Author: Danny Jessee; Difficulty: Beginner; Description: Train to prepare for the AWS Certified AI Practitioner (AIF-C01) exam; Duration: Up to 31 hours and 4 minutes; Content Topics: Amazon Web Services; This learning path has: 40 Courses, 1 Exam, 10 Hands-on labs

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 23 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 5 Courses

Difficulty: Intermediate; Description: A guide to using AI as part of your content strategy, covering the significant benefits and key considerations around the technology.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: Explore the potential of AI and its capabilities around content creation, personalization, automating repetitive tasks and how they're transforming marketing.; Duration: Up to 46 minutes; This learning path has: 5 Courses, 2 Exams

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 46 minutes; This learning path has: 5 Courses, 2 Exams

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

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: 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: 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 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: 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: 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: 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: 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

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

Author: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps