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
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Digital Transformation Using AI/ML with Google Cloud Specialization
Instructor: Google Cloud Training
11,497 already enrolled
Included with 
Get in-depth knowledge of a subject
(548 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
(548 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
- Multi-Cloud
- Digital Transformation
- IT Management
- Cloud Computing
- Applied Machine Learning
- Serverless Computing
- Containerization
- Machine Learning
- Public Cloud
- Cloud Infrastructure
- Hybrid Cloud Computing
- Cloud Services
- Cloud-Native Computing
- Technology Strategies
- Technical Management
- Data Ethics
- Google Cloud Platform
- Business 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
Category: Software As A Service
Category: Infrastructure As A Service (IaaS)
Category: Digital Transformation
Category: Cloud Infrastructure
Category: Cloud Computing
Category: Cloud Services
Category: Google Cloud Platform
Category: Multi-Cloud
Category: Platform As A Service (PaaS)
Category: Cloud Security
Category: Technology Strategies
Category: Business Transformation
Category: Public Cloud
Category: 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
Category: Kubernetes
Category: Multi-Cloud
Category: Hybrid Cloud Computing
Category: Containerization
Category: Microservices
Category: Application Programming Interface (API)
Category: Serverless Computing
Category: Cloud Computing
Category: Virtual Machines
Category: Cloud Infrastructure
Category: Application Development
Category: Google Cloud Platform
Category: Cloud-Native Computing
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
Category: Machine Learning
Category: Google Cloud Platform
Category: Applied Machine Learning
Category: Feasibility Studies
Category: Data Strategy
Category: Technical Management
Category: Business Ethics
Category: Innovation
Category: Business Analysis
Category: Data Ethics
Category: Data Governance
Category: IT Management
Category: Project Management Life Cycle
Category: Artificial Intelligence and Machine Learning (AI/ML)
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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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,