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🤖 AI Courses for Advanced Learning

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“Responsible AI is not just about liability — it's about ensuring what you are building is enabling human flourishing.”

Course Description:

This course introduces Docker, a popular platform for developing, shipping, and running applications in containers. You'll learn how Docker simplifies the process of deploying applications by packaging them with all their dependencies into a standardized unit called a container. Through hands-on exercises and practical examples, you'll gain the skills to create, manage, and deploy Docker containers efficiently, making your development and deployment workflows smoother and more scalable.

Modules Covered:

Module 1: Introduction To Docker
Module 2: Introduction to MicroServices
Module 3: Welcome to Cloud Native
Module 4: Introduction to Containers
Module 5: Visual Studio Code
Module 6: Persisting Data
Module 7: Docker Compose
Module 8: Container Registries
Module 9: Kubernetes Concepts
Module 10: Namespaces
Module 11: Nodes
Module 12: Pods
Module 13: Selectors
Module 14: Multi Container Pods
Module 15: Workloads
Module 16: Updates
Module 17: Services
Module 18: Storage & Persistence
Module 19: Application Settings
Module 20: Observalibilty
Module 21: Dashboards
Module 22: Scaling
Module 23: Conclusion

Training Outcome:

  • Understand the basic concepts of Docker and containerization, including images, containers, and Dockerfiles.

  • Learn how to create Docker images from scratch or existing configurations, and customize them to suit specific application requirements.

  • Gain proficiency in managing Docker containers, including starting, stopping, and removing containers as well as managing container networks.

  • Explore Docker's networking and storage capabilities, enabling you to build resilient and scalable applications.

  • Acquire knowledge of best practices for deploying Docker containers in production environments, ensuring reliability, security, and performance.

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