AI & Machine Learning

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: 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: 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

Difficulty: Intermediate; Description: A guide to initiating AI projects, measuring effectively, and managing organizational cultural changes to drive business growth.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams

Author: Alana Layton; Difficulty: Advanced; Description: Gain an understanding of the AWS services that allow you to integrate with LLMs and FMs, including Amazon Q for Business, Amazon Q Developer and Amazon Bedrock; Duration: Up to 10 hours and 14 minutes; Content Topics: Amazon Web Services; This learning path has: 10 Courses, 5 Hands-on labs

Author: Danny Jessee; Difficulty: Intermediate; Description: Discover the benefits of leveraging Amazon Q in your enterprise, and understand how this gen ai-powered agent can streamline tasks, solve problems, and more; Duration: Up to 4 hours and 46 minutes; Content Topics: Artificial Intelligence; This learning path has: 6 Courses, 2 Hands-on labs

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to invoke Amazon Bedrock models using the Amazon Bedrock API and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

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; This hands-on lab has: 1 Lab step

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to use AWS SAM, Amazon Bedrock, and LangChain to deploy an automated document embedding application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Analyze household energy consumption and go from raw data to accurate forecasts using the built-in algorithms provided by Amazon Forecast in this hands-on lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Stuart Scott; Difficulty: Intermediate; Description: If you need to build Gen AI apps, Amazon Bedrock has you covered. Learn how to build scalable and secure applications using different foundation models in AWS; Duration: Up to 10 hours and 28 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses, 7 Hands-on labs

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to deploy a PDF Chatbot using retrieval-augmented generation (RAG), LangChain, and AWS services in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Parveen Singh; Difficulty: Advanced; Description: Learn how to analyze and moderate text with the Azure AI Content Safety service using Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps

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: Daniel Mease; Difficulty: Beginner; Description: Everything you need to get started working with Google Generative AI products; Duration: Up to 1 hour and 10 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses

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: Calculated Systems; Difficulty: Intermediate; Description: This course provides an intro to the Dialogflow service and will get you up and running with building your own chatbots.; Duration: Up to 4 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs

Author: Farish Kashefinejad; Difficulty: Intermediate; Description: This course introduces the foundations of AI agent design by starting with the structure of a single agent.; Duration: Up to 3 hours and 4 minutes; Content Topics: Artificial Intelligence; This learning path has: 7 Courses, 4 Exams

Difficulty: Intermediate; Description: In this lab course, you will use python to learn to design and develop intelligent single and multi-agent systems.; Duration: Up to 12 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 8 Hands-on labs

Author: Alana Layton; Difficulty: Beginner; Description: Looking to get started with AI code generation? With this content, you'll learn the basics of Amazon Q Developer, including what it is and how to use it.; Duration: Up to 1 hour and 48 minutes; Content Topics: Amazon Web Services; This learning path has: 3 Courses, 1 Hands-on lab

Difficulty: Beginner; Description: Learn best practice for leveraging AI-driven hyper-personalization in a responsible, ethical way.; Duration: Up to 1 hour and 15 minutes; This learning path has: 5 Courses, 2 Exams

Author: Logan Rakai; Difficulty: Intermediate; Description: This lab provides an interactive environment to explore the security implications of applications using Large Language Models (LLMs) and how to mitigate potential risks.; Duration: Up to 2 hours; Content Topics: Cyber Security; This simulab has: 1 Lab step

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 Lab steps