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Back-end Application Development Capstone Project

Back-end Application Development Capstone Project

This course is part of IBM Back-End Development Professional Certificate

Instructor: IBM Skills Network Team

7,011 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Designed for those already in the industry

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Designed for those already in the industry

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Demonstrate proficiency to develop and deploy backend services and applications
Apply your back-end development skills to author microservices and REST APIs in Flask
Create and query databases like MongoDB and integrate with Django apps
Containerize microservices using Docker and deploy using Kubernetes, OpenShift and serverless

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

11 assignments

Taught in English

Build your Cloud Computing expertise

This course is part of the IBM Back-End Development Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from IBM

There are 5 modules in this course

This is the final course in the IBM Backend Development Professional Certificate. This capstone project course will give you the chance to practice the work that back-end developers do in real life when working with applications.

In this course, you will assume the role of a real-life developer working to develop and deploy back-end microservices and applications. You will be tasked to develop, deploy, and integrate an application composed of several microservices, and integrating them seamlessly. You will use various back-end tools and technologies, including Flask, Django, NoSQL, and Mongo DB, to accomplish this project while applying coding best practices. You will also deploy and scale and update each of the application’s microservices independently using Cloud Native technologies: Kubernetes, OpenShift and serverless (Code Engine). In this course, you’ll mostly focus on hands-on work to demonstrate and apply what you have learnt in previous courses. By successfully completing this Capstone you will have added a project to your programming portfolio to showcase to employers.

In the first module, you will learn about Flask, a lightweight python-based web application framework. The module will teach you how to create a Flask application that responds to user requests at specific URLs. You will also learn about handling both server and user errors. You will learn how to make external API calls from Flask. You will apply these lessons to create a service that produces pictures from past events.

What's included

6 videos3 readings3 assignments3 app items1 plugin

6 videosTotal 37 minutes

Course Introduction3 minutes
Introduction to Flask7 minutes
Basic Application and Routes8 minutes
Request and Response Objects8 minutes
Dynamic Routes4 minutes
Error Handing 6 minutes

3 readingsTotal 6 minutes

Lesson Overview2 minutes
Lesson Summary2 minutes
Lesson Overview2 minutes

3 assignmentsTotal 60 minutes

Practice Quiz12 minutes
Checklist18 minutes
Graded Quiz30 minutes

3 app itemsTotal 155 minutes

Hands-on Lab: Practice with Flask Part 120 minutes
Hands-on Lab: Practice with Flask Part 245 minutes
Hands-on Lab - Create Get Pictures Service with Flask90 minutes

1 pluginTotal 10 minutes

Project Tasks Overview10 minutes

With the advent of Big Data and agile development methodologies, the database landscape has evolved with NoSQL databases gaining more importance and relevance. The main benefit of using NoSQL databases is the ability to effectively handle scalability and flexibility issues presented by the latest complex applications. In this second module, you will learn various flavors of NoSQL database products and practice using them in multiple hand-on labs throughout the course. You will start by learning the history and the basics of NoSQL databases and discover their key characteristics and benefits. Then you will learn about the four NoSQL databases and how they differ from each other. You will further learn how to work with MongoDB shell. You will then get hands-on experience using MongoDB basic commands, querying, and connecting from Flask. You will create the songs microservice using MongoDB and Flask.

What's included

6 videos3 readings3 assignments4 app items1 plugin

6 videosTotal 31 minutes

Overview of NoSQL5 minutes
Characteristics of NoSQL Databases7 minutes
Document-Based NoSQL Databases4 minutes
Overview of MongoDB5 minutes
CRUD Operations6 minutes
Accessing MongoDB from Python5 minutes

3 readingsTotal 6 minutes

Lesson Overview2 minutes
Lesson Overview2 minutes
Module 2 Summary & Highlights2 minutes

3 assignmentsTotal 55 minutes

Practice Quiz15 minutes
Checklist10 minutes
Graded Quiz30 minutes

4 app itemsTotal 180 minutes

Hands-On Lab: Getting Started with MongoDB30 minutes
Hands-On Lab: MongoDB CRUD30 minutes
Hands-On Lab: Accessing MongoDB from Python30 minutes
Hands-on Lab: Creating Get Songs Service with Flask90 minutes

1 pluginTotal 30 minutes

Connecting to MongoDB from Flask30 minutes

In the third module, you will get hands-on practice creating a Django application and connecting it to services. You will be asked to create a data model and use the Django migration tool to create the tables and relationships. You will then create controllers to implement business logic to send the appropriate data to the provided templates.

What's included

1 reading2 assignments1 app item

In Module 4, you will deploy your application and services using Code Engine, OpenShift, and Kubernetes. You will first learn about IBM Cloud code engine and how it helps in deployment of your applications. You will create a DockerFile for the Pictures and deploy it to IBM code engine. You will create a second DockerFile for the Songs microservice and deploy it to an OpenShift cluster. You will learn how to push the docker images for the microservices to IBM Container Registry. Finally, you will deploy the main application to IBM Kubernetes Service using YAML deployment files.

What's included

1 video2 readings3 assignments4 app items1 plugin

1 videoTotal 7 minutes

IBM Cloud Code Engine7 minutes

2 readingsTotal 4 minutes

Lesson Overview2 minutes
Lesson Overview2 minutes

3 assignmentsTotal 72 minutes

Practice Quiz12 minutes
Checklist30 minutes
Graded Quiz30 minutes

4 app itemsTotal 215 minutes

Hands-on Lab: Deploying your first application on Code Engine15 minutes
Hands-on Lab: Deploying your first docker image on Code Engine20 minutes
Hands-on Lab: Deploying Microservices90 minutes
Hands-on Lab: Deploying Main Application90 minutes

1 pluginTotal 30 minutes

Using Code Engine30 minutes

In the final module, you will submit your capstone project using one of two options: AI-Graded Submission or Peer-Graded Submission. Depending on your selected option, you may need to submit public GitHub repository URLs, terminal outputs saved in text files, and/or screenshots with exact file names. For the peer-graded option, you will also provide URLs for the deployed microservices and the Django application. After submitting your project, you will review and evaluate one of your peer’s submissions using the provided grading rubric.

What's included

2 readings1 peer review1 app item1 plugin

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Instructor

IBM Skills Network Team

100 Courses3,034,577 learners

Offered by

IBM

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Frequently asked questions

This project requires you to engineer a decoupled, production-grade back-end system by integrating multiple independent services. You will build an agile Songs microservice utilizing Flask and a MongoDB NoSQL database to manage unstructured data catalogues with maximum flexibility. Simultaneously, you will build a separate service to process media from external API calls. These specialized microservices are then wired directly into a centralized Django application, where you will use Django migration tools to manage relational data models and orchestrate core business logic.

You will graduate from local runtime environments to production-ready cloud deployment. Throughout the course, you will write custom Dockerfiles to package your independent Flask microservices. You will then push these container images to the IBM Container Registry and deploy them using diverse cloud native strategies: launching serverless workloads on IBM Code Engine, orchestrating clusters via Red Hat OpenShift, and deploying the primary Django application framework to a live Kubernetes Service using structured YAML deployment files.

A strong portfolio piece requires verifiable deployment and clean code architecture. For your final submission—which can be evaluated via AI grading—you will provide your public GitHub repository URLs, terminal command outputs, and active microservice endpoints. Because you are tasked with configuring real routing, custom error handling, and cross-service communication, this capstone delivers a functional, multi-container portfolio showpiece that proves you can build and scale modern cloud-native backend applications.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.