Prompt Engineering Jobs: Your 2025 Career Guide
January 14, 2025
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Launch your DevOps and Software Engineering Career. Master DevOps, Agile, Scrum, CI/CD and Cloud Native with hands-on job-ready skills.
Instructors: John Rofrano
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Only basic compter and IT literacy is required. No prior programming experience or college degree is required.
(4,713 reviews)
Recommended experience
Beginner level
Only basic compter and IT literacy is required. No prior programming experience or college degree is required.
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.
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October 2024
DevOps professionals are in high demand! According to a recent GitLab report, DevOps skills are expected to grow 122% over the next five years, making it one of the fastest growing skills in the workforce.
This certificate will equip you with the key concepts and technical know-how to build your skills and knowledge of DevOps practices, tools and technologies and prepare you for an entry-level role in Software Engineering.
The courses in this program will help you develop skill sets in a variety of DevOps philosophies and methodologies including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development, and Zero Downtime Deployments.
You will learn to program with the Python language and Linux shell scripts, create projects in GitHub, containerize and orchestrate your applications using Docker, Kubernetes & OpenShift, compose applications with microservices, employ serverless technologies, perform continuous integration and delivery (CI/CD), develop testcases, ensure your code is secure, and monitor & troubleshoot your cloud deployments.
Guided by experts at IBM, you will be prepared for success. Labs and projects in this certificate program are designed to equip job-ready hands-on skills that will help you launch a new career in a highly in-demand field.
This professional certificate is suitable for both - those who have none or some programming experience, as well as those with and without college degrees.
Applied Learning Project
Throughout the courses in this Professional Certificate, you will develop a portfolio of projects to demonstrate your proficiency using various popular tools and technologies in DevOps and Cloud Native Software Engineering.
You will:
Create applications using Python programming language, using different programming constructs and logic, including functions, REST APIs, and various Python libraries.
Develop Linux Shell Scripts using Bash and automate repetitive tasks
Create projects on GitHub and work with Git commands
Build and deploy applications composed of several microservices and deploy them to cloud using containerization tools (such as Docker, Kubernetes, and OpenShift); and serverless technologies
Employ various tools for automation, continuous integration (CI) and continuous deployment (CD) of software including Chef, Puppet, GitHub Actions, Tekton and Travis.
Secure and Monitor your applications and cloud deployments using tools like sysdig and Prometheus.
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.
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
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.
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.
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.
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.
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.
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
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.
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.
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
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
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.
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
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.
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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
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
Heriot-Watt University
Degree · 18 months - 8 years
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
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.
At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.
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This program can be completed with 6-12 months.
No specialized background needed. Only basic computer and IT literacy is needed. Suitable for those with and without college degrees. No prior programming experience required, however will also benefit those with some software development or operations experience.
It is recommended that you take most courses in the suggested order as they build upon concepts in previous courses.
This program is ACE® and FIBAA recommended —when you complete, you can earn up to 18 college credits and 8 ECTS credits.
Upon completing this professional certificate you will have develop the knowledge and hands-on skills to work as in entry level Software Engineering or DevOps practitioner role.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (2/1/2024 - 2/1/2025)
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