Duke University
Building Cloud Computing Solutions at Scale Specialization
Duke University

Building Cloud Computing Solutions at Scale Specialization

Launch Your Career in Cloud Computing. Master strategies and tools to become proficient in developing data science and machine learning solutions in the Cloud

Noah Gift

Instructor: Noah Gift

Included with Coursera Plus

Get in-depth knowledge of a subject
4.4

(293 reviews)

Intermediate level

Recommended experience

6 months to complete
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.4

(293 reviews)

Intermediate level

Recommended experience

6 months to complete
at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build websites involving serverless technology and virtual machines, using the best practices of DevOps

  • Create Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: AWS, Azure or GCP

  • Apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions

Details to know

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Taught in English
46 practice exercises

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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 Duke University

Specialization - 4 course series

Cloud Computing Foundations

Cloud Computing Foundations

Course 135 hours

What you'll learn

Skills you'll gain

Continuous Delivery, Infrastructure as Code (IaC), DevOps, Infrastructure As A Service (IaaS), Cloud Computing, Technical Communication, Software Development Methodologies, Platform As A Service (PaaS), CI/CD, GitHub, Serverless Computing, Software Development, Agile Software Development, Amazon Web Services, and Cloud Infrastructure

What you'll learn

Skills you'll gain

Microservices, Serverless Computing, Performance Testing, Continuous Delivery, DevOps, Flask (Web Framework), Containerization, Kubernetes, Virtual Machines, Application Deployment, System Monitoring, Cloud Computing, Cloud Platforms, and Cloud-Native Computing
Cloud Data Engineering

Cloud Data Engineering

Course 341 hours

What you'll learn

Skills you'll gain

Serverless Computing, Extract, Transform, Load, Big Data, Distributed Computing, Amazon S3, Software Engineering, Data Governance, Command-Line Interface, NumPy, Rust (Programming Language), Python Programming, Data Pipelines, Continuous Integration, Cloud Computing, Cloud Technologies, and Google Cloud Platform

What you'll learn

Skills you'll gain

Automation, MLOps (Machine Learning Operations), Applied Machine Learning, Application Programming Interface (API), Artificial Intelligence and Machine Learning (AI/ML), Flask (Web Framework), Continuous Delivery, Cloud API, Natural Language Processing, Computer Vision, Cloud Applications, Microsoft Azure, and Google Cloud Platform

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Instructor

Noah Gift
Duke University
40 Courses196,455 learners

Offered by

Duke University

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