AI & Machine Learning

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Category: AI & Machine Learning

HANDS-ON LAB
Thomas Holmes
Practical Data Science: Introduction to Python
Beginner
Duration: Up to 2 hours
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
HANDS-ON LAB
Logan Rakai
Amazon SageMaker Notebook Playground
Beginner
Duration: Up to 2 hours
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
HANDS-ON LAB
Andrew Burchill
Employing Generative AI for Development With Amazon Bedrock
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps
COURSE
Michael Burgess
Module 3 - Supervised Learning - Part One
Beginner
Duration: 1 hour
Author: Michael Burgess; Difficulty: Beginner; Duration: 1 hour; Content Topics: Machine Learning; This course has: 4 Units
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
COURSE
Kunal Haria
Implicit Control Flow in R
Intermediate
Duration: 30 minutes and 49 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 30 minutes and 49 seconds; Content Topics: Machine Learning; This course has: 6 Units
COURSE
Kunal Haria
Functions in R
Intermediate
Duration: 26 minutes and 47 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 26 minutes and 47 seconds; Content Topics: Machine Learning; This course has: 7 Units
COURSE
Kunal Haria
Intermediate Data Structures in R
Intermediate
Duration: 39 minutes and 32 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 39 minutes and 32 seconds; Content Topics: Machine Learning; This course has: 8 Units
COURSE
Thomas Holmes
Practical Data Science With Python
Intermediate
Duration: 57 minutes and 23 seconds
Author: Thomas Holmes; Difficulty: Intermediate; Duration: 57 minutes and 23 seconds; Content Topics: Development; This course has: 8 Units
COURSE
Andrew Larkin
Get Started with Amazon SageMaker Data Wrangler, Data Pipeline, Feature Store and Ground Truth
Beginner
Duration: 32 minutes and 16 seconds
Author: Andrew Larkin; Difficulty: Beginner; Duration: 32 minutes and 16 seconds; Content Topics: Amazon Web Services; This course has: 6 Units
COURSE
Thomas Holmes
Working with Pandas
Intermediate
Duration: 57 minutes and 18 seconds
Author: Thomas Holmes; Difficulty: Intermediate; Duration: 57 minutes and 18 seconds; Content Topics: Machine Learning; This course has: 6 Units
LEARNING PATH
Onsite Search Essentials
Beginner
Duration: Up to 46 minutes
Difficulty: Beginner; Description: An overview of how and why search algorithms prioritize organic product listings, and how to encourage effective data sharing with retail partners.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams
HANDS-ON LAB
Kunal Haria
Fundamentals of R
Beginner
Duration: Up to 8 hours
Author: Kunal Haria; Difficulty: Beginner; Description: This lab includes several modules for you to work through to cement your R fundamentals proficiency.; Duration: Up to 8 hours; This hands-on lab has: 2 Lab steps
COURSE
Michael Burgess
Module 5 - Regression
Beginner
Duration: 35 minutes and 35 seconds
Author: Michael Burgess; Difficulty: Beginner; Duration: 35 minutes and 35 seconds; Content Topics: Machine Learning; This course has: 3 Units
COURSE
Michael Burgess
Module 4 - Model Selection
Beginner
Duration: 47 minutes and 57 seconds
Author: Michael Burgess; Difficulty: Beginner; Duration: 47 minutes and 57 seconds; Content Topics: Machine Learning; This course has: 4 Units
COURSE
Michael Burgess
Module 2 - Maths for Machine Learning - Part One
Beginner
Duration: 1 hour and 45 minutes
Author: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 45 minutes; Content Topics: Machine Learning; This course has: 10 Units
COURSE
Michael Burgess
Module 1 – Python for Machine Learning
Beginner
Duration: 52 minutes and 2 seconds
Author: Michael Burgess; Difficulty: Beginner; Duration: 52 minutes and 2 seconds; Content Topics: Machine Learning; This course has: 4 Units
COURSE
Thomas Holmes
Working with Python
Advanced
Duration: 49 minutes and 22 seconds
Author: Thomas Holmes; Difficulty: Advanced; Duration: 49 minutes and 22 seconds; Content Topics: Development; This course has: 5 Units
COURSE
Michael Burgess
Module 2 - Maths for Machine Learning - Part Two
Beginner
Duration: 1 hour and 32 minutes
Author: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 32 minutes; Content Topics: Machine Learning; This course has: 8 Units
COURSE
Michael Burgess
Module 0 - What is Machine Learning? - Part Two
Beginner
Duration: 1 hour and 30 minutes
Author: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 30 minutes; Content Topics: Machine Learning; This course has: 7 Units
COURSE
Michael Burgess
Module 3 - Supervised Learning - Part Two
Beginner
Duration: 1 hour and 52 minutes
Author: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 52 minutes; Content Topics: Machine Learning; This course has: 10 Units
LEARNING PATH
Francesco Mosconi
Zero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neural Networks
Advanced
Duration: Up to 3 hours and 36 minutes
Author: Francesco Mosconi; Difficulty: Advanced; Description: This Course is the third and final of three Courses in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep L; Duration: Up to 3 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam
LEARNING PATH
Andrew Burchill
Solving Real World Problems with Regular Expressions in Python
Beginner
Duration: Up to 2 hours and 50 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 50 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 Hands-on labs
LEARNING PATH
AI in Software Engineering
Intermediate
Duration: Up to 9 hours and 59 minutes
Difficulty: Intermediate; Description: This course is designed for those new to AI tooling, as well as anyone looking to deepen their understanding of how AI fits into modern software architecture.; Duration: Up to 9 hours and 59 minutes; Content Topics: Artificial Intelligence; This learning path has: 6 Courses, 6 Exams, 6 Hands-on labs