This course is part of the Building Cloud Computing Solutions at Scale Specialization

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Noah Gift

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Building Cloud Computing Solutions at Scale SpecializationDuke University

About this Course

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Welcome to the second course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn to design Cloud-native systems with the fundamental building blocks of Cloud computing. These building blocks include virtual machines and containers. You will also learn how to build effective Microservices using technologies like Flask and Kubernetes. Finally, you will analyze successful patterns in Operations including: Effective alerts, load testing and Kaizen. 
This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you build a containerized Flask application that is continuously deployed to a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).

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Course 2 of 4 in the

Building Cloud Computing Solutions at Scale Specialization

Beginner Level

Beginner level Linux and Python skills

Approx. 14 hours to complete

English

Subtitles: English

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 4 in the

Building Cloud Computing Solutions at Scale Specialization

Beginner Level

Beginner level Linux and Python skills

Approx. 14 hours to complete

English

Subtitles: English

Instructor

Instructor rating

4.45/5 (12 Ratings)

Noah Gift

Executive in Residence and Founder of Pragmatic AI Labs

Interdisciplinary Data Science (MIDS)

20,370 Learners

8 Courses

Offered by

Duke University

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.

Syllabus - What you will learn from this course

Week

Week 1

1 hour to complete

Getting Started with Cloud Building Blocks

This week, you will learn how to access the free tiers of three Cloud environments. If you are joining after completing the first course in this Specialization, this will already be familiar to you. You will then have an opportunity to review the details of the final project in this course: Creating a containerized Flask application that is continuously deployed to a Cloud platform. Each week, you will learn and build upon key Cloud development skills to prepare you for this final course project.

1 hour to complete

5 videos (Total 10 min), 3 readings

Week

Week 2

5 hours to complete

Virtualization and Containers

This week, you will learn to evaluate the correct workflows for virtual machines and containers and how to choose the appropriate solution for the task at end. You will also learn about the powerful container management service: Kubernetes. You will apply this knowledge to create a containerized web service and deploy it to a managed container service.

5 hours to complete

16 videos (Total 73 min), 8 readings, 1 quiz

16 videos

Introduction to Virtual Machines2m

Containers vs. Virtual Machines2m

How Do Spot Instances Work?3m

Launch an AWS Spot Instance11m

Create a GCP Virtual Machine from Terminal5m

Create Compute Cluster in Azure ML Studio3m

Introduction to Containers50s

Using Containers3m

What is Docker?6m

Run a Container from Docker Hub4m

Build a Docker Container Project from Scratch3m

Push to Project to AWS ECR Registry7m

Introduction to Kubernetes44s

Overview of Kubernetes5m

Deploy App to Kubernetes on GKE6m

Kubernetes Demo5m

8 readings

Red Hat on Containers vs VMs10m

Microsoft Learn on Containers vs VMs10m

Launch VM Quiklabs40m

Docker Format Containers10m

Container from Scratch (GitHub Repo)10m

Containerized Flask Microservice Locally10m

Week 3

5 hours to complete

Microservices

This week, you will learn to build effective Microservices that comply with DevOps best practices. You will also learn to operationalize Microservices using Continuous Delivery. You will apply this knowledge to create an effective Microservice using AWS Lambda.

5 hours to complete

14 videos (Total 50 min), 4 readings, 1 quiz

14 videos

Introduction to Microservices1m

What is a Microservice?2m

Running Microservices1m

Introduction to Flask1m

What is Flask?2m

Flask Change Microservice5m

Flask Azure Microservice8m

Introduction to Serverless Microservices55s

Serverless Functions Overview1m

Build Marco Polo AWS Lambda5m

Build Marco Polo Step Function4m

Build AWS S3 Bucket Trigger4m

CLI Trigger of Lambda2m

Google Cloud Function Change5m

4 readings

Operationalizing a Microservice10m

Serverless Cookbook Repository10m

Learn about AWS SAM (Serverless Application Model)10m

Enhance a Flask Microservice10m

1 practice exercise

Week 3 Quiz30m

Week

Week 4

3 hours to complete

Operations

This week, you will learn to effectively perform Operations. This involves mastering Monitoring and Alerts. A key question about Monitoring and Alerts is what to do when they occur. This question is handled in the following lesson. You will learn how load testing can prevent issues before they arise. Finally, the topic of Kaizen, or continuous improvement, is tackled. All of the topics this week are components of DevOps best practices.

3 hours to complete

11 videos (Total 36 min), 3 readings, 1 quiz

11 videos

Introduction to Monitoring and Alerts1m

Effective Monitoring and Alerts2m

Monitoring, Triggers and Alerts with AWS Cloudwatch5m

Building an Alert from Scratch3m

Introduction to Load Testing1m

Effective Load Testing2m

Flask Locust Load Test6m

Prometheus Monitoring6m

Introduction to Kaizen1m

Effective Continuous Improvement2m

What are the 'Five Whys'?2m

3 readings

Flask Load Test10m

Load Test a Flask Microservice10m

Create a containerized Flask Machine Learning Microservice10m

1 practice exercise

Week 4 Quiz30m

About the Building Cloud Computing Solutions at Scale Specialization

With more companies leveraging software that runs on the Cloud, there is a growing need to find and hire individuals with the skills needed to build solutions on a variety of Cloud platforms. Employers agree: Cloud talent is hard to find. This Specialization is designed to address the Cloud talent gap by providing training to anyone interested in developing the job-ready, pragmatic skills needed for careers that leverage Cloud-native technologies.

In the first course, you will learn how to build foundational Cloud computing infrastructure, including websites involving serverless technology and virtual machines, using the best practices of DevOps. The second course will teach you how to build effective Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP). The third course begins to put together all of the Cloud concepts introduced in the first two courses to tackle more complex data engineering solutions. And finally, in the fourth course you will apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions.

Building Cloud Computing Solutions at Scale

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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.

More questions? Visit the Learner Help Center.

Cloud Virtualization, Containers and APIs

About this Course

Instructor

Noah Gift

Offered by

Duke University

Syllabus - What you will learn from this course

Week 1

Getting Started with Cloud Building Blocks

Week 2

Virtualization and Containers

Week 3

Microservices

Week 4

Operations

About the Building Cloud Computing Solutions at Scale Specialization

Frequently Asked Questions

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Cloud Virtualization, Containers and APIs

About this Course

Instructor

Noah Gift

Offered by

Duke University

Syllabus - What you will learn from this course

Week 1

Getting Started with Cloud Building Blocks

Week 2

Virtualization and Containers

Week 3

Microservices

Week 4

Operations

About the Building Cloud Computing Solutions at Scale Specialization

Frequently Asked Questions

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Start or advance your career

Browse popular topics

Popular courses and articles

Earn a degree or certificate online

Coursera

Community

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