Training Library

Author: Andrew Burchill; Difficulty: Beginner; Description: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 50 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 Hands-on labs

Author: Logan Rakai; Difficulty: Intermediate; Description: Use SQL in an Azure Databricks lab playground to answer exam questions about customer and country data.; Duration: Up to 2 hours and 30 minutes; Content Topics: Microsoft Azure; This learning path has: 1 Resource, 1 Exam, 1 Hands-on lab

Author: Farish Kashefinejad; Difficulty: Beginner; Description: Learn what data, machine learning, and AI are, how they power today’s workforce, and how these technologies function within a company's structure.; Duration: Up to 1 hour and 2 minutes; Content Topics: Machine Learning; This learning path has: 6 Courses

Difficulty: Beginner; Description: An overview of how to get your business internally aligned before starting a joint business plan, and why laying this groundwork is so important.; Duration: Up to 48 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: A guide to working with Amazon, examining details such as creating product listings, negotiating terms, and measuring your success.; Duration: Up to 45 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: In this course we explore some best practice advice on delivering tailored, seamless and optimized experiences to the customer.; Duration: Up to 54 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: This course explores the foundations of a successful customer engagement strategy in pharma and healthcare.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: This course explores the core elements of a customer engagement approach for pharma and healthcare.; Duration: Up to 46 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: This course explores what the internet and the web are, explains how they work and looks at the different ways consumers and businesses use them both.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: This course explores the capabilities that need to be developed in order to compete effectively in eCommerce, and new areas of innovation.; Duration: Up to 14 minutes; This learning path has: 1 Course

Difficulty: Intermediate; Description: An in-depth look at the vital importance of an outcome focussed brief and how to leverage it to achieve your goals across a range of marketing projects.; Duration: Up to 13 minutes; This learning path has: 1 Course

Difficulty: Intermediate; Description: A guide to designing, building and operationalizing a data strategy that unlocks the huge potential of data in achieving overall business goals.; Duration: Up to 47 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: An introduction to net revenue management: what it is, how it works, and the components of a strategy that delivers against business objectives.; Duration: Up to 44 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: An overview of eCommerce analytics: what it is and why it matters for brands, and how it can be implemented in order to drive business performance.; Duration: Up to 55 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: An introduction to the planning and collaboration required in order to ensure product launch success in a changing digital environment.; Duration: Up to 47 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: This course explores how brands should approach planning, executing and optimizing their retail promotion activities, with a focus on eCommerce.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Intermediate; Description: Discover practical tools and frameworks to refine strategies, enhance efficiency, and align performance marketing efforts with business goals.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams

Author: Guy Hummel; Difficulty: Intermediate; Description: This course shows you how to implement, manage, and monitor Azure storage, compute, networking, and identities.; Duration: Up to 38 hours and 47 minutes; Content Topics: Microsoft Azure; This learning path has: 26 Courses, 2 Lab challenges, 4 Exams, 15 Hands-on labs

Author: Alana Layton; Difficulty: Beginner; Description: Learn how to adopt and use extract, transform, and load (ETL) services on AWS by watching a blend of lectures, demonstrations, and hands-on labs.; Duration: Up to 4 hours and 53 minutes; Content Topics: Analytics, Databases; This learning path has: 6 Courses, 2 Hands-on labs

Author: Daniel Wood; Difficulty: Intermediate; Description: Prepare for the Storage domain of the Certified Kubernetes Administrator (CKA) exam in this lab with exam-like tasks and a solution guide.; Duration: Up to 1 hour; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps

Author: Bhupinder Singh; Difficulty: Advanced; Description: Practice defense in depth in Kubernetes using the security context security primitive in this lab.; Duration: Up to 40 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Detect, diagnose, and remedy Kubernetes cluster component failures.; Duration: Up to 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps

Difficulty: Beginner; Description: Welcome to this course on Information Security Management Essentials.; Duration: Up to 15 hours and 4 minutes; This learning path has: 23 Courses, 8 Exams

Author: Stefano Cascavilla; Type: free learning path; Difficulty: Intermediate; Description: Get a practical understanding of Data Build Tool, its features, and how to use them with this labs-based course!; Duration: Up to 15 hours and 50 minutes; Content Topics: Data build tool (dbt); This learning path has: 1 Lab challenge, 11 Hands-on labs