IBM DevOps and Software Engineering Professional Certificate Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This comprehensive professional certificate program is designed to equip learners with foundational and advanced DevOps and software engineering skills through hands-on projects and real-world applications. The course spans approximately 6–8 months of part-time study, with each module building practical expertise in CI/CD, cloud platforms, automation, security, and modern development workflows. Learners will engage in interactive labs, automated pipeline setups, and infrastructure-as-code deployments across major cloud providers, culminating in a capstone project that integrates all acquired skills. Lifetime access allows flexible, self-paced learning.
Module 1: Introduction to DevOps & Agile Software Development
Estimated time: 20 hours
- Understand DevOps culture, principles, and benefits in modern software development
- Explore agile methodologies including Scrum and Kanban
- Learn the role of collaboration and continuous improvement in DevOps
- Introduction to version control with Git and GitHub for team-based coding
Module 2: Continuous Integration & Continuous Deployment (CI/CD)
Estimated time: 30 hours
- Build automated CI/CD pipelines for faster software delivery
- Use Jenkins, GitHub Actions, and GitLab CI/CD for pipeline automation
- Implement test-driven development (TDD) and automated testing practices
- Integrate code quality checks and feedback loops into pipelines
Module 3: Cloud Computing & Infrastructure as Code (IaC)
Estimated time: 40 hours
- Learn AWS, Azure, and Google Cloud fundamentals for DevOps workflows
- Automate infrastructure provisioning using Terraform and Ansible
- Containerize applications using Docker for consistent environments
- Orchestrate containers with Kubernetes for scalable deployments
Module 4: Monitoring, Security, & Site Reliability Engineering (SRE)
Estimated time: 50 hours
- Implement logging and monitoring with tools like Prometheus and ELK Stack
- Apply DevSecOps best practices to integrate security into CI/CD pipelines
- Understand incident management, root cause analysis, and postmortems
- Learn SRE principles including SLIs, SLOs, and error budgets
Module 5: Microservices & Cloud-Native Architecture
Estimated time: 35 hours
- Design and deploy microservices-based applications
- Understand cloud-native patterns and service communication
- Use API gateways and service meshes for scalable architectures
- Incorporate agile and DevOps practices into microservices workflows
Module 6: Final Project
Estimated time: 60 hours
- Deploy a full-stack application using DevOps methodologies
- Set up a complete CI/CD pipeline with automated testing and deployment
- Configure cloud infrastructure using IaC tools and implement monitoring and security
Prerequisites
- Basic understanding of programming concepts and scripting (Python, Bash)
- Familiarity with command-line interface and Linux environment
- Access to a computer with internet for cloud platform labs
What You'll Be Able to Do After
- Design and implement CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI/CD
- Automate cloud infrastructure provisioning with Terraform and Ansible
- Deploy and manage containerized applications using Docker and Kubernetes
- Integrate security best practices into DevOps workflows (DevSecOps)
- Apply monitoring, logging, and SRE principles to ensure system reliability