Explanation
Prepare for a career in high-growth software development. In this program, you will develop the skills, tools, and portfolio to be competitive in the job market as an entry-level backend developer in at least 6 months. Back-end developers are the experts who build and maintain the systems that work with the data and perform the actions behind the website, and the demand for these professionals has never been greater. You will learn the latest tools and technologies used by professional developers, including Linux scripting, Git and GitHub, Python, SQL, Databases, Django, Containers with Docker, Kubernetes, and OpenShift, Microservices, Serverless, as well as Application Security, and Tracking.
You’ll practice working hands-on with these technologies to build the kind of server-side systems and services that power modern web and mobile applications. By completing the full program, you’ll build a portfolio of projects to give you the confidence to excel in your interviews and earn an IBM Professional Certificate to demonstrate your knowledge to prospective employers. You’ll also get to join the IBM Talent Network where you’ll find job opportunities as soon as they’re posted, advice tailored to your skills and interests, and tips and tricks to help you stand out from the crowd. Through the professional degree, there are many opportunities to apply the skills learned in laboratories and projects. Projects include:
- Development of shell scripts for repetitive tasks such as file replication
- Creating and sharing open source projects on GitHub
- Creating a Python application with points between English and French
- Code refinement and application hosting using IBM Cloud and Cloud Foundry enabling CI/CD to ensure changes are deployed automatically
- Adding video to an online course by leveraging Django’s full range of skills
- Building and deploying a guestbook that generates updates using Openshift’s open source features and multi-level guestbook configuration
- Creating a backend application that displays song lyrics, band photos, and sells concert tickets by creating and integrating a Mongo database, a Flask service, and a Django application
- Identifying and analyzing software engineering job postings
What will you learn?
- Learn the most up-to-date practical skills and knowledge that developers use in their daily roles
- Learn how to deploy and scale applications using systems and tools, Docker, Kubernetes, micro-server, and serverless operations.
- Write back-end applications with object-oriented programming languages including server-side Python while using version control and package managers.
- Employ continuous integration/continuous development (CI/CD) and monitoring processes to facilitate automated software development lifecycle.
Who is this course for?
- For entry-level developers who are beginners or professionals looking to increase their knowledge or transition to a new career.
IBM Features Professional Backend Development Certification
Contents of the IBM Back End Development Certification
Course 1
Introduction to Software Engineering
COURSE 2
Hands-on Introduction to Linux Commands and Shell Scripting
course 3
Getting started with Git and GitHub
Course 4
Python for Data Science, AI & Development
Course 5
Python Project for AI & Application Development
Course 6
Developing Applications with SQL, Databases, and Django
COURSE 7
Introduction to Containers w/ Docker, Kubernetes & OpenShift
Course 8
Application Development using Microservices and Serverless
Course 9
Application Security for Developers and DevOps Professionals
Course 10
Monitoring and Monitoring Development and DevOps
Course 11
Backend Application Development Project
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This specialization consists of 10 courses.
Version 2023/10 compared to 2023/2: The Application Security and Monitoring course was removed and the following 3 courses were added:
Application Security for Developers and DevOps Professionals
Monitoring and Monitoring Development and DevOps
Backend Application Development Project
Download Links
Course 1 – Introduction to Software Engineering
Course 2 – Hands-on Introduction to Linux Commands and Shell Scripting
Course 3 – Getting Started with Git and GitHub
Course 4- Python for Data Science, AI & Development
5-Project Python Course for AI & Application Development
Course 6 – Developing SQL Applications, Databases, and Django
Course 7 – Introduction to Containers w/ Docker, Kubernetes & OpenShift
Course 8 – Application Development using Microservices and Serverless
Course 9 – Application Security for Developers and DevOps Professionals
Course 10 – Monitoring and Monitoring Development and DevOps
Course 11 – End-to-End Project Development Application Development
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