About Course
π Docker Training
Containerization & DevOps using Docker
π What is Docker?
Docker is a powerful open-source containerization platform used for building, packaging, deploying, and running applications consistently across different environments.
Docker enables developers and DevOps engineers to package applications along with dependencies into lightweight containers, ensuring applications work the same way everywhere.
Docker helps organizations:
- Build portable applications
- Simplify deployment
- Improve scalability
- Automate software delivery
- Enable microservices architecture
- Reduce infrastructure issues
Docker is widely used in:
- DevOps Engineering
- Cloud Computing
- Application Deployment
- Microservices Architecture
- CI/CD Pipelines
- Enterprise Applications
Popular technologies used with Docker:
- Docker Engine
- Docker Compose
- Docker Hub
- Kubernetes
- Jenkins
- AWS
- Azure
- Linux Containers
In simple words:
Docker helps developers package applications into containers so they run consistently on any system.
π― Course Overview
This course helps you learn:
- Docker fundamentals
- Containerization concepts
- Docker installation & setup
- Docker images & containers
- Docker Compose
- Networking & storage
- CI/CD integration
- Kubernetes basics
- Cloud deployment
- Real-time DevOps project development
Learn Docker from beginner to advanced level with practical hands-on projects.
βοΈ How Docker Works
- Create application
- Package application into Docker image
- Run image as container
- Configure networking & storage
- Deploy application anywhere
- Scale application easily
Example:
Deploy a Node.js application using Docker containers with database integration.
π’ Real-Time Business Use Cases
DevOps
- Continuous deployment
- Environment standardization
Cloud Applications
- Cloud-native deployment
- Scalable infrastructure
Enterprise Applications
- ERP deployments
- Secure application hosting
Microservices
- Containerized APIs
- Distributed architecture
Software Development
- Faster testing environments
- Application portability
π DETAILED COURSE CONTENT
Module 1: Introduction to Docker
- What is Docker
- Features of Docker
- Docker architecture
- Containers vs Virtual Machines
- Docker use cases
- Docker ecosystem overview
- Installation & setup
Module 2: Docker Fundamentals
- Docker Engine
- Docker CLI basics
- Docker Desktop setup
- Running first container
- Docker commands basics
Module 3: Docker Images
- What are Docker images
- Pulling images from Docker Hub
- Creating custom images
- Dockerfile basics
- Image layers
- Image optimization techniques
Module 4: Docker Containers
- Container lifecycle
- Running containers
- Starting/stopping containers
- Container logs
- Container monitoring
- Interactive containers
Module 5: Dockerfile
- Writing Dockerfile
- Base images
- COPY & ADD commands
- RUN commands
- ENTRYPOINT & CMD
- Environment variables
Module 6: Docker Volumes & Storage
- Persistent storage
- Docker volumes
- Bind mounts
- Data persistence
- Storage management
Module 7: Docker Networking
- Network basics
- Bridge network
- Host network
- Overlay network
- Container communication
- Port mapping
Module 8: Docker Compose
- What is Docker Compose
- YAML basics
- Multi-container applications
- Service orchestration
- Running applications with Compose
Module 9: Docker Hub & Registry
- Docker Hub basics
- Pushing images
- Pulling images
- Private repositories
- Image versioning
Module 10: Environment Variables & Configuration
- Environment management
- Secrets management basics
- Config files
- Secure application setup
Module 11: Docker Security
- Container security basics
- Secure images
- Vulnerability scanning
- Best security practices
Module 12: Logging & Monitoring
- Container logs
- Monitoring basics
- Debugging containers
- Health checks
Module 13: CI/CD with Docker
- CI/CD basics
- Docker with Jenkins
- GitHub Actions overview
- Automated deployments
- Build pipelines
Module 14: Docker for Microservices
- Microservices basics
- Containerized APIs
- Service communication
- Scaling applications
Module 15: Kubernetes Basics
- What is Kubernetes
- Docker & Kubernetes integration
- Pods & containers
- Deployments basics
- Scaling applications
Module 16: Docker in Cloud Platforms
- Docker on AWS
- Docker on Azure
- Docker on Google Cloud
- Cloud deployment basics
Module 17: Real-Time Project Scenarios
- Node.js app containerization
- Python app deployment
- Java Spring Boot deployment
- Microservices deployment
- Full stack application deployment
Module 18: DevOps Best Practices
- CI/CD best practices
- Container optimization
- Infrastructure automation
- Secure deployments
Module 19: Troubleshooting & Debugging
- Docker troubleshooting
- Debugging containers
- Performance tuning
- Common issues & fixes
Module 20: Interview Preparation
- Docker interview questions
- Containerization scenarios
- DevOps discussions
- Resume preparation
Β
πΌ Career Opportunities
- Docker Engineer
- DevOps Engineer
- Cloud Engineer
- Site Reliability Engineer (SRE)
- Platform Engineer
- Infrastructure Engineer
β Benefits of Learning Docker
- High-demand DevOps skill
- Faster application deployment
- Better scalability & portability
- Strong cloud computing expertise
- Excellent career growth opportunities
π Why Choose GTC Trainings?
- Real-time project exposure
- Expert trainers
- Hands-on practical learning
- Interview preparation
- Placement assistance
- Flexible online training
Β

