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 +9 more

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4.7

(3,523 reviews)

Beginner level

Recommended experience

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

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: Python Programming
  • Category: Application development
  • Category: Web Application
  • Category: Flask
  • Category: Artificial Intelligence (AI)
  • Category: CI/CD
  • Category: Microservices
  • Category: Cloud Computing
  • Category: Kubernetes
  • Category: Devops
  • Category: Software Testing
  • Category: Test-Driven Development
  • Category: Behavior-Driven Development
  • Category: Test Case
  • Category: Automated Testing
  • Category: Kanban
  • Category: Zenhub
  • Category: Scrum Methodology
  • Category: Agile Software Development
  • Category: Sprint Planning
  • Category: Representational State Transfer (REST)
  • Category: Cloud Applications
  • Category: Openshift
  • Category: serverless
  • Category: Docker
  • Category: Containers
  • Category: Cloud Native
  • Category: agile
  • Category: TDD/BDD
  • Category: Observability
  • Category: Telemetry
  • Category: Monitoring
  • Category: logging
  • Category: Tracing
  • Category: Distributed Version Control Systems (DVCS)
  • Category: Git (Software)
  • Category: Github
  • Category: open source
  • Category: Cloning and forking
  • Category: Continuous Integration
  • Category: Continuous Development
  • Category: Infrastructure As Code
  • Category: Automation
  • Category: Hybrid Multicloud
  • Category: Iaas PaaS Saas
  • Category: Data Science
  • Category: Data Analysis
  • Category: Numpy
  • Category: Pandas
  • Category: Open Web Application Security Project (OWASP)
  • Category: security
  • Category: Shell Script
  • Category: Bash (Unix Shell)
  • Category: Extract Transform and Load (ETL)
  • Category: Linux
  • Category: Linux Commands

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
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$135,000+
median U.S. salary for DevOps engineering
¹
49,000+
U.S. job openings in DevOps engineering
¹

Get exclusive access to career resources upon completion

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  • Interview prep

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  • Career support

    Plan your career move with Coursera's job search guide

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

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Professional Certificate - 14 course series

Introduction to DevOps

Course 19 hours4.8 (2,780 ratings)

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: Python Programming
Category: Application development
Category: Web Application
Category: Flask
Category: Artificial Intelligence (AI)

Introduction to Cloud Computing

Course 212 hours4.6 (6,072 ratings)

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: Shell Script
Category: Bash (Unix Shell)
Category: Extract Transform and Load (ETL)
Category: Linux
Category: Linux Commands

Introduction to Agile Development and Scrum

Course 311 hours4.9 (1,824 ratings)

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: Software Testing
Category: Test-Driven Development
Category: Behavior-Driven Development
Category: Test Case
Category: Automated Testing

Hands-on Introduction to Linux Commands and Shell Scripting

Course 414 hours4.7 (1,198 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: Data Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Getting Started with Git and GitHub

Course 510 hours4.6 (1,061 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: Openshift
Category: Docker
Category: Kubernetes
Category: Containers
Category: Cloud Native

Python for Data Science, AI & Development

Course 625 hours4.6 (36,343 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: CI/CD
Category: Microservices
Category: Cloud Computing
Category: Kubernetes
Category: Devops

Developing AI Applications with Python and Flask

Course 711 hours4.4 (694 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: CI/CD
Category: Continuous Integration
Category: Continuous Development
Category: Infrastructure As Code
Category: Automation

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

Introduction to Test and Behavior Driven Development

Course 1019 hours4.8 (186 ratings)

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

Continuous Integration and Continuous Delivery (CI/CD)

Course 1114 hours4.7 (154 ratings)

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: agile
Category: Devops
Category: TDD/BDD
Category: Cloud Native

Application Security for Developers and DevOps Professionals

Course 1217 hours4.8 (148 ratings)

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: Observability
Category: Telemetry
Category: Monitoring
Category: logging
Category: Tracing

Monitoring and Observability for Development and DevOps

Course 1316 hours4.6 (44 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: Cloud Computing
Category: Hybrid Multicloud
Category: Devops
Category: Iaas PaaS Saas
Category: Cloud Native

DevOps Capstone Project

Course 1415 hours4.8 (85 ratings)

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: Kanban
Category: Zenhub
Category: Scrum Methodology
Category: Agile Software Development
Category: Sprint Planning

Instructors

Abhishek Gagneja
Abhishek Gagneja
IBM
5 Courses120,499 learners
Joseph Santarcangelo
Joseph Santarcangelo
IBM
28 Courses1,489,500 learners
Rav Ahuja
Rav Ahuja
IBM
52 Courses2,642,259 learners

Offered by

IBM

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