Training Library

Learn cloud computing, test your cloud skills, and understand how to approach and solve business problems with real cloud scenarios across Amazon Web Services, Microsoft Azure, Google Cloud, DevOps, and other cloud ecosystem services. New content and updates are added every month.

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COURSE
NEW
Building AI Agents - Coming soon | GAIAE |
Beginner
Duration: 1 minute
Type: new course; Difficulty: Beginner; Duration: 1 minute; This course has: 1 Unit
COURSE
NEW
LLMOps with Python - Coming soon | GAIAE |
Beginner
Duration: 1 minute
Type: new course; Difficulty: Beginner; Duration: 1 minute; This course has: 1 Unit
COURSE
NEW
Getting ready for your Generative AI and Agent Engineering pathway | GAIAE |
Beginner
Duration: 6 minutes
Type: new course; Difficulty: Beginner; Duration: 6 minutes; This course has: 2 Units

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HANDS-ON LAB
Logan Rakai
Applied OpenAI Prompt Engineering
Intermediate
Duration: Up to 30 minutes
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
HANDS-ON LAB
Andrea Giussani
PySpark - How to build a Machine Learning Pipeline
Beginner
Duration: Up to 1 hour
Author: Andrea Giussani; Difficulty: Beginner; Description: In this hands-on lab, you will master your knowledge of PySpark, a very popular Python library for big data analysis and modeling.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Andrea Giussani
Machine Learning with scikit-learn
Beginner
Duration: Up to 1 hour
Author: Andrea Giussani; Difficulty: Beginner; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the median values of owner-occupied housing in USD 1000 in the Boston dataset.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Andrew Burchill
Moderating Content with Amazon Bedrock
Beginner
Duration: Up to 1 hour
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
HANDS-ON LAB
Ana Rojo Echeburua
A Practical Introduction to Language Models
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 2 of the Building AI Agents course.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Andrew Burchill
Deploying Large Language Models Using Ray Serve
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the scalable Ray Serve framework to performantly deploy a large language model in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jun Fritz
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS Lambda
Intermediate
Duration: Up to 1 hour and 15 minutes
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
HANDS-ON LAB
Logan Rakai
Introduction to the OpenAI Chat Completions API
Beginner
Duration: Up to 30 minutes
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
HANDS-ON LAB
Jun Fritz
Embedding Documents With LangChain and Amazon Bedrock
Intermediate
Duration: Up to 1 hour
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
HANDS-ON LAB
Logan Rakai
Predicting Time-Series Data With Amazon Forecast
Beginner
Duration: Up to 1 hour and 40 minutes
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
HANDS-ON LAB
Jun Fritz
Building a PDF RAG Chatbot Powered by LangChain and Amazon Bedrock
Intermediate
Duration: Up to 1 hour and 30 minutes
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
HANDS-ON LAB
Ana Rojo Echeburua
Building Single Agent Systems
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 3 of the Building AI Agents course.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Equipping Agents with Tools
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 5 of the Building AI Agents course.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Working with Multiple Agents
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 4 of the Building AI Agents course.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text analysis and LLMs - transformer model architecture
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore transformer model architecture in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text analysis and LLMs - prompt engineering
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore prompt engineering in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text Analysis and LLMs - Advanced Text Generation
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore advanced text generation tools and techniques in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text analysis and LLMs - using pre-trained language models
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore the use of pre-trained language models in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text Analysis and LLMs - Tokens and Embeddings
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore tokens and embeddings in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text Analysis and LLMs - Overview
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore an overview of language models in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Jun Fritz
Generating Custom Images and Variations with Amazon Bedrock
Intermediate
Duration: Up to 40 minutes
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
HANDS-ON LAB
Jun Fritz
Implementing Conversational Memory Using LangChain and Amazon DynamoDB
Intermediate
Duration: Up to 45 minutes
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
HANDS-ON LAB
Jun Fritz
Working With Conversational Memory and the Amazon Bedrock Converse API
Beginner
Duration: Up to 30 minutes
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
HANDS-ON LAB
Jun Fritz
Developing Chains and Runnables With the LangChain Expression Language (LCEL)
Beginner
Duration: Up to 45 minutes
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