AI & Machine Learning

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Category: AI & Machine Learning

HANDS-ON LAB
Greg DeRenne
Getting Started with Amazon Elastic MapReduce
Intermediate
Duration: Up to 1 hour and 45 minutes
Author: Greg DeRenne; Difficulty: Intermediate; Description: Learn how to create an Amazon EMR (Elastic MapReduce) cluster and submit work to a cluster in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: Analytics, Storage; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Andrew Burchill
Automate Image Labeling with Amazon Rekognition
Beginner
Duration: Up to 1 hour
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to implement object detection on every new image uploaded on Amazon S3.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Andrew Burchill
Constructing Regular Expression Character Classes
Beginner
Duration: Up to 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will learn about the character classes and quantifiers elements of Regular Expressions, and use them to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Matt Martinez
Using Text Analytics in the Azure AI Services API
Beginner
Duration: Up to 1 hour
Author: Matt Martinez; Difficulty: Beginner; Description: Use the AI Services API in the Azure AI suite to perform text analytics operations by requesting the API services via an Azure Function App.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Logan Rakai
Using SageMaker Notebooks to Train and Deploy Machine Learning Models
Intermediate
Duration: Up to 1 hour
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
HANDS-ON LAB
Andrew Burchill
Evaluating Generative AI Models Using Amazon Bedrock
Beginner
Duration: Up to 1 hour
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
HANDS-ON LAB
Logan Rakai
TensorFlow Machine Learning on the Amazon Deep Learning AMI
Intermediate
Duration: Up to 1 hour and 40 minutes
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
HANDS-ON LAB
Logan Rakai
Using a TensorFlow Neural Network to Style Images
Intermediate
Duration: Up to 1 hour and 10 minutes
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
HANDS-ON LAB
Logan Rakai
Analyzing CPU vs GPU Performance for AWS Machine Learning
Beginner
Duration: Up to 45 minutes
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
COURSE
Kunal Haria
Operators in R
Intermediate
Duration: 24 minutes and 24 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 24 minutes and 24 seconds; Content Topics: Machine Learning; This course has: 4 Units
COURSE
Kunal Haria
Beginner Data Structures in R
Intermediate
Duration: 37 minutes and 39 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 37 minutes and 39 seconds; Content Topics: Machine Learning; This course has: 9 Units
COURSE
Kunal Haria
Interacting with R
Intermediate
Duration: 20 minutes and 52 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 20 minutes and 52 seconds; Content Topics: Development; This course has: 7 Units
COURSE
AI Trends
Intermediate
Duration: 16 minutes and 14 seconds
Difficulty: Intermediate; Duration: 16 minutes and 14 seconds; This course has: 5 Units
COURSE
Farish Kashefinejad
Generative AI - Concerns and Ethics
Beginner
Duration: 11 minutes and 47 seconds
Author: Farish Kashefinejad; Difficulty: Beginner; Duration: 11 minutes and 47 seconds; Content Topics: Artificial Intelligence; This course has: 1 Unit
COURSE
Francesco Mosconi
Getting Started With Deep Learning: Improving Performance
Beginner
Duration: 1 hour and 2 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 2 minutes; Content Topics: Machine Learning; This course has: 17 Units
COURSE
Francesco Mosconi
Getting Started With Deep Learning: Recurrent Neural Networks
Beginner
Duration: 45 minutes and 15 seconds
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 45 minutes and 15 seconds; Content Topics: Machine Learning; This course has: 12 Units
COURSE
Francesco Mosconi
Getting Started With Deep Learning: Convolutional Neural Networks
Beginner
Duration: 1 hour and 19 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 19 minutes; Content Topics: Machine Learning; This course has: 22 Units
COURSE
Francesco Mosconi
Getting Started with Deep Learning: Introduction To Machine Learning
Beginner
Duration: 2 hours and 4 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 2 hours and 4 minutes; Content Topics: Machine Learning; This course has: 22 Units
COURSE
Emilio Melo
Implementing Image Classification by Using the Azure Custom Vision Service
Intermediate
Duration: 48 minutes and 37 seconds
Author: Emilio Melo; Difficulty: Intermediate; Duration: 48 minutes and 37 seconds; Content Topics: Microsoft Azure; This course has: 10 Units
COURSE
Andrea Giussani
Building Machine Learning Pipelines with scikit-learn - Part One
Intermediate
Duration: 53 minutes and 23 seconds
Author: Andrea Giussani; Difficulty: Intermediate; Duration: 53 minutes and 23 seconds; Content Topics: Machine Learning; This course has: 6 Units
COURSE
Andrea Giussani
Data Wrangling with Pandas
Intermediate
Duration: 1 hour and 7 minutes
Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 7 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Units
LEARNING PATH
QA
Practical Machine Learning
Intermediate
Duration: Up to 19 hours and 1 minute
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
HANDS-ON LAB
Calculated Systems
Machine Learning - Training Custom Models
Beginner
Duration: Up to 1 hour and 30 minutes
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
COURSE
Kunal Haria
Plotting in R
Beginner
Duration: 28 minutes and 34 seconds
Author: Kunal Haria; Difficulty: Beginner; Duration: 28 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 3 Units