Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Digital Transformation Using AI/ML with Google Cloud Specialization

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Digital Transformation Using AI/ML with Google Cloud Specialization

Instructor: Google Cloud Training

17,191 already enrolled

Included with Learn more

4 course series

Get in-depth knowledge of a subject

from 7,602 reviews of courses in this program

Beginner level

No prior experience required

4 weeks to complete

at 10 hours a week

4 course series

Get in-depth knowledge of a subject

from 7,602 reviews of courses in this program

Beginner level

No prior experience required

4 weeks to complete

at 10 hours a week

What you'll learn

Determine if business transformation is right for your team based on the evaluation of core cloud business drivers.
Build a custom briefing document to share with leadership, technical teams, or partners by utilizing the templates, guides, and resource links provided in the supplementary student workbook.
Identify solutions to overcome legacy system and application challenges by using cloud technology when choosing between maintaining aging IT systems and investing in new products and services.

Skills you'll gain

Tools you'll learn

Google Cloud Platform

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from Google Cloud

Specialization - 4 course series

This series of courses begins by introducing fundamental Google Cloud concepts to lay the foundation for how businesses use data, machine learning (ML), and artificial intelligence (AI) to transform their business models.

The specialization is intended for anyone interested in how the use of AI and ML for the cloud, and especially for data, creates opportunities and requires change for businesses. No previous experience with ML, programming, or cloud technologies is required. The courses do not include any hands-on technical training.

Applied Learning Project

Modernize Infrastructure and Applications with Google Cloud

Course 1, 1 hour

What you'll learn

Define cloud migration terminology and explain the value of shifting from traditional hardware to cloud computing models.
Explore the differences between virtual machine (VM), container, and serverless computing architectures.
Examine strategies for managing data and compute workloads across hybrid and multicloud distributed environments.
Compare traditional and modern cloud app development, and identify tools for rehosting legacy apps.

Skills you'll gain

Category: Cloud Computing

Category: Multi-Cloud

Category: Cloud Management

Category: Cloud-Native Computing

Category: Infrastructure Architecture

Category: Cloud Infrastructure

Category: Application Development

Category: Application Programming Interface (API)

Category: Serverless Computing

Category: IT Infrastructure

Category: Cloud Computing Architecture

Category: Hybrid Cloud Computing

Category: Google Cloud Platform

Category: Cloud Applications

Innovating with Google Cloud Artificial Intelligence

Course 2, 2 hours

What you'll learn

Explore the fundamental concepts of artificial intelligence, machine learning, generative AI, and agentic AI.
Identify the specific business problems machine learning can solve, along with the importance of high quality data and responsible AI practices.
Describe the four distinct paths to building machine learning models on Google Cloud, and the AI Hypercomputer architecture that supports them.
Examine the strategic tradeoffs around speed, differentiation, expertise, and effort required to choose the right AI solution for an organization.

Skills you'll gain

Category: Artificial Intelligence and Machine Learning (AI/ML)

Category: Data Quality

Category: Cloud Infrastructure

Category: Agentic Workflows

Category: Managed Services

Category: Responsible AI

Category: Model Deployment

Category: Google Cloud Platform

Category: Analytics

Category: Model Training

Category: AI literacy

Category: Generative AI

Category: Data Processing

Category: Artificial Intelligence

Category: Business Transformation

Category: Agentic systems

Category: Machine Learning

Digital Transformation with Google Cloud

Course 3, 2 hours

What you'll learn

Explain why and how the cloud revolutionizes businesses.
Explain general cloud concepts.
Discuss the benefits and tradeoffs of using Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Skills you'll gain

Category: General Networking

Category: Network Infrastructure

Category: Hybrid Cloud Computing

Category: Cloud Services

Category: Cloud Computing

Category: Digital Transformation

Category: Business Transformation

Category: Google Cloud Platform

Category: Public Cloud

Category: Cloud Deployment

Category: Computer Networking

Category: Cloud Infrastructure

Category: Infrastructure As A Service (IaaS)

Responsible AI: Applying AI Principles with Google Cloud

Course 4, 2 hours

What you'll learn

Explain the business case for responsible AI.
Identify ethical considerations with AI using issue spotting best practices.
Describe how Google developed and put their AI Principles into practice and leverage their lessons learned.
Adopt a framework for how to operationalize responsible AI in your organization.

Skills you'll gain

Category: Artificial Intelligence

Category: Responsible AI

Category: Business Ethics

Category: Ethical Standards And Conduct

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google Cloud Training

Google Cloud

2,346 Courses4,823,477 learners

Offered by

Google Cloud

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Learner reviews across Digital Transformation Using AI/ML with Google Cloud

avg. across 4 courses

5 stars
80.04%
4 stars
15.42%
3 stars
2.84%
2 stars
0.79%
1 star
0.88%

Course: Modernize Infrastructure and Applications with Google Cloud

5.0

Reviewed on Jun 29, 2021

After taking this course I learnt how to modernize IT infrastructure and applications. I understand different enterprise cloud strategies.

Course: Innovating with Google Cloud Artificial Intelligence

5.0

Reviewed on Jul 15, 2024

The course did exactly what I expected. Gave an intro to AI and Machine Learning and educated the end user on what products Google offers.

Course: Digital Transformation with Google Cloud

5.0

Reviewed on Jul 23, 2021

Simple contents with excellent way of describing GC-DigiTran futuristic way of Business Landscapes and the predictive or pro-active behavior of Users or Customers

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