IBM
IBM Back-End Development Professional Certificate
IBM

IBM Back-End Development Professional Certificate

Prepare for a career as a back-end developer. Gain the in-demand skills and hands-on experience to get job-ready in less than 6 months.

John Rofrano
IBM Skills Network Team
Abhishek Gagneja

Instructors: John Rofrano

Top Instructor

Access provided by Coursera Learning Team

25,374 already enrolled

Earn a career credential that demonstrates your expertise
4.7

(1,057 reviews)

Beginner level

Recommended experience

6 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.7

(1,057 reviews)

Beginner level

Recommended experience

6 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Master the most up-to-date practical skills and knowledge that back-end developers use in their daily roles

  • Learn to deploy and scale applications using methodologies and tools, Docker, Kubernetes, microservices, and serverless functions

  • 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 methodologies to facilitate software development life-cycle automation

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM
$148,000+
median U.S. salary for Back-end Development
¹
28,000+
U.S. job openings in Back-end Development
¹
Coursera Career Certificate

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Coursera Career Certificate

Professional Certificate - 11 course series

Introduction to Software Engineering

Course 114 hours4.7 (3,196 ratings)

What you'll learn

  • Describe software engineering, Software Development Lifecycle (SDLC), and software development tools, technologies and stacks.

  • List different types of programming languages and create basic programming constructs such as loops and conditions using Python. 

  • Outline approaches to application architecture and design, patterns, and deployment architectures. 

  • Summarize the skills required in software engineering and describe the career options it provides.

Skills you'll gain

Category: Software Development Life Cycle
Category: Software Engineering
Category: Front-End Web Development
Category: Computer Programming
Category: Agile Methodology
Category: Software Design
Category: Unified Modeling Language
Category: Software Architecture
Category: Programming Principles
Category: Cloud Development
Category: Back-End Web Development
Category: Integrated Development Environments
Category: Scrum (Software Development)
Category: Development Environment
Category: Application Development
Category: Software Development
Category: Web Development
Category: Python Programming

Getting Started with Git and GitHub

Course 210 hours4.7 (1,666 ratings)

What you'll learn

  • Describe version control and its place in social and collaborative coding and in DevOps.

  • Explain basic Git concepts such as repositories and branches used for distributed version control and social coding.

  • Create GitHub repositories and branches, and perform pull requests (PRs) and merge operations, to collaborate on a team project.

  • Build your portfolio by creating and sharing an open-source project on GitHub.

Skills you'll gain

Category: Git (Version Control System)
Category: GitHub
Category: Command-Line Interface
Category: Version Control
Category: Open Source Technology
Category: DevOps
Category: Web Development Tools

Hands-on Introduction to Linux Commands and Shell Scripting

Course 314 hours4.6 (1,554 ratings)

What you'll learn

  • Describe the Linux architecture and common Linux distributions and update and install software on a Linux system.

  • Perform common informational, file, content, navigational, compression, and networking commands in Bash shell.

  • Develop shell scripts using Linux commands, environment variables, pipes, and filters.

  • Schedule cron jobs in Linux with crontab and explain the cron syntax. 

Skills you'll gain

Category: Linux Commands
Category: Shell Script
Category: Linux
Category: File Management
Category: Unix
Category: Unix Commands
Category: Bash (Scripting Language)
Category: Automation
Category: Linux Administration
Category: Scripting Languages
Category: Command-Line Interface
Category: Unix Shell
Category: Network Protocols
Category: Linux Servers
Category: Operating Systems
Category: OS Process Management

Python for Data Science, AI & Development

Course 425 hours4.6 (40,919 ratings)

What you'll learn

  • Learn Python - the most popular programming language and for Data Science and Software Development.

  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

  • Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Skills you'll gain

Category: Data Structures
Category: Python Programming
Category: Object Oriented Programming (OOP)
Category: Pandas (Python Package)
Category: Web Scraping
Category: NumPy
Category: Data Collection
Category: Data Manipulation
Category: Data Processing
Category: Application Programming Interface (API)
Category: Jupyter
Category: Programming Principles
Category: Data Import/Export
Category: Scripting
Category: Computer Programming
Category: Automation

Developing AI Applications with Python and Flask

Course 511 hours4.4 (1,087 ratings)

What you'll learn

  • Describe the steps and processes involved in creating a Python application including the application development lifecycle

  • Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices

  • Explain the features of Flask and deploy applications on the web using the Flask framework

  • Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask

Skills you'll gain

Category: Application Deployment
Category: Python Programming
Category: Restful API
Category: Application Programming Interface (API)
Category: Flask (Web Framework)
Category: Unit Testing
Category: Application Development
Category: Artificial Intelligence
Category: Style Guides
Category: IBM Cloud
Category: Programming Principles
Category: Web Applications
Category: Natural Language Processing

Django Application Development with SQL and Databases

Course 614 hours4.5 (319 ratings)

What you'll learn

  • Explain what a database is and create an entity relationship data model for a relational database.

  • Compose SQL queries to insert, select, update, and delete data in a database.

  • Use Django ORM to build object-oriented databases.

  • Integrate Bootstrap into your Django template and build interactive web pages.

Skills you'll gain

Category: Django (Web Framework)
Category: Object-Relational Mapping
Category: Bootstrap (Front-End Framework)
Category: Relational Databases
Category: Authentications
Category: Full-Stack Web Development
Category: SQL
Category: Authorization (Computing)
Category: Object Oriented Programming (OOP)
Category: Cloud Applications
Category: Database Management
Category: Model View Controller
Category: Databases
Category: Application Development
Category: Back-End Web Development
Category: Database Design
Category: Application Deployment

What you'll learn

  • Using containers, learn how to move applications quickly across any environment.

  • Build cloud native applications using Docker, Kubernetes, OpenShift, and Istio.

  • Describe and leverage Kubernetes architecture to set up and use an entire lifecycle-based container management system.

  • Create and leverage a YAML deployment file to configure and create resources such as pods, services, replicasets, and others in a declarative way.

Skills you'll gain

Category: Kubernetes
Category: Command-Line Interface
Category: Docker (Software)
Category: Containerization
Category: Istio
Category: OpenShift
Category: CI/CD
Category: DevOps
Category: YAML
Category: Cloud-Native Computing
Category: Microservices
Category: Cloud Platforms
Category: Application Deployment
Category: Scalability

What you'll learn

  • Summarize the fundamentals of Microservices, their advantages, and contrast with monolithic architectures.

  • Create REST API endpoints and invoke them using cURL and Postman; Use SwaggerUI to document and test APIs.

  • Create, and deploy microservices using Docker containers and serverless technologies like IBM Code Engine.

  • Practice hands-on with labs and projects using a no-charge cloud-based environment.

Skills you'll gain

Category: API Gateway
Category: IBM Cloud
Category: Serverless Computing
Category: Microservices
Category: Restful API
Category: Application Deployment
Category: Flask (Web Framework)
Category: Containerization
Category: Application Development
Category: Istio
Category: Software Architecture
Category: OpenShift
Category: Kubernetes
Category: Cloud Applications
Category: Cloud Computing

What you'll learn

  • Explain security by design, learn to develop applications using security by design principles; perform defensive coding following OWASP principles.

  • Describe IBM cloud container vulnerability; perform vulnerability scanning and pen testing with Kali Linux.

  • Describe what to look for in app performance; perform troubleshooting using logging, stack trace, and log analytics.

  • Discuss concepts like Golden Signals; list tools for monitoring and troubleshooting; and test monitoring in action with Prometheus and Grafana.

Skills you'll gain

Category: Secure Coding
Category: Application Security
Category: Threat Modeling
Category: Open Web Application Security Project (OWASP)
Category: DevSecOps
Category: Vulnerability Scanning
Category: Software Development Life Cycle
Category: Security Testing
Category: Encryption
Category: Continuous Monitoring
Category: Application Performance Management
Category: DevOps
Category: Data Security
Category: Vulnerability Assessments
Category: System Monitoring
Category: Development Environment

Monitoring and Observability for Development and DevOps

Course 1016 hours4.5 (81 ratings)

What you'll learn

  • Explain the importance of monitoring and describe concepts like Golden Signals

  • Demonstrate your knowledge of observability with Instana and explain the pillars of observability, cloud native observability, and types of sampling

  • Implement logging and demonstrate your knowledge of telemetry using OpenTelemetry and tracing using Kubernetes

  • Develop hands-on experience with a variety of tools such as Prometheus, Grafana, Mezmo (LogDNA), OpenTelemetry, and Instana

Skills you'll gain

Category: Application Performance Management
Category: System Monitoring
Category: Prometheus (Software)
Category: Grafana
Category: Continuous Monitoring
Category: Cloud-Native Computing
Category: Kubernetes
Category: DevOps
Category: Distributed Computing
Category: Docker (Software)
Category: Information Technology Operations
Category: Interactive Data Visualization

Back-end Application Development Capstone Project

Course 1118 hours5.0 (36 ratings)

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

Category: Flask (Web Framework)
Category: Docker (Software)
Category: Django (Web Framework)
Category: Application Deployment
Category: MongoDB
Category: Kubernetes
Category: OpenShift
Category: Back-End Web Development
Category: Application Development
Category: Cloud Applications
Category: NoSQL
Category: Restful API
Category: Microservices
Category: Web Applications
Category: Data Modeling
Category: Business Logic
Category: Cloud-Native Computing
Category: Databases
Category: Systems Integration

Instructors

IBM Skills Network Team
IBM
67 Courses1,260,301 learners
Abhishek Gagneja
IBM
6 Courses191,529 learners
Joseph Santarcangelo
IBM
33 Courses1,899,829 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

¹Lightcast™ Job Postings Report, United States, 7/1/22-6/30/23. ²Based on program graduate survey responses, United States 2021.