AI & Machine Learning

Difficulty: Beginner; Description: This is the digital module for ​AI Literacy: Safe and Compliant AI Use for All Staff​.; Duration: Up to 2 hours and 8 minutes; This learning path has: 6 Courses, 1 Exam

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: Intermediate; Description: This lab will walk you through building several binary classification models using different model methodologies and then comparing the model predictions using evaluation tools.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to gain a familiarity with Natural Language Processing (NLP) concepts.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

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

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create a model card to document your Amazon SageMaker machine learning models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to utilize natural language processing and machine learning to analyze Amazon CloudWatch Logs in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Hallam Webber; Difficulty: Intermediate; Duration: 37 minutes and 21 seconds; Content Topics: Microsoft Azure; This course has: 9 Units

Author: Alana Layton; Difficulty: Beginner; Duration: 20 minutes and 48 seconds; Content Topics: Development, Artificial Intelligence; This course has: 5 Units

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 9 minutes; Content Topics: Machine Learning; This course has: 6 Units

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 33 minutes; Content Topics: Development; This course has: 7 Units

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

Author: Stuart Scott; Difficulty: Advanced; Description: Uncover the components and features from the underlying infrastructure to the services that leverage the creation of building generative AI apps on AWS; Duration: Up to 13 hours and 50 minutes; Content Topics: Amazon Web Services; This learning path has: 15 Courses, 7 Hands-on labs

Author: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Development, Analytics; This hands-on lab has: 2 Lab steps

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: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to configure, prepare, and test an Amazon Bedrock agent to perform functional and operational tasks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to moderate textual content as a part of a content processing system in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how to enhance the accuracy of generative AI models in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Generative AI to create a new application on AWS in this hands-on lab; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Thomas Holmes; Difficulty: Beginner; Description: You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.; Duration: Up to 2 hours and 30 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

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

Difficulty: Intermediate; Description: Learn how agentic AI and language models enable agents to plan, reason, use tools, and act safely to automate and personalize real-world tasks.; Duration: Up to 2 hours and 11 minutes; This learning path has: 4 Courses, 1 Hands-on lab

Difficulty: Intermediate; Description: Learn how to assess which AI use cases will deliver measurable value to your business and how to prioritize them.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam