Certification in DevOps Project Management

Explore how Agile and Scrum integration blends agile flexibility with a structured framework to enable rapid iterations, collaboration, and customer-centric delivery through sprints and standups.

Understand agile methodologies as a modern project management approach prioritizing iterative development, continuous feedback, and customer collaboration, guided by the Agile Manifesto values like individuals and interactions, and working software.

Learn the four core agile principles—customer-centric development with frequent user feedback, incremental updates, close collaboration with stakeholders, and flexible adaptation to change—to deliver continuous value.

Explore scrum, a lightweight agile framework that delivers potentially shippable software in short sprints, enabling self-organizing teams, clear roles, and continuous improvement through product backlog, sprint backlog, and increment.

Learn scrum roles: product owner prioritizes the backlog and maximizes value; the scrum master facilitates and removes impediments; the development team builds, tests, and delivers increments.

Explore Scrum artifacts, including product backlog, sprint backlog, and increment, and learn how the product owner refines backlog items, plans sprints, and delivers a potentially shippable increment.

Explore scrum events—sprint planning, daily stand-ups, sprint reviews, and sprint retrospectives—that ensure transparency, collaboration, and efficiency by defining sprint goals, prioritizing product backlog items, and incorporating stakeholder feedback.

Align Agile values with Scrum to deliver iteratively with stakeholder collaboration, cross-functional teams, and continuous feedback; integrate ci/cd and backlog tools to optimize Agile DevOps practices.

Accelerate software delivery by integrating Agile and Scrum for iterative releases, frequent stakeholder feedback, and cross-functional collaboration. Enhance adaptability and customer satisfaction through transparent progress and continuous improvement.

Integrate agile values with the Scrum discipline framework to drive efficiency, collaboration, adaptability, and customer centricity, delivering faster, higher quality products.

Explore the fundamentals of CI/CD pipeline management, including continuous integration, continuous deployment or delivery, and automated build, test, and release processes.

Explore continuous integration and delivery by examining frequent code commits, automated builds and unit tests, automated release, deployment strategies, and real-time monitoring.

Develop skills in ci/cd pipeline stages, mastering Git-based source control, branching strategies, build automation, and automated testing. Implement deployment and monitoring with Docker, Kubernetes, and observability tools.

Automate the ci cd lifecycle—from build and test to deployment and monitoring—using infrastructure as code and git practices. Leverage Docker and Kubernetes with real-time monitoring and alerting for scalable deployments.

Explore popular ci cd tools like Jenkins, GitLab CI, GitHub actions, CircleCI, and Travis CI, plus Docker, Kubernetes, Terraform, aws cloudformation, Prometheus and elk stack for automated, scalable devops pipelines.

Accelerate releases with automated CI/CD pipelines, improve code quality through automated testing, and enhance collaboration between development and operations.

Adopt a well-managed CI/CD pipeline to automate continuous integration, unit tests, artifact management, deployment with blue-green and canary releases, and monitoring for high-speed, low-risk software delivery.

Explore infrastructure as code (IAC) and compare manual provisioning with automated, repeatable deployments enabled by version control and DevOps practices.

Explore infrastructure as code (IAC) to automate provisioning and management of servers, networks, and storage with declarative and imperative approaches, ensuring consistency, scalability, and state management using Terraform and CloudFormation.

Explore the key benefits of infrastructure as code, including consistency and repeatable deployments, automation for faster provisioning, scalability, version control, and cost optimization with CI/CD integration.

Demystify declarative and imperative approaches to infrastructure as code. See how end-state definitions contrast with step-by-step commands, using Terraform, CloudFormation, Kubernetes YAML, and Ansible.

Explore the key components of infrastructure as code: configuration management, provisioning, orchestration, version control, and monitoring, with tools like Ansible, Terraform, Kubernetes, and Git to enable scalable IT operations.

Explore popular Iac tools and use cases, comparing declarative and imperative approaches across Terraform, AWS CloudFormation, Ansible, Puppet, Chef, Kubernetes, and Docker Compose.

Learn best practices for implementing infrastructure as code, including version control with git, modular reusable modules, security policies, automated testing with checkov, CI/CD pipelines, and GitOps for scalable, secure deployments.

Address state management and security risks in Terraform with remote state storage, modular infrastructure, and secret management, enabling scalable multi-cloud deployments and streamlined operations.

Recognize infrastructure as code as a game changer in modern cloud and DevOps, enabling fast, automated provisioning with Terraform, Kubernetes, and CloudFormation.

Master real-time monitoring and incident management to ensure reliability, security, and performance in cloud, DevOps, and microservices environments. Apply proactive detection, rapid response, and automation to minimize downtime.

Define monitoring as a continuous process of collecting, analyzing, and visualizing system metrics to detect anomalies, measure performance, and optimize resources for secure, reliable IT infrastructure.

Describe the incident management life cycle, from detection and logging to categorization, prioritization, investigation, resolution, and closure, with RCA, automation, and continuous improvement.

Explore key incident management metrics and KPIs, including mean time to detect, mean time to resolve, MTBF, incident volume, change failure rate, and first call resolution.

Adopt real-time monitoring and automated alerts for anomalies to detect incidents early, automate responses with AI ops, and use log correlation, runbooks, and IaC to reduce MTTR and improve post-mortems.

Explore monitoring and incident management tools across categories like APM (Prometheus, Datadog, New Relic, Grafana), log analysis, alerting, security incident management, and cloud monitoring, with real-time metrics and on-call workflows.

Automated monitoring with real-time alerts and AI-driven analytics enhances incident response, improves uptime, security, and customer experience across cloud and IT infrastructure, while DevOps workflows and postmortem analyses drive resilience.

Explore how devsecops embeds security into the devops pipeline with shift-left practices, automated testing (SAST, SCA, DAST), IAC, continuous monitoring, and compliance as code across the full SDLC.

Embed security into devops workflows to reduce vulnerabilities early, support shift-left security, and enable automated SAST, DAST, and IAST tests while ensuring GDPR, HIPAA, and ISO 27,001 compliance.

DevSecOps integrates security into the DevOps pipeline as code, embedding automated testing, threat modeling, and compliance from the start to enable secure, compliant software delivery.

Apply core principles of DevSecOps by shifting security left, automating checks in ci/cd, and enforcing least privilege and zero trust, with security as code and continuous compliance.

Embed security throughout the DevOps pipeline by integrating DevSecOps practices—from planning and coding to deployment and monitoring—using security as code, SAST, SCA, and IaC policies.

Explore how devsecops integrates security at every stage from planning to monitoring, using threat modeling, secure coding, SAST/SCA/DAST, and IaC scanning with Terraform and AWS Inspector.

Adopt shift-left security and secure coding with SAST, DAST, and IAST, enforce IAC security for Terraform, Ansible, and Kubernetes, and scan with checkov, tfsec, and Kics throughout the SDLC.

Explore major security compliance standards in devsecops, including GDPR, HIPAA, SOC 2, ISO 27001, PCI DSS, and NIST CSF, and their industry use cases and key requirements.

Explore how compliance as code embeds security into ci/cd pipelines for continuous auditing. Discover policy as code tools like OPA and Sentinel and IAC scanners that prevent non-compliant deployments.

Examine devsecops tools for security and compliance, including SAST and DAST, container security, secrets management, and IAM and RBAC. Explore infrastructure security, security monitoring, and compliance auditing with key tools.

Identify challenges in devsecops, including resistance to change, false positives, and compliance complexity. Learn practices like shift left security, integrated scanners, and automated compliance to balance security with developer agility.

Automate security across the devops lifecycle by integrating SAST, DAST, and IAC tooling into CI/CD, shifting left, and enforcing zero trust with least-privilege access.

Adopt devsecops practices to shift security left, automate compliance, and embed security into continuous integration and deployment pipelines, enabling secure, scalable, and compliant software delivery.

Introduce DevOps culture by emphasizing collaboration, shared responsibility, and continuous feedback, then leverage automation, CI/CD pipelines, infrastructure as code, and continuous monitoring to deliver high-quality software faster.

DevSecOps unites development, operations, and security to break down silos, accelerate feedback loops, automate workflows, and deliver software faster and more reliably.

Explore how collaboration and communication drive devsecops by enabling cross-functional teamwork, shared responsibility, early security integration, real-time visibility, and faster issue resolution through synchronized ci/cd workflows.

Overcome DevOps challenges by bridging silos between development, operations, and security, adopting cross-functional collaboration and CI/CD tooling for faster, reliable software delivery.

Explore a DevOps collaboration framework that maps planning, development, testing, monitoring, and postmortem stages to collaboration focuses and tools like Jira, GitHub, Jenkins, and Prometheus.

Align DevOps teams with a shared vision and goals, foster cross-team collaboration and a blameless culture, and automate transparent communication with continuous feedback for faster releases and customer satisfaction.

Explore DevOps collaboration tools and platforms, including Jira, Confluence, Trello, Miro, GitHub, GitLab, Bitbucket, Jenkins, CircleCI, Argo CD, CI/CD automation, testing, and monitoring.

DevOps communication and collaboration strategies unite standups, chat ops, shared dashboards, blameless postmortems, and continuous learning to align teams, improve incident response, and drive culture of experimentation.

Strengthen collaboration and communication in DevOps to accelerate releases, improve software quality, and embed security and compliance from the start through automated CI/CD, testing, and monitoring.

Foster collaboration, transparency, and shared ownership across development, operations, and security to accelerate secure, reliable software delivery through automation, CI/CD tools, and cultural transformation.

Explore the DevOps project life cycle, a continuous, iterative process that integrates dev and ops to deliver faster software with higher quality through CI/CD, automation, monitoring, and feedback.

DevOps is a cultural and procedural shift that accelerates development and deployment through automation, continuous testing, and collaboration among developers, operations, and security, ensuring scalability, security, and compliance.

Explore the seven DevOps life cycle phases aligned with the SDLC: plan, define requirements and workflows, develop, build, test, release and deploy, operate and monitor, with continuous feedback.

Plan and define the DevOps lifecycle phases with agile planning and collaborative tooling (Jira, Trello, Git, CI/CD) to deliver code efficiently.

Explore the breakdown of devops lifecycle phases—build, continuous integration, automated testing and quality assurance, and security—covering artifact creation (jar, war, docker) and test integration with Jenkins, CircleCI, Maven, and Selenium.

Explore the devops lifecycle phases, including continuous deployment, blue/green and canary releases, infrastructure as code, rollback mechanisms, and observability for incident management and optimization.

Explore the DevOps lifecycle with a CI/CD pipeline automating code, build, unit and security tests, deployment from pre-production to production with zero downtime, and continuous monitoring and feedback.

Explore how a well-implemented DevOps lifecycle accelerates time to market with automated processes, continuous testing, and CI/CD pipelines, delivering secure, high-quality software and improved collaboration.

The DevOps project life cycle unites development, operations, and security through automation, CI/CD, and continuous feedback with infrastructure as code to accelerate delivery, improve quality, and ensure reliability.

Discover how CloudBees, IBM, and cloud-based devops platforms leverage AI-driven analytics, IoT, and data management to enable predictive maintenance, faster app delivery, and reduced downtime.