Introduction to Cloud Identity

Course Feature
  • Cost
    Free
  • Provider
    Coursera
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    10th Jul, 2023
  • Learners
    No Information
  • Duration
    11.00
  • Instructor
    Google Cloud Training
Next Course
3.0
0 Ratings
Introducing Cloud Identity! This 15-30 hour accelerated, one-week course is designed to help new admins get up to speed with managing users, controlling access to services, configuring security settings, and more. Through lessons, hands-on exercises, and knowledge checks, you'll be ready to take on the role of Cloud Identity Administrator. Sign up for a free 14 day trial and get started today!
Show All
Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [June 30th, 2023]

Introduction to Cloud Identity is an accelerated, one-week course designed to provide new Cloud Identity, Identity/Access Management/Mobile Device Management admins with the skills they need to get started. Through a series of introductory lessons, step-by-step hands-on exercises, Google knowledge resources, and knowledge checks, learners will gain the confidence to utilize the basic functions of the Admin Console to manage users, control access to services, configure common security settings, and much more.

At the end of the course, participants will be able to establish a Cloud Identity domain, add users, modify user permissions, add mobile devices, modify mobile management policy sets, navigate the Reports module, and apply different security protocols to the domain.

Before enrolling, participants should be prepared to sign up for a free 14 day trial of Cloud Identity and purchase a new domain or use one that they already own. The domain used is not included as part of the Cloud Identity trial.

[Applications]
Upon completion of this course, participants should be able to apply their knowledge of Cloud Identity to their organization or personal domain. They should be able to add users, modify user permissions, add mobile devices, modify mobile management policy sets, navigate the Reports module, and apply different security protocols to the domain. Additionally, participants should be familiar with the process of signing up for a free 14 day trial of Cloud Identity and how to cancel their account if they wish to end their Cloud Identity instance at the end of training.

[Career Path]
Job Position Path:Cloud Identity Administrator
Description:A Cloud Identity Administrator is responsible for managing and establishing security and access management best practices for their organization. They are responsible for setting up and managing user accounts, controlling access to services, configuring security settings, and more. They must be knowledgeable in the use of the Admin Console and be able to navigate the Reports module and run reports.

Development Trend:The demand for Cloud Identity Administrators is expected to grow as more organizations move to cloud-based solutions. As cloud technology continues to evolve, Cloud Identity Administrators will need to stay up to date on the latest trends and technologies in order to ensure their organization’s security and access management best practices are up to date. Additionally, as more organizations move to mobile-first solutions, Cloud Identity Administrators will need to be knowledgeable in the use of the Google Mobile Management module and be able to modify mobile management policy sets.

[Education Path]
The recommended educational path for learners interested in Google's machine learning is to pursue a degree in computer science or a related field. This degree should include courses in machine learning, artificial intelligence, data science, and software engineering. Additionally, learners should become familiar with the Google Cloud Platform and its various tools, such as Vertex AI, TensorFlow, SciKit Learn, Pytorch, and R.

The development trend for machine learning is to focus on automation and scalability. Automation is becoming increasingly important as machine learning models become more complex and require more data. Scalability is also important as machine learning models must be able to handle large datasets and be able to process them quickly. Additionally, machine learning models must be able to adapt to changing data and be able to learn from new data. Finally, machine learning models must be able to recognize and mitigate biases that may be present in the data.

Course Syllabus

Getting Started with Cloud Identity

In this module, we guide you through the Cloud Identity product, and walk you through setting up your account and Google Cloud Identity free trial to use during training.

User Lifecycle Management

In this module, you'll learn about provisioning and managing users in your Cloud Identity domain. The exercises cover how to add new users in various ways and how to configure user identities, settings, and privileges.

Security

In this module, you will walk you through some of the security features that are available to you as the Cloud Identity admin.

Device Management

In this module, you'll learn about Google mobile device management settings, understand how to enforce device policies over their mobile fleet using the Google Admin console, and learn how to prevent unauthorized access to an account from a lost mobile device.

Domains and Reports

In this module, you will learn how to do basic domain management and report generation from the Google Cloud Identity Admin Console.

Summary, Use Case Example, & Resources

This module serves as the summary of your training and also provides you with two case studies that will help you think about practical applications of Google Cloud Identity.
Show All
Recommended Courses
free cloud-computing-law-data-protection-and-cybersecurity-3724
Cloud Computing Law: Data Protection and Cybersecurity
2.0
Coursera 0 learners
Learn More
This course will cover the legal aspects of cloud computing, including the European Union's General Data Protection Regulation (GDPR) and the Network and Information Security (NIS) Directive. You will learn to identify controllers and processors, describe their roles and responsibilities, and understand how cloud customers and providers can comply with the GDPR and NIS Directive in practice. You will also learn about international transfers of personal data and the duties of cloud providers to notify security breaches and keep their services secure.
free aws-cloud-solutions-architect-3725
AWS Cloud Solutions Architect
4.8
Coursera 20,011 learners
Learn More
This professional certificate provides the knowledge and skills needed to start building a career in cloud architecture and prepare for the AWS Certified Solutions Architect - Associate exam. Through 15 hands-on labs, you’ll use the AWS Management Console to apply skills learned in the videos, such as designing cost and performance optimized solutions, creating and operating a data lake, and designing a 3-tier architecture using services like Amazon VPC, Amazon EC2, and Amazon RDS. The AWS Certified Solutions Architect – Associate certification is one of the top-paying IT certifications, and holders of the certification have credited it for their higher earnings, increased confidence, and increased influence among coworkers.
free ibm-full-stack-software-developer-3726
IBM Full Stack Software Developer
4.6
Coursera 29,280 learners
Learn More
This Professional Certificate from IBM will equip you with the skills and technical know-how to become a Full-Stack Cloud Native Application Developer. Through 10 courses, you will learn to build and deploy cloud-based applications, working with popular technologies such as HTML, CSS, JavaScript, Node.js, React, Cloud Native practices, DevOps, CI/CD, Containers, Docker, Kubernetes, OpenShift, Istio, Python, Databases, SQL, NoSQL, Django ORM, Bootstrap, Application Security, Microservices, and Serverless computing. You will develop a portfolio of hands-on projects and complete a Capstone Project to demonstrate your skills. Upon completion, you can earn college credits and be ready to start a new career in an in-demand area.
free microsoft-power-platform-fundamentals-3727
Microsoft Power Platform Fundamentals
1.5
Coursera 0 learners
Learn More
By the end of this course, you will be able to create simple Power Apps, connect data with Microsoft Dataverse, build a Power BI Dashboard, automate a process with Power Automate, and build a chatbot with Power Virtual Agents. You will also be able to describe the business value of Power Platform, identify the core components of Power Platform, demonstrate the capabilities of Power BI, and describe the capabilities of Power Apps.
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet