AI & Machine Learning

Author: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you'll use a SageMaker notebook to learn how to write Python code to prepare data, train and deploy models, and use them for real-time inference.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to run an automated model evaluation in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage, Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Develop, visualize, serve, and consume a TensorFlow machine learning model using the Amazon Deep Learning AMI in this Lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 9 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Join this Lab and gain experience using an TensorFlow convolutional neural network to style images and monitor the GPU used for training in Amazon CloudWatch.; Duration: Up to 1 hour and 10 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Take control of a p2.xlarge instance equipped with an NVIDIA Tesla K80 GPU to perform CPU vs GPU performance analysis for AWS Machine Learning in this Lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 8 Lab steps

Author: Kunal Haria; Difficulty: Intermediate; Duration: 24 minutes and 31 seconds; Content Topics: Machine Learning; This course has: 4 Lectures

Author: Kunal Haria; Difficulty: Intermediate; Duration: 37 minutes and 39 seconds; Content Topics: Machine Learning; This course has: 9 Lectures

Author: Kunal Haria; Difficulty: Intermediate; Duration: 20 minutes and 52 seconds; Content Topics: Development; This course has: 7 Lectures

Author: Farish Kashefinejad; Difficulty: Beginner; Duration: 11 minutes and 47 seconds; Content Topics: Artificial Intelligence; This course has: 1 Lecture

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 2 minutes; Content Topics: Machine Learning; This course has: 17 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 45 minutes and 15 seconds; Content Topics: Machine Learning; This course has: 12 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 19 minutes; Content Topics: Machine Learning; This course has: 22 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 2 hours and 4 minutes; Content Topics: Machine Learning; This course has: 22 Lectures

Author: Emilio Melo; Difficulty: Intermediate; Duration: 48 minutes and 37 seconds; Content Topics: Microsoft Azure; This course has: 10 Lectures

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 7 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Lectures

Author: QA; Difficulty: Intermediate; Description: Practical Machine Learning; Duration: Up to 19 hours and 1 minute; Content Topics: Amazon Web Services, Microsoft Azure; This learning path has: 11 Courses, 6 Exams, 2 Hands-on labs

Author: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to understand how to train custom models.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Kunal Haria; Difficulty: Beginner; Duration: 28 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 3 Lectures

Author: Kunal Haria; Difficulty: Intermediate; Duration: 35 minutes and 30 seconds; Content Topics: Development; This course has: 5 Lectures

Difficulty: Intermediate; Duration: 16 minutes and 14 seconds; This course has: 5 Lectures

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 53 minutes and 23 seconds; Content Topics: Machine Learning; This course has: 6 Lectures

Author: Thomas Holmes; Difficulty: Intermediate; Duration: 57 minutes and 18 seconds; Content Topics: Machine Learning; This course has: 6 Lectures

Author: Thomas Holmes; Difficulty: Beginner; Description: This Lab provides you with a Jupyter notebook that introduces you to basic concepts in Python by explaining concepts and letting you write and run Python code.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: This playground lab allows you to choose from Amazon's curated library of sample notebooks to learn about what is most important to you.; Duration: Up to 2 hours; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps