Expired

Google HR Strategies: Learn from the World’s #1 Company

FREE $19.99 GET THIS DEAL

Requirements

  • Interest in HR, People Operations, or Talent Management—no prior HR experience is required.
  • Basic understanding of recruitment, onboarding, and performance management is helpful but not necessary.
  • A willingness to explore Google’s HR methodologies, including structured interviews and OKRs.
  • Familiarity with corporate culture and employee engagement concepts can be beneficial.
  • A desire to implement data-driven HR practices, similar to Google’s People Operations approach.
  • Ability to analyze and apply case studies from Google’s HR experiments (e.g., Project Oxygen, Project Aristotle).
  • Curiosity about HR automation, AI in recruitment, and HR analytics, as used at Google.
  • An open mind to adopt innovative HR practices, including Google’s employee experience strategies.
  • No special software is required—all course materials, case studies, and exercises are provided.

Description

Ever wondered how Google became a magnet for top talent? Now you can learn their exact HR playbook—step by step.

Google is consistently ranked among the best employers in the world—and it’s not by chance. Behind the scenes is one of the most advanced, data-driven, and people-first HR systems ever created.

In this course, you’ll gain exclusive insights into how Google hires, motivates, develops, and retains high-performing teams, based on real-world practices, not theory.

Designed for HR professionals, recruiters, business leaders, and strategists, this program reveals the systems, philosophies, and tools Google uses to stay at the top—and how you can apply them in your own organization.

Created by Mike Pritula, a global HR expert with 20 years of experience and 150+ successful online courses, this course distills the most powerful lessons from Google’s People Operations model.

 

Who this course is for:

  • HR Professionals & People Operations Managers – Those looking to implement Google-style HR strategies, data-driven decision-making, and OKRs in their organizations.
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