Learn CI/CD
8 expert-rated courses covering CI/CD. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Demand for CI/CD skills is growing rapidly across industries like technology, finance, and healthcare as organizations aim to accelerate software delivery and reduce deployment risk. In 2026, professionals with CI/CD expertise can expect a 15-25% salary premium compared to peers without these skills.
Key Facts About CI/CD
- 1CI/CD automates the software delivery pipeline, shortening the time between writing code and deploying it to production.
- 2Key CI/CD tools include Jenkins, GitLab CI/CD, GitHub Actions, and Azure DevOps.
- 3Implementing CI/CD reduces manual errors, improves code quality, and enables faster feedback and iterations.
- 4The CI phase builds and tests code changes, while CD automatically deploys validated changes to staging and production environments.
- 5Well-designed CI/CD pipelines can enable continuous deployment, where changes flow directly into production after passing tests.
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Top CI/CD Courses
GenAIOps: Operationalize GenAI Applications
Master GenAIOps practices for deploying and operating generative AI applications in production with Azure AI.
Hands-On MLOps Fundamentals for ML Engineers
Learn MLOps with hands-on experience using Apache Airflow, Kafka, Spark, and CI/CD pipelines for model deployment.
Machine Learning Operations (MLOps): Getting Started
Learn MLOps fundamentals from Google Cloud covering model deployment, CI/CD, monitoring, and automation for ML systems.
Validating and Safeguarding Production AI
Learn to test, validate, and secure AI systems in production covering anomaly detection, CI/CD, monitoring, and secure coding.
Data Engineering Project: SQL, Python, Airflow, Docker, CI/CD
Become a Data Engineer by learning APIs, SQL, Python, Docker, Airflow, CI/CD, Functional/Data Quality Tests and more.
Azure Data Factory for Data Engineers
Real world project for Data Engineers using Azure Data Factory, SQL, Data Lake, Databricks, HDInsight, CI/CD.
DevOps and AI on AWS
Learn DevOps practices for AI on AWS including CI/CD, Infrastructure as Code, containerization, and serverless computing.
Learn MLOps for Machine Learning
Learn MLOps including model deployment on AWS SageMaker, CI/CD pipelines, data management, and continuous monitoring.
Pro Tips for Learning CI/CD
- #1Start with learning version control (Git) and build automation (Make, Gradle, Maven) before tackling CI/CD tools.
- #2Practice implementing CI/CD on personal projects to build hands-on experience.
- #3Familiarize yourself with containerization (Docker) and orchestration (Kubernetes) to complement your CI/CD skills.
Why Learn CI/CD?
- Gain a competitive advantage in the job market as CI/CD becomes a core requirement for modern software roles.
- Improve productivity and reduce deployment risk by automating the software delivery lifecycle.
- Develop a deeper understanding of DevOps principles and cloud-native architecture.