Description
IBM Back-End Development Professional Certificate is published by Coursera Academy. Prepare yourself to work in the field of software development. In this course, you can develop your skills, tools and portfolio to have a competitive advantage in the job market in less than 6 months. Back-end developers are the professionals who build and maintain the data processing mechanisms and actions behind websites, and the demand for these professionals has never been higher. You with the latest tools and technologies used by professional back-end developers, including Linux hosting, Git and GitHub, Python, SQL, Databases, Django, Containers with Docker, Kubernetes, and OpenShift, Microservices, Serverless Application Security, and Monitoring you will get to know You can use these technologies to build server side systems and services that power modern web and mobile applications. After completing the course, you will have built a portfolio of projects to ensure you excel in your interviews and will receive a professional certificate from IBM to demonstrate your skills to potential employers.
During the Professional Certificate, there are many opportunities to use the skills learned through labs and projects. The projects include:
- Developing shell scripts for repetitive tasks such as backing up files
- Create and share open source projects on GitHub
- Developing a Python application with endpoints that translates English to French
- Modify code and host an application using IBM Cloud and Cloud Foundry using CI/CD to ensure changes are automatically applied.
- Add a feature to an online course using full-stack Django skills
- Build and deploy a guestbook that handles updates using Openshift image streams and a layered version of the guestbook.
- Development of a backend application that displays song lyrics, band photos and concert ticket sales by creating and integrating a Mongo database, a Flask service and a Django application.
- Identification and analysis of software engineering jobs
What you will learn
- Learn the practical skills and knowledge that back-end developers use in their daily roles.
- Learning to deploy and scale applications using methodologies and tools, Docker, Kubernetes, microservices, and serverless functions.
- Writing end-to-end programs with object-oriented programming languages, including server-side Python, while using version control and package management systems.
- Using continuous integration/continuous development (CI/CD) and monitoring methods to facilitate software development lifecycle automation
Who is this course suitable for?
- Entry-level or professional developers looking to increase their knowledge or looking for a career change
Details of the IBM Back-End Development Professional Certificate course
IBM Back-End Development Professional Certificate course chapters
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 Observability for Development and DevOps
COURSE 11
Back-end Application Development Capstone Project
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This educational series consists of 10 separate courses.
Version 2023/10 compared to 2023/2: The Application Security and Monitoring course has been removed and the following 3 courses have been added:
Application Security for Developers and DevOps Professionals
Monitoring and Observability for Development and DevOps
Back-end Application Development Capstone Project
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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 Observability for Development and DevOps
Course 11 – Back-end Application Development Capstone Project
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2.3 GB
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