Services

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: Serverless, Containers, Machine Learning; This hands-on lab has: 6 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Ollama to run, manage, and customize Large Language Models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Management, Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to call an Amazon Bedrock model from an Amazon Aurora MySQL database in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 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: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you will use Vertex AI's vector search capabilities to recommend similar products in a retail setting.; Duration: Up to 1 hour and 15 minutes; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create and configure a model monitor schedule in this hands on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to setup and configure an Amazon Q Business application to boost your business productivity.; Duration: Up to 1 hour and 30 minutes; Content Topics: Identity and Access Management; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage the Streamlit framework to build interactive machine learning and data science applications on AWS in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Storage, Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Lean how to use Amazon DocumentDB's vector search functionality in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Databases; This hands-on lab has: 4 Lab steps

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: 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

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: Configure an Amazon Bedrock Guardrail to ensure safe, responsible interactions with your AI applications in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 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: Learn how to use an Amazon Athena Notebook to perform data quality checks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

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

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Automatic Model HyperParameter Tuning to accelerate machine learning model development in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps