Professional Cloud Network Engineer

Service Description

Google Cloud Certified: Professional Cloud Network Engineer certification focuses on designing, managing, and securing scalable and efficient network architectures on Google Cloud. It plays a critical enabling role in making AI systems performant, secure, and production-ready—especially for large-scale, real-time, and distributed AI applications. Majority of AI solutions globally are cloud-native or cloud-supported since Ai data is in the cloud. This Essential Certification will empower you with following learning - 1. Design low-latency, high-throughput networks for data-intensive AI/ML pipelines 2. Optimize data transfer between Cloud Storage, BigQuery, and Vertex AI 3. Architect networks for distributed AI training and inference (e.g., TPU/GPU clusters) You will explore following - 1. Pub/Sub, Dataflow, and VPC Peering to enable real-time ingestion for AI (e.g., fraud detection, personalization) 2. Architect hybrid cloud and multi-region networks that support AI pipelines 3. Design global load balancing for AI APIs deployed via Vertex AI or Cloud Run This Essential Certification from Google is designed to help you in - 1. Use VPC Service Controls to protect sensitive ML data 2. Implement Private Google Access and Cloud NAT to restrict external exposure of models 3. Set up firewalls, peering, VPNs, and interconnects for secure AI deployments 4. Networking solutions that connect on-prem data centers with GCP, useful for training models on private datasets 5. Secure links between AI tools in different clouds (e.g., Google + AWS or Azure) 6. Global VPCs for multi-region LLM serving or GenAI APIs 7. Redundant, autoscaling network architectures for AI APIs 8. Load balancers for multi-model endpoints (e.g., A/B testing, model ensembles) 9. Routing policies and DNS for AI microservices Google Cloud Network Engineer certification gives you the skills to build and secure scalable, high-performance networks that support AI systems. It’s ideal for professionals enabling real-time AI, global GenAI applications, and hybrid model pipelines. Category Advanced Exam duration 120 minutes Link for Exam Registration - https://cp.certmetrics.com/google/en/login Certification Exam Cost - 200 USD Exam Format - Online-proctored or onsite-proctored Karamchaari.ai Exam Pass Success Rate - 100% in Your 1st Attempt