IBM
IBM DevOps and Software Engineering Professional Certificate
IBM

IBM DevOps and Software Engineering Professional Certificate

Launch your DevOps and Software Engineering Career. Master DevOps, Agile, Scrum, CI/CD and Cloud Native with hands-on job-ready skills.

John Rofrano
Abhishek Gagneja
Joseph Santarcangelo

Instructors: John Rofrano +10 more

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Earn a career credential that demonstrates your expertise
4.7

(5,353 reviews)

Beginner level

Recommended experience

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

(5,353 reviews)

Beginner level

Recommended experience

Flexible schedule
6 months, 10 hours a week
Learn at your own pace
Build toward a degree

What you'll learn

  • Develop a DevOps mindset, practice Agile philosophy & Scrum methodology - essential to succeed in the era of Cloud Native Software Engineering

  • Create applications using Python  language, using various programming constructs and logic, including functions, REST APIs, and  libraries

  • Build applications composed of microservices and deploy using containers (e.g. Docker, Kubernetes, and OpenShift) & serverless technologies

  • Employ tools for automation, continuous integration (CI) and continuous deployment (CD) including Chef, Puppet, GitHub Actions, Tekton and Travis. 

Skills you'll gain

  • Category: Jupyter
  • Category: Kubernetes
  • Category: Software Development Life Cycle
  • Category: Gherkin (Scripting Language)
  • Category: Cloud Computing Architecture
  • Category: Istio
  • Category: Git (Version Control System)
  • Category: Linux Commands
  • Category: Continuous Integration
  • Category: Software Architecture
  • Category: CI/CD
  • Category: Open Web Application Security Project (OWASP)

Details to know

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Taught in English

Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM
$135,000+
median U.S. salary for DevOps engineering
¹
49,000+
U.S. job openings in DevOps engineering
¹

Professional Certificate - 15 course series

Introduction to DevOps

Introduction to DevOps

Course 19 hours

What you'll learn

  • The essential characteristics of DevOps including building a culture of shared responsibility, transparency, and embracing failure.

  • The importance of Continuous Integration and Continuous Delivery, Infrastructure as Code, Test Driven Development, Behavior Driven Development.

  • Essential DevOps concepts: software engineering practices, cloud native microservices, automated continuous deployments, and building resilient code.

  • The organizational impact of DevOps, including breaking down silos, working in cross functional teams, and sharing responsibilities.

Skills you'll gain

Category: DevOps
Category: Cross-Functional Collaboration
Category: Culture Transformation
Category: Microservices
Category: Cloud-Native Computing
Category: Behavior-Driven Development
Category: Test Driven Development (TDD)
Category: Performance Metric
Category: Scrum (Software Development)
Category: Agile Methodology
Category: Team Oriented
Category: CI/CD
Category: Accountability

What you'll learn

  • Define cloud computing and explain essential characteristics, history, the business case for cloud, and the emerging technologies enabled by cloud

  • Describe the cloud service models- IaaS, PaaS, SaaS, and cloud deployment models- Public, Private, Hybrid; explain cloud infrastructure components

  • Explain emerging Cloud related trends including HybridMulticloud, Microservices, Serverless, Cloud Native, DevOps, and Application Modernization

  • List and describe services of popular cloud platforms including AWS, Microsoft Azure, Google Cloud, IBM Cloud, Alibaba Cloud, and others

Skills you'll gain

Category: Cloud Infrastructure
Category: Cloud Services
Category: Cloud Computing
Category: Emerging Technologies
Category: Cloud Security
Category: Cloud-Native Computing
Category: Cloud Computing Architecture
Category: Hybrid Cloud Computing
Category: DevOps
Category: Cloud Storage
Category: Cloud Hosting
Category: Cloud Solutions
Category: Cloud Development
Category: Cloud Management
Category: Infrastructure As A Service (IaaS)
Category: Cloud Technologies
Category: Software As A Service
Category: Cloud Platforms
Category: IBM Cloud
Category: Cloud Engineering

What you'll learn

  • Adopt the 5 practices of Agile, a subset of DevOps: small batches, minimum viable product, pair programming, behavior- and test-driven development.

  • Write good user stories, estimate and assign story points and track stories using a kanban board. Incorporate Scrum artifacts, events, and benefits.

  • Create and refine a product backlog using the sprint planning process. Produce potentially shippable product increments with every iteration.

  • Create burndown charts to forecast the ability to meet a sprint goal. Use metrics to enhance performance, productivity, and client satisfaction.

Skills you'll gain

Category: Agile Methodology
Category: Sprint Planning
Category: Sprint Retrospectives
Category: User Story
Category: Kanban Principles
Category: Backlogs
Category: Workflow Management
Category: Performance Measurement
Category: Product Requirements
Category: Agile Software Development
Category: Lean Methodologies
Category: Team Management
Category: Agile Project Management
Category: Scrum (Software Development)

What you'll learn

  • Explain the principles of software engineering, the Software Development Life Cycle (SDLC), and software development tools, technologies, and stacks

  • Differentiate between programming language types and apply basic programming constructs such as loops, conditionals, and functions using Python

  • Summarize key software architecture and design approaches, including common architectural and deployment patterns

  • Outline the roles, skills, and career paths in software engineering

Skills you'll gain

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

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: GitHub
Category: Git (Version Control System)
Category: Collaborative Software
Category: Command-Line Interface
Category: Web Applications
Category: Open Source Technology
Category: DevOps
Category: Version Control

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

What you'll learn

  • Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations.

  • Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.

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

  • Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.

Skills you'll gain

Category: Data Structures
Category: Python Programming
Category: Object Oriented Programming (OOP)
Category: File Management
Category: NumPy
Category: Pandas (Python Package)
Category: Web Scraping
Category: Data Import/Export
Category: Programming Principles
Category: Jupyter
Category: Restful API
Category: Computer Programming
Category: Data Analysis
Category: Application Programming Interface (API)
Category: Data Manipulation

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

  • Build and deploy web applications using Flask, including routing, error handling, and CRUD operations.

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

Skills you'll gain

Category: Web Development
Category: Flask (Web Framework)
Category: Unit Testing
Category: Application Programming Interface (API)
Category: Python Programming
Category: Integrated Development Environments
Category: Software Development Life Cycle
Category: Web Applications
Category: Application Deployment
Category: Style Guides
Category: Programming Principles
Category: Artificial Intelligence

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

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: Microservices
Category: API Gateway
Category: Serverless Computing
Category: Application Deployment
Category: Containerization
Category: IBM Cloud
Category: Restful API
Category: Cloud Applications
Category: Scalability
Category: Kubernetes
Category: Software Architecture
Category: Application Development
Category: Cloud Computing
Category: Istio
Category: OpenShift

What you'll learn

  • Explain the importance of testing 

  • Describe test-driven development (TDD) and explain its benefits for DevOps

  • Develop unit tests with test assertions and test fixtures and then run the tests

  • Improve unit testing through advanced TDD methods including coverage reports, factories, fakes, and mock objects

Skills you'll gain

Category: Behavior-Driven Development
Category: Test Driven Development (TDD)
Category: Software Testing
Category: Unit Testing
Category: Integration Testing
Category: Gherkin (Scripting Language)
Category: Test Automation
Category: Test Data
Category: Restful API
Category: Code Coverage
Category: Test Case
Category: Microservices

What you'll learn

  • Explain Infrastructure as Code, describe tools used, and create Infrastructure as Code scripts using Terraform

  • Describe cloud platforms and automation, and automate CI/CD tasks using Jenkins and GitHub actions

  • Define Continuous Integration (CI) and list some examples of tools used for CI

  • Describe the process of Continuous Deployment (CD) with tools like OpenShift Pipelines and Argo CD

Skills you'll gain

Category: CI/CD
Category: Continuous Delivery
Category: Continuous Integration
Category: GitHub
Category: Infrastructure as Code (IaC)
Category: OpenShift
Category: DevOps
Category: Git (Version Control System)
Category: Devops Tools
Category: Kubernetes
Category: Jenkins
Category: Application Deployment
Category: Automation
Category: IT Automation
Category: YAML
Category: Containerization

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

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: System Monitoring
Category: Application Performance Management
Category: Continuous Monitoring
Category: Prometheus (Software)
Category: Grafana
Category: Interactive Data Visualization
Category: Docker (Software)
Category: Kubernetes
Category: DevOps
Category: Microservices
Category: Real Time Data
DevOps Capstone Project

DevOps Capstone Project

Course 1518 hours

What you'll learn

  • Identify user requirements, write user stories, create and execute sprint plans.

  • Build an application composed of several microservices and employ containers and serverless for running apps in Cloud.

  • Develop test cases and test your app during various stages of its lifecycle; utilize CI/CD tools to update and deploy your app.

  • List several next steps for starting or enhancing your career as a DevOps professional.

Skills you'll gain

Category: Test Driven Development (TDD)
Category: Kubernetes
Category: Continuous Integration
Category: Docker (Software)
Category: Agile Methodology
Category: Restful API
Category: CI/CD
Category: OpenShift
Category: User Story
Category: Flask (Web Framework)
Category: Cloud Computing
Category: DevOps
Category: Application Deployment
Category: Microservices
Category: Sprint Planning
Category: Containerization
Category: Scrum (Software Development)
Category: Cloud-Native Computing
Category: Kanban Principles
Category: Code Review

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

 
ACE Logo

This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution. 

Instructors

Abhishek Gagneja
Abhishek Gagneja
IBM
6 Courses214,834 learners
Joseph Santarcangelo
Joseph Santarcangelo
IBM
35 Courses2,034,636 learners
Rav Ahuja
Rav Ahuja
IBM
57 Courses3,968,052 learners

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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.