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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Cloud Infrastructure and DevOps: Continuous Integration and Continuous Deployment CI/CD
( 30 Modules )

Module #1
Introduction to Cloud Infrastructure
Overview of cloud computing, benefits, and service models
Module #2
Cloud Providers Overview
Comparison of AWS, Azure, Google Cloud, and other cloud providers
Module #3
Cloud Security Fundamentals
Security best practices, compliance, and risk management in the cloud
Module #4
DevOps Fundamentals
Introduction to DevOps, Agile, and Lean principles
Module #5
Version Control Systems
Git and other version control systems, GitFlow, and branching strategies
Module #6
Introduction to CI/CD
Overview of Continuous Integration and Continuous Deployment
Module #7
CI/CD Tools Overview
Comparison of Jenkins, Travis CI, CircleCI, GitLab CI/CD, and Azure DevOps
Module #8
Containerization using Docker
Introduction to Docker, containerization, and Dockerfile
Module #9
Orchestration using Kubernetes
Introduction to Kubernetes, deployments, and services
Module #10
Introduction to Infrastructure as Code (IaC)
Overview of IaC using Terraform, CloudFormation, and ARM templates
Module #11
Building CI/CD Pipelines
Creating CI/CD pipelines using Jenkins, GitLab CI/CD, and Azure DevOps
Module #12
Automated Testing and Code Quality
Introduction to automated testing, code quality, and code review
Module #13
Continuous Integration with Jenkins
Configuring Jenkins for CI, jobs, and pipelines
Module #14
Continuous Deployment with Kubernetes
Deploying applications to Kubernetes using CI/CD pipelines
Module #15
Monitoring and Logging
Introduction to monitoring and logging tools like Prometheus, Grafana, and ELK Stack
Module #16
Error Tracking and APM
Introduction to error tracking and application performance monitoring tools like New Relic and Datadog
Module #17
CI/CD for Serverless Applications
CI/CD for serverless applications using AWS Lambda, Azure Functions, and Google Cloud Functions
Module #18
CI/CD for Machine Learning and AI
CI/CD for machine learning and AI applications using TensorFlow, PyTorch, and Azure Machine Learning
Module #19
CI/CD Best Practices and Anti-Patterns
Best practices, anti-patterns, and lessons learned in CI/CD
Module #20
Case Studies and Real-World Examples
Real-world examples and case studies of CI/CD implementations
Module #21
Measuring Success and ROI
Measuring the success and ROI of CI/CD implementations
Module #22
CI/CD for Legacy Applications
Strategies for implementing CI/CD for legacy applications
Module #23
CI/CD for Microservices Architecture
CI/CD for microservices architecture and service-oriented architecture
Module #24
CI/CD for DevSecOps
Integrating security into CI/CD pipelines using DevSecOps practices
Module #25
CI/CD for Edge Computing
CI/CD for edge computing and IoT applications
Module #26
CI/CD for Hybrid and Multi-Cloud
CI/CD for hybrid and multi-cloud environments
Module #27
CI/CD Automation using Ansible and SaltStack
Automating CI/CD using Ansible and SaltStack
Module #28
CI/CD using Cloud Native Tools
Using cloud-native tools like Cloud Build, Cloud Run, and Cloud Source Repositories
Module #29
CI/CD for Compliance and Governance
CI/CD for compliance and governance in regulated industries
Module #30
Course Wrap-Up & Conclusion
Planning next steps in Cloud Infrastructure and DevOps: Continuous Integration and Continuous Deployment CI/CD career


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