Services

Author: Andrea Giussani; Difficulty: Beginner; Description: In this lab, you will learn how to create a dataset using the PySpark library, and to manipulate it using standard filtering and slicing techniques.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Farish Kashefinejad; Difficulty: Beginner; Duration: 4 minutes and 58 seconds; Content Topics: Artificial Intelligence; This course has: 1 Lecture

Author: Chris Gambino & Joe Niemiec; Difficulty: Beginner; Duration: 1 hour and 1 minute; Content Topics: Machine Learning; This course has: 4 Lectures

Author: Calculated Systems; Difficulty: Intermediate; Duration: 37 minutes and 44 seconds; Content Topics: Artificial Intelligence; This course has: 6 Lectures

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 21 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Lectures

Author: Calculated Systems; Difficulty: Intermediate; Duration: 30 minutes and 13 seconds; Content Topics: Data Engineering, SQL, Data Transformation; This course has: 4 Lectures

Author: Andrew Larkin; Difficulty: Intermediate; Description: Start manipulating and modelling data with Amazon SageMaker; Duration: Up to 5 hours and 59 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs

Author: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 9 hours and 12 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs

Author: Stefano Cascavilla; Difficulty: Intermediate; Duration: Up to 45 minutes; Content Topics: Machine Learning; This hands-on lab has: 5 Lab steps

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 1 minute; Content Topics: Machine Learning; This course has: 7 Lectures

Author: Thomas Mitchell; Difficulty: Beginner; Description: This course is designed to teach you the basics of Generative AI in Azure and Microsoft Power Platform.; Duration: Up to 1 hour and 22 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses

Author: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at beginners who want to move beyond spreadsheets and migrate their data into a database.; Duration: Up to 1 hour and 20 minutes; Content Topics: SQL; This hands-on lab has: 3 Lab steps

Author: Stuart Scott; Difficulty: Beginner; Duration: 24 minutes and 51 seconds; Content Topics: Machine Learning; This course has: 8 Lectures

Author: Michael Burgess; Difficulty: Beginner; Duration: 35 minutes and 35 seconds; Content Topics: Machine Learning; This course has: 3 Lectures

Author: Alibaba Cloud; Difficulty: Intermediate; Description: Learn how to carry out machine learning activities using Alibaba Cloud PAI (Platform for Artificial Intelligence) and its many features and capabilities!; Duration: Up to 6 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 6 Courses, 6 Exams

Author: Lee Mucciarone; Difficulty: Beginner; Description: This course is designed to teach you the basics of using Copilot in Microsoft 365.; Duration: Up to 1 hour and 17 minutes; Content Topics: Business Suites, Artificial Intelligence; This learning path has: 6 Courses

Author: Stuart Scott; Difficulty: Beginner; Description: In this lesson you will be introduced to the fundamental generative AI services on AWS; Duration: Up to 2 hours and 17 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 5 Courses

Author: QA Learning; Difficulty: Beginner; Description: This course examines generative AI, including how it learns, how it can be used in marketing, and where it is going in the future.; Duration: Up to 48 minutes; This learning path has: 4 Courses, 2 Exams

Author: Calculated Systems; Difficulty: Beginner; Description: Learn how to create a simulated banking concierge bot using Google DIalogflow in this lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 9 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Apply prompt engineering to develop a content categorization system in this lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step

Author: Logan Rakai; Difficulty: Beginner; Description: Learn how to use the OpenAI Chat completions API to generate text in this lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step

Author: Andrew Burchill; Difficulty: Intermediate; Description: Learn about Amazon Managed Workflows for Apache Airflow in this hands-on lab as you create a Directed Acyclic Graph in Apache Airflow.; Duration: Up to 2 hours; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS's natural language processing service Amazon Comprehend in this hands-on laboratory.; Duration: Up to 50 minutes; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps

Author: Andrea Giussani; Difficulty: Beginner; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the median values of owner-occupied housing in USD 1000 in the Boston dataset.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps