Training Library

Author: Danny Jessee; Difficulty: Advanced; Description: Train to prepare for the AWS Certified DevOps Engineer - Professional Certification (DOP-C02) exam, released in March 2023!; Duration: Up to 85 hours and 3 minutes; Content Topics: Amazon Web Services; This learning path has: 12 Courses, 14 Lab challenges, 3 Resources, 14 Exams, 14 Hands-on labs

Author: Danny Jessee; Difficulty: Advanced; Description: Prepare for the updated AWS Certified Advanced Networking – Specialty (ANS-C01) certification exam with this study guide.; Duration: Up to 39 hours and 43 minutes; Content Topics: Networking, Security; This learning path has: 8 Courses, 7 Lab challenges, 2 Exams, 10 Hands-on labs

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the new AWS Certified Data Engineer - Associate Certification (DEA-C01).; Duration: Up to 55 hours and 42 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified CloudOps Engineer - Associate (SOA-C03) certification.; Duration: Up to 67 hours and 18 minutes; Content Topics: Amazon Web Services; This learning path has: 1 Resource, 8 Courses, 9 Lab challenges, 8 Exams, 21 Hands-on labs

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

Difficulty: Intermediate; Description: Explore the potential of AI and its capabilities around content creation, personalization, automating repetitive tasks and how they're transforming marketing.; Duration: Up to 46 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: A guide to using AI as part of your content strategy, covering the significant benefits and key considerations around the technology.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams

Author: QA; Difficulty: Beginner; Description: Learn all about artificial intelligence (AI) and how it can help you in the workplace.; Duration: Up to 1 hour and 35 minutes; Content Topics: Machine Learning; This learning path has: 6 Courses, 2 Exams

Difficulty: Intermediate; Description: In this course, we explore how businesses can implement AI-powered automation to help them become more agile and drive innovation and growth.; Duration: Up to 58 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: An introduction to the key principles of Agile working, what it helps a business to achieve, and its different methodologies.; Duration: Up to 1 hour and 2 minutes; This learning path has: 6 Courses, 2 Exams

Difficulty: Beginner; Description: In this course, we delve into the latest advancements and trends in AI technology and the potential gains for businesses that adopt them.; Duration: Up to 16 minutes; This learning path has: 1 Course

Difficulty: Intermediate; Description: With a focus on driving success within marketing, this course unpacks which AI analytics tools and techniques to harness.; Duration: Up to 47 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: A comprehensive guide to leveraging AI for segmentation and personalization strategies, enhancing consumer targeting at scale.; Duration: Up to 50 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: This course explores tools and techniques for leveraging AI for behavioral analysis, while addressing ethical concerns and implementation challenges.; Duration: Up to 56 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: In this course, we look at how organizations can plan and implement AI personalization strategies and tactics to maximize loyalty, retention, and conversion.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: Learn best practice for leveraging AI-driven hyper-personalization in a responsible, ethical way.; Duration: Up to 1 hour and 15 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: An exploration of the essential data types and methodologies required for creating and refining effective loyalty programs.; Duration: Up to 51 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: A guide to initiating AI projects, measuring effectively, and managing organizational cultural changes to drive business growth.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: This is the digital module for ​AI Literacy: Safe and Compliant AI Use for All Staff​.; Duration: Up to 2 hours and 8 minutes; This learning path has: 6 Courses, 1 Exam

Author: Farish Kashefinejad; Difficulty: Intermediate; Description: This course introduces the foundations of AI agent design by starting with the structure of a single agent.; Duration: Up to 3 hours and 4 minutes; Content Topics: Artificial Intelligence; This learning path has: 7 Courses, 4 Exams

Author: Stuart Scott; Difficulty: Beginner; Description: In this lesson you will be introduced to the fundamental generative AI services on AWS; Duration: Up to 2 hours and 23 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 5 Courses

Difficulty: Intermediate; Description: Learn how to assess which AI use cases will deliver measurable value to your business and how to prioritize them.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam

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

Author: QA; Difficulty: Beginner; Description: This lab will walk you through steps needed to create a local hardhat node. We will also deploy a smart contract there and will interact with it.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps