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).

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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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. 13 hours to complete

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. 13 hours to complete

English

Instructor

Instructor rating

4.56/5 (18 Ratings)

Noah Gift

Executive in Residence and Founder of Pragmatic AI Labs

Interdisciplinary Data Science (MIDS)

37,371 Learners

11 Courses

Offered by

Duke University

Syllabus - What you will learn from this course

Week1

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

Week2

Week 2

5 hours to complete

Virtualization and Containers

5 hours to complete

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

16 videos

Introduction to Virtual Machines2mContainers vs. Virtual Machines2mHow Do Spot Instances Work?3mLaunch an AWS Spot Instance11mCreate a GCP Virtual Machine from Terminal5mCreate Compute Cluster in Azure ML Studio3mIntroduction to Containers50sUsing Containers3mWhat is Docker?6mRun a Container from Docker Hub4mBuild a Docker Container Project from Scratch3mPush to Project to AWS ECR Registry7mIntroduction to Kubernetes44sOverview of Kubernetes5mDeploy App to Kubernetes on GKE6mKubernetes Demo5m

8 readings

Red Hat on Containers vs VMs10mMicrosoft Learn on Containers vs VMs10mLaunch VM Quiklabs40mDocker Format Containers10mContainer from Scratch (GitHub Repo)10mContainerized Flask Microservice Locally10mMore on Kubernetes10mDeploy a Kubernetes Python Flask App10m

1 practice exercise

Week 2 Quiz30m

Week3

Week 3

5 hours to complete

Microservices

5 hours to complete

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

14 videos

Introduction to Microservices1mWhat is a Microservice?2mRunning Microservices1mIntroduction to Flask1mWhat is Flask?2mFlask Change Microservice5mFlask Azure Microservice8mIntroduction to Serverless Microservices55sServerless Functions Overview1mBuild Marco Polo AWS Lambda5mBuild Marco Polo Step Function4mBuild AWS S3 Bucket Trigger4mCLI Trigger of Lambda2mGoogle Cloud Function Change5m

4 readings

Operationalizing a Microservice10mServerless Cookbook Repository10mLearn about AWS SAM (Serverless Application Model)10mEnhance a Flask Microservice10m

1 practice exercise

Week 3 Quiz30m

Week4

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 Alerts1mEffective Monitoring and Alerts2mMonitoring, Triggers and Alerts with AWS Cloudwatch5mBuilding an Alert from Scratch3mIntroduction to Load Testing1mEffective Load Testing2mFlask Locust Load Test6mPrometheus Monitoring6mIntroduction to Kaizen1mEffective Continuous Improvement2mWhat are the 'Five Whys'?2m

3 readings

Flask Load Test10mLoad Test a Flask Microservice10mCreate a containerized Flask Machine Learning Microservice10m

1 practice exercise

Week 4 Quiz30m

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TOP REVIEWS FROM CLOUD VIRTUALIZATION, CONTAINERS AND APIS

by KNNov 9, 2022

Fantastic! Thank you.

This course was an eye-opener for me.

by MMSep 26, 2022

This cource is best suited if you are part of transformation jounery

View all reviews

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