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

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20,315 already enrolled

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Earn a career credential that demonstrates your expertise
4.7

(838 reviews)

Beginner level

Recommended experience

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

(838 reviews)

Beginner level

Recommended experience

12 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

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Taught in English

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

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Advance your career with in-demand skills

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

Get exclusive access to career resources upon completion

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  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

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Professional Certificate - 11 course series

Introduction to Software Engineering

Course 114 hours4.7 (2,020 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: Python Programming
Category: Application development
Category: Web Application
Category: Flask
Category: Artificial Intelligence (AI)

Hands-on Introduction to Linux Commands and Shell Scripting

Course 214 hours4.7 (1,347 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: Shell Script
Category: Bash (Unix Shell)
Category: Extract Transform and Load (ETL)
Category: Linux
Category: Linux Commands

Getting Started with Git and GitHub

Course 310 hours4.6 (1,426 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: Django (Web Framework)
Category: Mongodb
Category: Docker
Category: Flask
Category: Representational State Transfer (REST)

Python for Data Science, AI & Development

Course 425 hours4.6 (38,553 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 Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Developing AI Applications with Python and Flask

Course 511 hours4.4 (825 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: Openshift
Category: Docker
Category: Kubernetes
Category: Containers
Category: Cloud Native

Django Application Development with SQL and Databases

Course 614 hours4.5 (255 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 (ORM)
Category: Relational Database (RDBMS)
Category: SQL
Category: Back-End Applications

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: Open Web Application Security Project (OWASP)
Category: Observability
Category: security
Category: Monitoring
Category: logging

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: Distributed Version Control Systems (DVCS)
Category: Git (Software)
Category: Github
Category: open source
Category: Cloning and forking

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: Representational State Transfer (REST)
Category: Cloud Applications
Category: Openshift
Category: Microservices
Category: serverless

Monitoring and Observability for Development and DevOps

Course 1016 hours4.6 (60 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: Software Engineering
Category: Software Architecture
Category: Python Programming
Category: Agile and Scrum
Category: Software Development Lifecycle (SDLC)

Back-end Application Development Capstone Project

Course 1118 hours5.0 (29 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: Observability
Category: Telemetry
Category: Monitoring
Category: logging
Category: Tracing

Instructors

IBM Skills Network Team
IBM
58 Courses988,198 learners
Abhishek Gagneja
IBM
5 Courses146,482 learners
Joseph Santarcangelo
IBM
33 Courses1,652,114 learners

Offered by

IBM

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Frequently asked questions

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