MLOps Using GCP Explained | End-to-End ML Pipeline on Google Cloud

Want to deploy and scale ML models on Google Cloud Platform (GCP)? In this video, I explain MLOps using GCP in a simple, end-to-end way — from training to deployment and monitoring. You’ll learn: ✔️ What MLOps means on GCP ✔️ Core GCP services for MLOps (Vertex AI, BigQuery, GCS) ✔️ Building automated ML pipelines ✔️ Model versioning, deployment & monitoring ✔️ CI/CD for ML on Google Cloud ✔️ Real-world production architecture Perfect for ML engineers, data scientists, AI engineers, and anyone preparing for cloud-based MLOps roles in 2026. 🔗 Connect With Me & Resources: 💬 Discord Community: https://discord.gg/rWdVCmjAHp 📸 Instagram: https://www.instagram.com/pavithravbhuvan/ 💼 LinkedIn: https://www.linkedin.com/in/pavithra-vijayan-6a68379a/ 🎯 Topmate: https://topmate.io/pavithra_vijayan 🌐 Website: https://pavithravbhuvan.com/ 📁 GitHub: https://github.com/pavithra20august/pavithraspodcast-files