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.
Digital Transformation Using AI/ML with Google Cloud Specialization
Digital Transformation Using AI/ML with Google Cloud Specialization
Instructor: Google Cloud Training
Included with 
Get in-depth knowledge of a subject
(551 reviews)
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(551 reviews)
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
- Public Cloud
- Hybrid Cloud Computing
- Cloud Infrastructure
- Cloud Computing
- Cloud-Native Computing
- Machine Learning
- Containerization
- Responsible AI
- Multi-Cloud
- Business Transformation
- Cloud Services
- Technology Strategies
- Data Ethics
- Google Cloud Platform
- Data Strategy
- Data Governance
- Serverless Computing
- Digital Transformation
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
11 practice exercises
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 - 3 course series
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
Software As A Service, Digital Transformation, Cloud Infrastructure, Cloud Computing, Infrastructure As A Service (IaaS), Business Transformation, Multi-Cloud, Cloud Services, Technology Strategies, Google Cloud Platform, Cloud Security, Platform As A Service (PaaS), Public Cloud, and Hybrid Cloud Computing
What you'll learn
Understand the role that cloud modernization and migration plays in an organization's digital transformation.
Examine available options to run compute workloads in the cloud.
Explore the advantages of using containers, serverless computing, and APIs in application modernization.
Learn about the business reasons to choose hybrid or multi-cloud strategies, and how GKE Enterprise can help support these strategies.
Skills you'll gain
Containerization, Application Programming Interface (API), Multi-Cloud, Kubernetes, Hybrid Cloud Computing, Serverless Computing, Cloud Computing, Microservices, Google Cloud Platform, Cloud-Native Computing, Cloud Infrastructure, Virtual Machines, Application Development, Digital Transformation, and Technology Strategies
What you'll learn
Explore common machine learning use cases implemented by businesses.
Assess the feasibility of your own ML use case and its ability to meaningfully impact your business.
Identify the requirements to build, train, and evaluate an ML model.
Define data characteristics and biases that affect the quality of ML models and recognize key considerations for managing ML projects.
Skills you'll gain
Machine Learning, Google Cloud Platform, Responsible AI, Data Strategy, Business Analysis, Business Priorities, Feasibility Studies, AI Product Strategy, Data Ethics, Data Governance, Project Management Life Cycle, and Innovation
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
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Frequently asked questions
This Specialization consists of about 30 hours of content.
No prior knowledge is needed.
It is recommended that you take the courses in order.
More questions
Financial aid available,