All current Amazon SageMaker Courses courses in 2024
38 Courses
AWS SimuLearn: TensorFlow and Computer Vision
AWS SimuLearn: TensorFlow and Computer Vision
AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional.
AWS SimuLearn: Te.
Developing Machine Learning Solutions (Indonesian)
Developing Machine Learning Solutions (Indonesian)
Dalam kursus machine learning ini, Anda akan mempelajari tentang siklus hidup machine learning, dan cara menggunakan layanan AWS di setiap tahap. Selain itu, Anda akan menemukan beragam sumber untuk model machine learning dan mempelajari teknik untuk mengevaluasi kinerjanya. Anda juga akan memah.
AWS Machine Learning Engineer Nanodegree
AWS Machine Learning Engineer Nanodegree
The AWS Machine Learning Engineer (MLE) Nanodegree program aims to equip software developers and data scientists with essential data science and machine learning skills. Learn to build and deploy machine learning models in production using Amazon SageMaker. This comprehensive course focuses on the latest bes.
AWS Machine Learning Engineer Nanodegree
AWS Machine Learning Engineer Nanodegree
AWS Machine Learning Engineer Nanodegree
The AWS Machine Learning Engineer (MLE) Nanodegree program aims to empower software developers and data scientists with essential data science and machine learning skills. This program emphasizes the construction and deployment of machine learning.
AWS ML Engineer Associate Curriculum Overview (Simplified Chinese)
AWS ML Engineer Associate Curriculum Overview (Simplified Chinese)
在这个 AWS ML Engineer Associate Curriculum 的入门课程中,您将回顾机器学习 (ML) 基础知识并研究 ML 和 AI 的演变。您将探索 ML 生命周期的初始步骤,确定业务目标并根据该业务目标制定 ML 问题。最后,您将了解 Amazon SageMaker,这是一项完全托管式 AWS 服务,可用于.
AWS SimuLearn: Set Up an ML Environment
AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional.
AWS SimuLearn: Set Up an ML Environment
In this AWS SimuLearn assi.
AWS Foundations: How Amazon SageMaker Can Help (Japanese)
AWS Foundations: How Amazon SageMaker Can Help (Japanese)
Amazon SageMaker により、機械学習のパイプライン実装における主な課題がどのように解消されるのかを学習します。このコースでは、SageMaker ノートブックとインスタンスが機械学習ワークローの強化をサポートする方法を学び、Amazon SageMaker の主な機能を復習します。
コースレベル: 基礎
実施形式: デジタル.
Developing Machine Learning Solutions (Korean)
Developing Machine Learning Solutions (Korean)
이 기계 학습 과정에서는 기계 학습 수명 주기와 모든 단계에서 AWS 서비스를 사용하는 방법을 알아봅니다. 또한 기계 학습 모델에 대한 다양한 소스를 검색하고 해당 모델의 성능을 평가하는 기법도 알아봅니다. 기계 학습 프로젝트의 개발 및 배포를 간소화하는 데 있어 기계 학습 운영(MLOps)의 중요성도 이해합니다..
AWS Cloud Quest: Machine Learning (Japanese)
Explore the dynamic world of cloud computing and machine learning with AWS Cloud Quest: Machine Learning - offered in Japanese by AWS Skill Builder. This course is your gateway to mastering essential concepts such as:
Cloud computing fundamentals with Amazon S3.
Introductory cloud steps using Amazon EC2 and AWS infrastructure.
Estimat.
AWS SimuLearn: Chatbots with a Large Language Model (LLM)
AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialogue between a customer and a technology professional.
In this AWS SimuLearn assignment, you will review a real-world.