Application Development with Cloud Run
This course introduces you to the fundamentals, practices, capabilities and tools for modern cloud application development with Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you learn how to develop and deploy applications on Google Cloud by using Cloud Run. This version of the course consists of three separate courses that include topics on creating containers, developing applications with Cloud Run, and Cloud Run functions.
Ce que vous allez apprendre
- Define containers and container images.
- Build and package applications into container images.
- Identify best practices used to create, test, and secure containers.
- Understand the basics of Cloud Run and Google Kubernetes Engine.
- Understand the fundamentals of Cloud Run that include the resource model, container lifecycle, and autoscaling.
- Develop and test applications locally before deploying to Cloud Run.
- Use service identity and IAM with Cloud Run.
- Integrate Cloud Run applications with Google Cloud services.
- Develop, test, and deploy Cloud Run functions on Google Cloud.
Prérequis
- Familiarity with Linux commands and command line interface.
- Knowledge of the Google Cloud console, gcloud CLI, and networking.
- Basic understanding of programming languages such as Node.js or Python.
- Understanding of shell scripts, HTTP, and experience with HTTP client tools like cURL.
- Some understanding of other Google Cloud services such as Cloud Storage and Pub/Sub.
- Completion of the Google Cloud Fundamentals: Core Infrastructure course is recommended.
Public cible
- Partners and customers who want to learn to use the tools and services on Google Cloud to build and run containerized applications.
Programme de la Formation
12 modules pour maîtriser les fondamentaux
Objectifs
- Understand course learning objectives.
- Understand course structure and agenda.
Sujets abordés
- →Introduction to the course structure and agenda
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Prochaines sessions
Former plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance