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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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The Training Google Cloud Professional Cloud DevOps Engineer PCDE - Get Your Certification in 3 Days April 2026 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.
To ensure the quality of the Training Google Cloud Professional Cloud DevOps Engineer PCDE - Get Your Certification in 3 Days April 2026 training, Learni provides the following 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.
The assessment of skills acquired during the Training Google Cloud Professional Cloud DevOps Engineer PCDE - Get Your Certification in 3 Days April 2026 training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Discover the pillars of DevOps on Google Cloud through practical labs on the GCP console. Implement your first CI/CD pipelines with Cloud Build to automate builds and tests, integrate Artifact Registry for secure artifact management, and use Terraform for infrastructure as code. Explore real-world cases of companies scaling their deployments, with hands-on exercises to anchor essential skills for the PCDE certification in just 7 intensive hours.
Dive into advanced orchestration with Google Kubernetes Engine (GKE) and Anthos for resilient multi-cloud deployments. Configure Cloud Operations Suite for proactive monitoring, centralized logging, and intelligent alerting, via labs on GCP console simulating real production scenarios. Optimize incident management with Error Reporting and SLO/SLI, strengthening your SRE skills for the PCDE exam, in 7 hours of intensive practice and expert advice.
Decisive day dedicated to certification: structured review of all PCDE domains with focus on common pitfalls. Complete 3 timed mock multiple-choice question sessions (200+ questions), analyze your errors in group, and master exam strategies (time management, scoring). Final labs on complex GCP cases consolidate your knowledge. Leave ready to validate your Google Cloud Professional Cloud DevOps Engineer certification, with a post-training action plan for guaranteed success.
Target audience
IT professionals such as system administrators, cloud architects, developers, cloud engineers, and DevOps engineers aiming to quickly obtain the Google Cloud Professional Cloud DevOps Engineer (PCDE) certification to boost their career in hybrid and multi-cloud environments.
Prerequisites
At least 1 year of experience in DevOps or cloud computing (GCP recommended). Google Associate Cloud Engineer certification or equivalent strongly recommended. Basic knowledge of CI/CD, containers (Docker/Kubernetes), and scripting (Python/Bash).
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