Training Library

Author: QA; Difficulty: Beginner; Description: This Lab experience provides a step-by-step guide on how to launch a Virtual Code Environment where you will attempt to complete all the following lab steps.; Duration: Up to 1 hour; This hands-on lab has: 1 Lab step

Author: QA; Difficulty: Beginner; Description: In this lab, you will learn how variables are declared in Solidity programming languages and how to use them.; Duration: Up to 1 hour; This hands-on lab has: 1 Lab step

Type: new learning path; Difficulty: Intermediate; Description: This course will help you to lead AI transformation with confidence, while inspiring innovation, trust, and responsible experimentation in your teams.; Duration: Up to 1 hour and 29 minutes; This learning path has: 6 Courses, 1 Exam

Author: QA; Difficulty: Beginner; Description: In this lab, you will learn how to use user defined functions in Solidity programming language.; Duration: Up to 1 hour; This hands-on lab has: 1 Lab step

Author: QA; Difficulty: Beginner; Description: In this lab, you will learn how to use Data Structures in Solidity programming language.; Duration: Up to 1 hour; This hands-on lab has: 1 Lab step

Author: QA; Difficulty: Beginner; Description: In this lab, you will learn about different solidity data types and how to declare them.; Duration: Up to 1 hour; 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: Ben Lambert; Difficulty: Beginner; Description: Build upon your Python skills by creating a console based blackjack game. This lab demonstrates how the Python language is used to create and control objects. It leverages a wide range of Python's functionality such as classes, functions, loops, conditionals, built-in objects, doctests, and more.; Duration: Up to 3 hours; Content Topics: Development; 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: 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: QA; Difficulty: Beginner; Description: This lab will walk you through steps needed to create and customise your first ERC-20 smart contract; Duration: Up to 1 hour; This hands-on lab has: 1 Lab step

Author: QA; Difficulty: Beginner; Description: In this lab, you will continue working with ERC20 contract. Your task will be to extend current functionality with Guard Check to make sure only Smart Contract user can access certain functionality.; Duration: Up to 1 hour; This hands-on lab has: 1 Lab step

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

Author: Andrew Larkin; Difficulty: Advanced; Description: Take your exam preparation to the next level with hands-on lab challenges; Duration: Up to 27 hours and 35 minutes; Content Topics: Amazon Web Services; This learning path has: 22 Lab challenges, 2 Hands-on labs

Difficulty: Intermediate; Description: Discover how to build AI-ready organizations: assess data, tech, and strategy to drive responsible, scalable, and effective AI adoption.; Duration: Up to 50 minutes; This learning path has: 6 Courses, 1 Exam

Difficulty: Intermediate; Description: Discover the key protocols that enable AI agents to communicate, collaborate, and operate safely across platforms and industries.; Duration: Up to 43 minutes; This learning path has: 3 Courses, 1 Exam

Difficulty: Intermediate; Description: Discover how to turn AI pilots into a proven business asset and scale responsibly with clear KPIs, governance, and continuous improvement.; Duration: Up to 50 minutes; This learning path has: 4 Courses, 1 Exam

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: 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: 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 covers Text Analysis and LLMs with Python Labs.; Duration: Up to 14 hours and 30 minutes; This learning path has: 9 Hands-on labs

Type: new learning path; Difficulty: Intermediate; Description: TBC; Duration: Up to 47 minutes; Content Topics: Artificial Intelligence; This learning path has: 3 Courses, 1 Exam

Author: Calculated Systems; Difficulty: Beginner; Description: This course is a gentle introduction and for those who want to gain entry-level experience in machine learning and artificial intelligence.; Duration: Up to 3 hours and 15 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 2 Exams, 1 Hands-on lab