Google Cloud Platform For Placements with 3 Major Projects
Master GCP cloud skills! Hands-on projects in infrastructure, machine learning & data engineering. Get job-ready with Google Cloud.
Course Content
Google Cloud Platform For Placements with 3 Major Projects is a beginner-level Udemy course taught by Siddharth Sharma | Microsoft Certified Trainer. It runs 1h 35m, is taught in English, and includes a certificate of completion. 4 students have enrolled. It is a paid course, first published January 2025.
Google Cloud Platform (GCP) for Placements: Master Essential Cloud Skills
This comprehensive, project-driven course equips you with the essential skills and hands-on experience to excel in the competitive cloud computing job market. Whether you're a beginner or seeking to expand your existing cloud knowledge, this course provides a practical understanding of Google Cloud Platform (GCP) through real-world projects and challenges.
What You Will Learn:
- Google Cloud Basics: Understand core GCP services including Compute Engine, Cloud Storage, BigQuery, and Kubernetes Engine (GKE).
- Cloud Networking & Security: Learn to establish secure cloud environments using VPCs, IAM (Identity and Access Management), Cloud Armor, and other security tools.
- Data Engineering: Master data processing and analysis with BigQuery, Cloud Pub/Sub, and Dataflow.
- Machine Learning on GCP: Explore Google's AI and ML tools, including Vertex AI, TensorFlow, and AutoML for building intelligent applications.
- Deployment and Automation: Become proficient in CI/CD pipelines using Cloud Build, monitoring with Stackdriver, and automation tools for efficient resource management.
Three Major Projects:
- Web Application Deployment: Deploy and manage a web app on Google Compute Engine and integrate it with Cloud SQL for robust data management.
- Secure and Scalable App with GKE: Implement a secure, scalable web app leveraging Google Kubernetes Engine (GKE) with IAM roles, load balancing, and autoscaling.
- Real-Time Data Pipeline & ML: Build a real-time data pipeline using Pub/Sub and Dataflow, analyze data with BigQuery, and deploy an ML model on AI Platform.
Why Take This Course?
- Job-Ready Skills: Gain real-world experience through scenarios designed to meet employer expectations for cloud professionals.
- Hands-on Projects: Apply your knowledge in three major projects to showcase your skills on your resume and portfolio.
- Practical Cloud Knowledge: Develop in-depth knowledge of Google Cloud services utilized by leading global companies.
- Placement Focus: Develop the cloud infrastructure, machine learning, and data engineering skills highly sought after in today's job market.
Who This Course Is For:
- Aspiring cloud engineers, developers, and data scientists
- Students and professionals transitioning into the cloud computing industry
- Anyone seeking hands-on experience with Google Cloud Platform.
Prerequisites:
- No prior cloud experience is required.
- Familiarity with basic programming concepts (preferably Python) is beneficial.
By the end of this course, you'll possess the skills and confidence to deploy and manage applications on GCP, work with cutting-edge cloud data tools, and understand cloud architecture, positioning you for success in your cloud career.
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