Google Cloud Platform For Placements with 3 Major Projects
About this course
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
69/100
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- What the provider tells you
- 45/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
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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
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