Master the essential skills of DevOps and Software Engineering with this comprehensive program from IBM. This certificate equips you with a deep understanding of DevOps philosophies, Agile Development, Cloud Native Architecture, and CI/CD practices, preparing you for an entry-level role in this rapidly growing field.
Guided by experts at IBM, you will gain hands-on experience through labs and projects, ensuring you are job-ready upon completion. Whether you are new to programming or seeking to enhance your skills, this professional certificate is designed to help you succeed in this high-demand field.
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Master essential concepts and technologies in DevOps and Software Engineering with IBM's comprehensive program. Gain hands-on experience in Agile, Cloud Computing, Python, Docker, Kubernetes, CI/CD, and more to prepare for a successful career in this high-demand field.
The Introduction to DevOps module covers the essential characteristics of DevOps, including the importance of Continuous Integration and Continuous Delivery, software engineering practices, and the organizational impact of DevOps.
Learn about Cloud Computing, including the essential characteristics, cloud service models, deployment models, and emerging trends enabled by cloud, as well as popular cloud platforms.
Gain a deep understanding of Agile Development and Scrum, including the 5 practices of Agile, sprint planning, user stories, and the importance of metrics in enhancing performance and productivity.
Get hands-on experience with Linux Commands and Shell Scripting, covering common commands, shell scripting, and scheduling cron jobs in Linux.
Learn the fundamentals of version control, basic Git concepts, creating repositories, and collaborating on team projects using GitHub.
Master Python programming, including Python basics, data types, logic, and proficiency in using Python libraries for data science and web data access.
Develop AI applications with Python and Flask, covering the application development lifecycle, creating Python modules, and deploying AI-based applications using IBM Watson AI Libraries and Flask.
Understand Containers with Docker, Kubernetes & OpenShift, including building cloud native applications, leveraging Kubernetes architecture, and creating YAML deployment files.
Explore Microservices and Serverless technologies, create REST API endpoints, deploy microservices using Docker containers, and practice hands-on in a cloud-based environment.
Learn Test and Behavior Driven Development, including the importance of testing, unit testing with test assertions and fixtures, and advanced TDD methods.
Master Continuous Integration and Continuous Delivery (CI/CD), including Infrastructure as Code, automation with Jenkins and GitHub actions, and the process of Continuous Deployment with tools like OpenShift Pipelines.
Understand Application Security for Developers and DevOps Professionals, covering security by design, defensive coding, vulnerability scanning, and app performance monitoring and troubleshooting.
Gain knowledge of Monitoring and Observability for Development and DevOps, including monitoring concepts, observability with Instana, logging, telemetry, and hands-on experience with various tools.
Complete a DevOps Capstone Project, applying user requirements, sprint plans, microservices, containers, serverless technologies, test cases, and CI/CD tools to update and deploy an application.
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