IBM
IBM Back-End Development Professional Certificate

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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

24,726 already enrolled

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Earn a career credential that demonstrates your expertise
4.7

(1,023 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

(1,023 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

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Taught in English

Professional Certificate - 11 course series

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

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

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

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

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: Command-Line Interface
Category: Kubernetes
Category: Cloud-Native Computing
Category: Openshift
Category: CI/CD
Category: Cloud Platforms
Category: Istio
Category: Scalability
Category: Cloud Native
Category: Microservices
Category: Docker
Category: Containerization
Category: Docker (Software)
Category: Containers
Category: Application Deployment
Category: Devops Tools

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: Databases
Category: Model View Controller
Category: Back-End Applications
Category: Object Relational Mapping (ORM)
Category: Bootstrap (Front-End Framework)
Category: Web Applications
Category: Relational Databases
Category: Content Management
Category: Full-Stack Web Development
Category: Application Development
Category: Authentications
Category: SQL
Category: Django (Web Framework)
Category: Cloud Applications
Category: Authorization (Computing)
Category: Object-Relational Mapping
Category: Cloud Hosting
Category: Relational Database (RDBMS)
Category: Responsive Web Design

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

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: Web Development Tools
Category: Command-Line Interface
Category: Distributed Version Control Systems (DVCS)
Category: Cloning and forking
Category: open source
Category: Github
Category: Version Control
Category: DevOps
Category: Open Source Technology
Category: Git (Version Control System)
Category: Git (Software)

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: Kubernetes
Category: Serverless Computing
Category: API Gateway
Category: IBM Cloud
Category: Openshift
Category: serverless
Category: Istio
Category: Representational State Transfer (REST)
Category: Application Development
Category: Microservices
Category: Containerization
Category: Software Architecture
Category: Flask (Web Framework)
Category: Cloud Applications
Category: Restful API
Category: Cloud Computing
Category: Application Deployment

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

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

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Instructors

IBM Skills Network Team
IBM
67 Courses1,215,841 learners
Abhishek Gagneja
IBM
6 Courses183,196 learners
Joseph Santarcangelo
IBM
33 Courses1,857,643 learners

Offered by

IBM

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Frequently asked questions

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (4/1/2024 - 4/1/2025)