CI/CD Pipelines for Cloud-Based Software
( 30 Modules )

Module #1
Introduction to CI/CD
Overview of Continuous Integration and Continuous Deployment, benefits, and importance in cloud-based software development

Module #2
CI/CD Pipeline Fundamentals
Understanding the CI/CD pipeline components, tools, and workflows

Module #3
Cloud Providers for CI/CD
Overview of popular cloud providers (AWS, Azure, GCP, IBM Cloud) and their CI/CD offerings

Module #4
Version Control Systems
Git and other version control systems, branching strategies, and repository management

Module #5
Containerization using Docker
Introduction to Docker, containerization, and Dockerfile creation

Module #6
Orchestrating Containers with Kubernetes
Kubernetes fundamentals, pod management, and deployment strategies

Module #7
CI Tools:Jenkins, Travis CI, CircleCI
Overview of popular CI tools, features, and use cases

Module #8
CD Tools:Ansible, Terraform, CloudFormation
Overview of popular CD tools, features, and use cases

Module #9
Building a CI/CD Pipeline with Jenkins
Hands-on exercise:creating a CI/CD pipeline using Jenkins

Module #10
Building a CI/CD Pipeline with Travis CI
Hands-on exercise:creating a CI/CD pipeline using Travis CI

Module #11
Building a CI/CD Pipeline with CircleCI
Hands-on exercise:creating a CI/CD pipeline using CircleCI

Module #12
Continuous Integration with GitHub Actions
Overview of GitHub Actions, workflows, and usage

Module #13
Continuous Deployment with Azure DevOps
Overview of Azure DevOps, pipelines, and releases

Module #14
Testing and Quality Assurance in CI/CD
Importance of testing, types of testing, and QA strategies in CI/CD pipelines

Module #15
Security and Compliance in CI/CD
Security best practices, compliance, and risk management in CI/CD pipelines

Module #16
Monitoring and Logging in CI/CD
Importance of monitoring and logging, tools, and strategies in CI/CD pipelines

Module #17
CI/CD Pipeline Optimization and Automation
Best practices for optimizing and automating CI/CD pipelines

Module #18
CI/CD for Machine Learning and Data Science
Special considerations for CI/CD pipelines in machine learning and data science

Module #19
CI/CD for Serverless Applications
Special considerations for CI/CD pipelines in serverless applications

Module #20
CI/CD for Microservices Architecture
Special considerations for CI/CD pipelines in microservices architecture

Module #21
CI/CD Pipeline Case Studies
Real-world examples and case studies of successful CI/CD pipeline implementations

Module #22
CI/CD Pipeline Implementation Challenges
Common challenges and pitfalls in implementing CI/CD pipelines and how to overcome them

Module #23
CI/CD Pipeline Best Practices and Anti-Patterns
Best practices and anti-patterns for designing and implementing CI/CD pipelines

Module #24
CI/CD Pipeline for Open-Source Projects
Special considerations for CI/CD pipelines in open-source projects

Module #25
CI/CD Pipeline for Enterprise Software
Special considerations for CI/CD pipelines in enterprise software development

Module #26
CI/CD Pipeline for DevOps Teams
Collaboration and communication strategies for DevOps teams working with CI/CD pipelines

Module #27
CI/CD Pipeline Cost Optimization
Strategies for optimizing costs in CI/CD pipelines

Module #28
CI/CD Pipeline Scaling and Performance
Strategies for scaling and optimizing performance in CI/CD pipelines

Module #29
CI/CD Pipeline Governance and Compliance
Governance and compliance considerations for CI/CD pipelines in regulated industries

Module #30
Course Wrap-Up & Conclusion
Planning next steps in CI/CD Pipelines for Cloud-Based Software career

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CI/CD Pipelines for Cloud-Based Software ( 30 Modules )

CI/CD Pipelines for Cloud-Based Software
( 30 Modules )