AI & Machine Learning

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of documentation.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use AI for code reviews.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create and customize a generative AI workflow using Amazon Bedrock Flows in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, test, and publish prompts with Amazon Bedrock Prompt Management in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

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

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: Intermediate; Duration: 13 minutes and 20 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units

Difficulty: Intermediate; Duration: 14 minutes and 24 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units

Difficulty: Intermediate; Duration: 10 minutes and 33 seconds; Content Topics: Artificial Intelligence; This course has: 5 Units

Author: Lee Mucciarone; Difficulty: Beginner; Duration: 25 minutes and 33 seconds; Content Topics: Business Suites, Artificial Intelligence; This course has: 6 Units

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 34 minutes and 13 seconds; Content Topics: Machine Learning; This course has: 2 Units

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: QA; Difficulty: Intermediate; Description: This lab demonstrates how to create apps with GitHub Copilot.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps

Difficulty: Advanced; Description: Build reusable AI systems, design a personal AI assistant, and decide when grounding and advanced prompting add real value at work.; Duration: Up to 2 hours and 7 minutes; This learning path has: 4 Courses, 1 Hands-on lab

Difficulty: Intermediate; Description: Discover how AI-powered search is changing marketing. Learn what it is, why it matters, and how to keep your brand visible in an AI-driven world.; Duration: Up to 1 hour and 9 minutes; This learning path has: 3 Courses, 2 Exams

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

Difficulty: Intermediate; Description: Discover how to equip agents with tools, design ethical agentic AI systems, and apply governance for safe, responsible automation.; Duration: Up to 4 hours and 1 minute; This learning path has: 4 Courses, 1 Exam, 2 Hands-on labs

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 49 minutes; This learning path has: 4 Courses, 1 Exam

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; Duration: 40 minutes and 41 seconds; Content Topics: Development; This course has: 14 Units