning and Artificial Intelligence (LATAM Spanish)
Aspectos básicos del machine learning y la inteligencia artificial (Español LATAM) | Fundamentals of Machine Learning and Artificial Intelligence (LATAM Spanish)
En este curso, aprenderá los aspectos básicos del machine learning (ML) y la inteligencia artificial (IA). Explorará las relaciones entre la IA, el ML, el aprendizaje profundo y el campo.
Explorando casos de uso e aplicações de inteligência artificial (Português) | Exploring Artificial Intelligence Use Cases and Applications (Portuguese)
Explorando casos de uso e aplicações de inteligência artificial (Português) | Exploring Artificial Intelligence Use Cases and Applications (Portuguese)
Neste curso, você aprenderá os casos de uso práticos de inteligência artificial (IA), machine learning (ML) e inteligência artificial generativa (IA generativa) em uma variedade de setores, como s.
Práticas de IA responsável (Português) | Responsible Artificial Intelligence Practices (Portuguese)
Práticas de IA Responsável (Português) | Responsible Artificial Intelligence Practices (Portuguese)
Neste curso, você verá práticas responsáveis de IA. Primeiro, você aprenderá o que é a IA responsável. Você aprenderá a defini-la, entender os desafios que ela busca superar e explorar suas principais dimensões.
Em seguida, você se aprofundará em.
Optimizing Foundation Models (Simplified Chinese)
优化基础模型 (简体中文)
在本课程中,您将探索两种可提高基础模型 (FM) 性能的技术:检索增强生成 (RAG) 和微调。您将了解有助于使用向量数据库存储嵌入的 Amazon Web Services (AWS) 服务、代理在多步骤任务中的作用、定义微调 FM 的方法以及如何准备用于微调的数据等等。
课程级别:基础级
时长:1 小时
本课程包含互动元素、文字说明、配文图表和知识考核。
在本课.
Data Engineering on AWS - Foundations
Data Engineering on AWS - Foundations
In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for conti.
AWS ML Engineer Associate 2.1 Choose a Modeling Approach
AWS ML Engineer Associate 2.1 Choose a Modeling Approach
Explore the AWS ML stack layers and learn how to solve common business challenges with AWS services. This course explores how to use Amazon SageMaker for machine learning tasks and how to review strategies for selecting appropriate models.
Additionally, this course highlig.