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: 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: Calculated Systems; Type: updated learning path; 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 6 hours and 2 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs

Difficulty: Beginner; Description: Discover how to use Microsoft 365 Copilot effectively, responsibly, and unlock new productivity in your daily work.; Duration: Up to 1 hour and 58 minutes; This learning path has: 9 Courses

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

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: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Difficulty: Beginner; Description: Welcome to this course on Data Governance, Ethics, and Risk Management in AI.; Duration: Up to 55 minutes; This learning path has: 4 Courses, 1 Exam

Author: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Difficulty: Intermediate; Description: This course introduces learners to the evolution of AI from static chatbots to autonomous agentic systems capable of reasoning, planning, and acting.; Duration: Up to 1 hour and 56 minutes; This learning path has: 3 Courses

Difficulty: Beginner; Description: Discover how to use Codex, the OpenAI coding assistant, to write, refactor, and review code efficiently and securely using clear, effective prompts.; Duration: Up to 51 minutes; This learning path has: 4 Courses, 1 Exam

Difficulty: Intermediate; Description: This course is for people already using generative AI who want to deepen their understanding of prompting, and the tools and frameworks that support outcomes.; Duration: Up to 2 hours and 40 minutes; This learning path has: 6 Courses, 2 Exams, 1 Hands-on lab