Welcome to Google Cloud Platform for Placements, a comprehensive, project-driven course designed to equip you with the essential skills and hands-on experience needed to succeed in today’s cloud computing job market. Whether you're a beginner or looking to expand your existing cloud knowledge, this course will provide you with a practical understanding of Google Cloud Platform (GCP) through real-world projects and challenges.What Will You Learn:Google Cloud Basics: Understand the core services of GCP, including Compute Engine, Cloud Storage, BigQuery, and Kubernetes Engine.Cloud Networking & Security: Set up secure cloud environments with VPCs, IAM, Cloud Armor, and more.Data Engineering: Learn how to use BigQuery, Cloud Pub/Sub, and Dataflow for efficient data processing and analysis.Machine Learning on GCP: Dive into Google’s AI and ML tools, including Vertex AI, TensorFlow, and AutoML.Deployment and Automation: Master CI/CD pipelines using Cloud Build, monitoring with Stackdriver, and managing resources with automation tools.Three Major Projects:Web Application Deployment: Deploy and manage a web app on Google Compute Engine and integrate it with Cloud SQL for data management.Secure and Scalable App with GKE: Implement a secure, scalable web app using Google Kubernetes Engine with IAM roles, load balancing, and autoscaling.Real-Time Data Pipeline & ML: Build a real-time data pipeline using Pub/Sub and Dataflow, analyze the data with BigQuery, and deploy an ML model on AI Platform.Why Take This Course:Job-Ready Skills: The course is designed with real-world scenarios to help you gain experience that employers are looking for in cloud prof
What you'll learn
Core services of Google Cloud Platform including Compute Engine and Cloud Storage
Setting up secure environments with VPCs and IAM
Data processing using BigQuery and Dataflow
Implementing machine learning tools like Vertex AI and TensorFlow
Mastering CI/CD pipelines with Cloud Build
Course objectives
Equip students with job-ready skills in cloud computing
Provide real-world scenarios through hands-on projects
Enhance understanding of data engineering and machine learning in GCP