Welcome to the GCP Training Labs and Demos repository! This project is designed to help learners enhance their skills and knowledge in using Google Cloud Platform through hands-on practical exercises.
This repository contains a series of labs and demo projects that accompany the courses offered at Google Cloud Training. Each lab is crafted to provide step-by-step guidance, helping you understand and implement various GCP services effectively.
To begin with the labs and demos, follow these steps:-
-
Prerequisites:
- Create a Google Cloud account if you don't already have one.
- Set up Google Cloud SDK: Installation guide.
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Clone the Repository:
git clone https://github.com/yourgithub/gcp-training-labs.git cd gcp-training-labs -
Navigate to Specific Labs:
- Each directory within the repository corresponds to a specific lab or demo.
- Read the README.md file in each directory for specific instructions.
The repository is organized by course topics, and each folder includes relevant labs and demos:
- Compute Engine
- App Engine
- Kubernetes Engine
- Big Data and Machine Learning
Contributions to this project are welcome! Please review the contributing guidelines before submitting pull requests or issues to help improve the labs and demos.
This project is licensed under the terms of the MIT license.
For support with the labs and demos, or for questions about Google Cloud Training, please refer to the official Google Cloud documentation or post your queries on the community forums.
Thank you for participating in our GCP Training Labs and Demos. We hope this resource helps you effectively learn and implement Google Cloud solutions!