Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Google Cloud Run - Deploying Serverless Containers in Production training are: Docker basics, cloud computing fundamentals, and programming knowledge (Node.js or Python recommended). A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Google Cloud Run - Deploying Serverless Containers in Production training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Google Cloud Run - Deploying Serverless... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Google Cloud Run - Deploying Serverless Containers in Production training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Google Cloud Run - Deploying Serverless Containers in Production training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Google Cloud Run - Deploying Serverless Containers in Production training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master the fundamentals of Google Cloud Run for professional serverless deployments

Develop and containerize production-ready applications

Configure automatic scaling and certified GCP integrations

Implement event management and enterprise databases

Optimize costs and security for serverless containers

Deploy a complete Google Cloud Run app with advanced monitoring

Training program

Module 1Google Cloud Run Fundamentals: Serverless Architecture and Setup (GCP Console, gcloud CLI)

Immersive discovery of Google Cloud Run via the GCP console and gcloud CLI, creation of a secure project account, exploration of serverless architecture without infrastructure management, first tests of deploying a simple Node.js container, practical exercises on ready-to-use Docker images, analysis of initial logs to validate basic production skills in 2026.

Module 2Containerization for Google Cloud Run: Docker and Buildpacks (Dockerfile, Cloud Build)

Building optimized Docker images for Google Cloud Run using multi-stage Dockerfiles, using native buildpacks to accelerate deployments without local Docker, integration of Cloud Build for automated CI/CD pipelines, exercises on real web apps in Python and Go, local testing with Cloud Run emulation, production of containerized deliverables ready for enterprise use.

Module 3Google Cloud Run Deployment: Scaling, Traffic, and Revisions (Services, Revisions, Knative)

Smooth deployment of Google Cloud Run services with revision management and traffic splitting, configuration of automatic CPU/memory scaling based on concurrency, exploration of Knative under the hood for infinite scalability, practical workshops on simulated variable loads, connection to Cloud SQL for data persistence, optimization of cold starts for high-performance apps in 2026.

Module 4Google Cloud Run Integrations: Events, Pub/Sub, and Monitoring (Eventarc, Cloud Logging)

Integration of serverless events via Eventarc and Cloud Pub/Sub for asynchronous workflows, development of reactive functions on HTTP triggers or messages, setup of monitoring with Cloud Logging and Metrics Explorer, exercises on enterprise cases like real-time log processing, securing with IAM and VPC, creation of a custom dashboard to track production metrics.

Module 5Google Cloud Run in Production 2026: Security, Costs, and Best Practices (VPC, Binary Authorization)

Advanced securing of Google Cloud Run deployments with VPC connector and Binary Authorization, cost optimization via GCP budgets and concurrent requests, migration to 2026 features like AI integrations, complete red thread project with end-to-end deployment, final audit and certifying action plan, delivery of reusable templates to accelerate your professional projects.