AWS Machine Learning & AI Courses and Certifications

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker (Spanish)

Introducción a Amazon SageMaker y sus componentes principales para trabajar con blocs de notas, entrenar modelos de aprendizaje automático y alojarlos.

• AWS Skill Builder
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker (French)

Découvrez les trois composants clés d’Amazon SageMaker : blocs-notes, entraînement et hébergement de modèles de Machine Learning.

• AWS Skill Builder
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker (Indonesian)

Pengantar Amazon SageMaker melalui tiga komponen utamanya: notebook, pelatihan model, dan hosting.

• AWS Skill Builder
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker (Simplified Chinese)

概览 Amazon SageMaker 如何借助笔记本、训练和托管组件构建、训练并部署机器学习模型。

• AWS Skill Builder
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker (Japanese) (日本語字幕版)

Amazon SageMakerで機械学習モデルを構築、トレーニング、デプロイするための概要を学びます。

• AWS Skill Builder
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker (Korean)

Amazon SageMaker의 노트북, 학습, 호스팅 구성 요소를 소개하는 입문 과정입니다.

• AWS Skill Builder
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

AWS Foundations: How Amazon SageMaker Can Help

Learn how Amazon SageMaker fits into the machine learning pipeline: use notebooks and instances, work with SageMaker data formats, and train, evaluate, and automatically tune models.

• AWS Skill Builder
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Machine Learning Exam Basics

Explore AWS machine learning services for building, training, and deploying models at scale, plus deep learning, business decision-making, and moving data through the ML pipeline.

• AWS Skill Builder
• 2 hours
• Self-Paced
• Free Certificate

statistics.com Career Certificate

Machine Learning Operations with Amazon Web Services (MLOps with AWS)

Machine Learning Operations (MLOps) is the core of AI Engineering. In this program, you will learn the tangible data engineering and data science skills needed to deploy machine learning models via A

• edX
• 12 weeks, 5-7 hours a week
• Self-Paced
• $510.00
• 3 courses

Amazon Web Services;  Amazon

AWS SimuLearn: Use Gen AI to Build an Image Recognition System

Design and build an image recognition solution on AWS through an AI-guided customer scenario and hands-on lab.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS SimuLearn: Provision SageMaker in a Secure Environment

Practice designing and provisioning Amazon SageMaker securely through an AI-guided customer scenario and live AWS Console lab.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS SimuLearn: Extract Text from Docs

Practice designing and building an AWS solution that extracts text from documents with Amazon Textract through an AI-guided customer scenario and live console lab.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS SimuLearn: Personalize the Customer Experience

Design and build an AWS solution for personalizing customer experiences through an AI-guided scenario and live console lab.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS SimuLearn: Text-to-Speech

Practice designing and building an AWS text-to-speech solution with Amazon Polly through an AI-guided customer scenario and live console lab.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS SimuLearn: Commodity Stock Price Forecasting

Practice translating a commodity stock price forecasting scenario into an AWS solution through AI customer dialogue and a guided build in the live AWS Console.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course