Autonomous Identity Essentials (AI-100)

Ping Identity is starting to rebrand all products and courses under the Ping Identity brand. The content will remain the same and our curriculum developers will continue to prioritize courses that need development.


Description

The aim of this course is to showcase the key features and capabilities of the versatile and powerful Identity Analysis and Prediction solution in an Autonomous Identity environment. It provides the student with the knowledge and confidence to manage their own environment. It is accepted that this course is not able to demonstrate all the features and capabilities of the access management component of Autonomous Identity. Further information and guidance can be found in the documentation and knowledge base in the online repositories at: Backstage https://backstage.forgerock.com


Target Audiences

The target audiences for this course include:

  • Autonomous Identity Administrators
  • Technical users who work with Autonomous Identity:
    • Evaluators
    • Integrators
    • Consultants
    • Architects
    • Administrators


Objectives

Upon completion of this course, you should be able to:

  • Define what Autonomous Identity is and present the main characteristics
  • Describe and showcase the UI functionality, depending on the user type
  • Showcase how Autonomous Identity analyzes the enterprise identities
  • Describe the Autonomous Identity architecture and explain the installation steps


Prerequisites

The following are the prerequisites for successfully completing this course:

  • Awareness of the role of identity governance
  • Identity and access management knowledge
  • Basic Linux system administration skills


Duration

Approximately 2 hours

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Course Contents

Module 1: Introducing Autonomous Identity

Define what Autonomous Identity is and present the main characteristics:

  • Describe Autonomous Identity
  • Describe the business value and use cases
  • Describe the Autonomous Identity algorithm
  • Explore the UI on a high level
  • Demonstration of the Autonomous Identity UI


Module 2: Using Autonomous Identity

Describe and showcase the UI functionality, depending on the user type:

  • Explain the Autonomous Identity analytics pipeline
  • Explore the Autonomous Identity user types
  • Demonstration of how to use Autonomous Identity user types
  • Describe how to manage an Autonomous Identity user
  • Demonstration of how to manage an Autonomous Identity user


Module 3: Analyzing Enterprise Identities

Showcase how Autonomous Identity analyzes the enterprise identities:

  • Configure entity definitions
  • Upload the data into Autonomous Identity
  • Demonstration of how to design, prepare, and upload the data
  • Configure the analytics
  • Describe the Autonomous Identity jobs
  • Understand the results and take action
  • Demonstration of how to run jobs on the UI


Module 4: Planning a Deployment

Describe the Autonomous Identity architecture and explain the installation steps:

  • Describe the Autonomous Identity architecture
  • Prepare the machines
  • Configure and install Autonomous Identity
  • Demonstration of the main installation steps
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