Training Library

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

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: 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: 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: 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: 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: 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: 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: 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

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: 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

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

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

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

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

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

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