Training Library

Difficulty: Intermediate; Description: This course explores how to embed journey mapping principles, and the importance of leveraging digital technology and data.; Duration: Up to 47 minutes; This learning path has: 4 Courses, 2 Exams

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

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to interact with PostgreSQL flexible server using a python based Django app in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 4 Lab steps

Author: Parveen Singh; Type: updated hands-on lab; Difficulty: Beginner; Description: Learn how to deploy static websites on Azure Static Web Apps using Static Web Apps CLI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Web; This hands-on lab has: 4 Lab steps

Author: Ben Lambert; Difficulty: Advanced; Description: The ability to effectively debug a Python application is a valuable skill for Python developers. This lab provides and opportunity to practice debugging a web-based application.; Duration: Up to 3 hours; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Farish Kashefinejad; Difficulty: Beginner; Description: In this lab, you will create api routes for an express application; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Jeremy Cook; Difficulty: Intermediate; Description: Please use these labs to further reinforce learning regarding EBS.; Duration: Up to 5 hours and 10 minutes; Content Topics: Storage; This learning path has: 5 Hands-on labs

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: 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

Difficulty: Intermediate; Description: This course covers essential learning for creating single-agent systems and progressing to multi-agent systems.; Duration: Up to 3 hours and 57 minutes; Content Topics: Artificial Intelligence; This learning path has: 5 Courses, 1 Exam, 2 Hands-on labs

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

Difficulty: Intermediate; Description: Advance your DevOps mindset with SRE Practitioner: tools and techniques for secure, proactive planning, engineering and testing.; Duration: Up to 10 hours and 8 minutes; This learning path has: 3 Courses, 3 Exams, 2 Hands-on labs

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: 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

Difficulty: Beginner; Description: Learn practical tools and advice to feel more confident when engaging with and influencing stakeholders.; Duration: Up to 41 minutes; This learning path has: 4 Courses, 2 Exams

Author: Danny Jessee; Difficulty: Intermediate; Description: In this course, you’ll learn how to optimize AWS compute and autoscaling for cost efficiency using right-sizing, pricing models, and smart scaling strategies.; Duration: Up to 2 hours and 34 minutes; Content Topics: Compute; This learning path has: 5 Courses, 1 Hands-on lab

Author: Deniz Yilmaz; Difficulty: Intermediate; Description: Learn how to reduce costs and minimize environmental impact across AWS storage and database services like Amazon S3, EBS, Glacier, RDS, DynamoDB, and Redshift.; Duration: Up to 2 hours and 54 minutes; Content Topics: Amazon Web Services; This learning path has: 5 Courses, 1 Hands-on lab

Difficulty: Beginner; Description: An introduction to the four types of data analytics and their role in decision-making.; Duration: Up to 1 hour and 10 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Beginner; Description: How to create strong business questions for data analysis.; Duration: Up to 56 minutes; This learning path has: 3 Courses, 2 Exams

Difficulty: Beginner; Description: The role of stakeholders in a data analytics project.; Duration: Up to 59 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Beginner; Description: The importance of good data governance and ethics.; Duration: Up to 48 minutes; This learning path has: 3 Courses, 2 Exams

Author: Alana Layton; Difficulty: Intermediate; Description: This course will walk you through training, evaluating, fine-tuning, and deploying machine learning models on Amazon SageMaker.; Duration: Up to 10 hours and 25 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 4 Hands-on labs

Author: Danny Jessee; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 10 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 4 hours and 59 minutes; Content Topics: Management, Security; This learning path has: 9 Courses, 1 Resource, 2 Hands-on labs