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

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6,680 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

41 reviews

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.

41 reviews

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

Details to know

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Assessments

11 assignments

Taught in English

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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 videos Total 37 minutes

Course Introduction 3 minutes
Introduction to Flask 7 minutes
Basic Application and Routes 8 minutes
Request and Response Objects 8 minutes
Dynamic Routes 4 minutes
Error Handing 6 minutes

3 readings Total 6 minutes

Lesson Overview 2 minutes
Lesson Summary 2 minutes
Lesson Overview 2 minutes

3 assignments Total 60 minutes

Graded Quiz 30 minutes
Practice Quiz 12 minutes
Checklist 18 minutes

3 app items Total 155 minutes

Hands-on Lab: Practice with Flask Part 1 20 minutes
Hands-on Lab: Practice with Flask Part 2 45 minutes
Hands-on Lab - Create Get Pictures Service with Flask 90 minutes

1 plugin Total 10 minutes

Project Tasks Overview 10 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 videos Total 31 minutes

Overview of NoSQL 5 minutes
Characteristics of NoSQL Databases 7 minutes
Document-Based NoSQL Databases 4 minutes
Overview of MongoDB 5 minutes
CRUD Operations 6 minutes
Accessing MongoDB from Python 5 minutes

3 readings Total 6 minutes

Lesson Overview 2 minutes
Lesson Overview 2 minutes
Module 2 Summary & Highlights 2 minutes

3 assignments Total 55 minutes

Graded Quiz 30 minutes
Practice Quiz 15 minutes
Checklist 10 minutes

4 app items Total 180 minutes

Hands-On Lab: Getting Started with MongoDB 30 minutes
Hands-On Lab: MongoDB CRUD 30 minutes
Hands-On Lab: Accessing MongoDB from Python 30 minutes
Hands-on Lab: Creating Get Songs Service with Flask 90 minutes

1 plugin Total 30 minutes

Connecting to MongoDB from Flask 30 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 video Total 7 minutes

IBM Cloud Code Engine 7 minutes

2 readings Total 4 minutes

Lesson Overview 2 minutes
Lesson Overview 2 minutes

3 assignments Total 72 minutes

Graded Quiz 30 minutes
Practice Quiz 12 minutes
Checklist 30 minutes

4 app items Total 215 minutes

Hands-on Lab: Deploying your first application on Code Engine 15 minutes
Hands-on Lab: Deploying your first docker image on Code Engine 20 minutes
Hands-on Lab: Deploying Microservices 90 minutes
Hands-on Lab: Deploying Main Application 90 minutes

1 plugin Total 30 minutes

Using Code Engine 30 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.