Why Learn Google Cloud Platform(GCP)?
Cloud computing is a cornerstone of modern IT, with industries worldwide adopting it to reduce costs, enhance scalability, and innovate faster.
Learning GCP cloud computing equips you with skills in cutting-edge technologies like AI/ML, data analytics, and Kubernetes. It enhances your career by opening opportunities in cloud-driven roles, boosting expertise in scalable solutions, and aligning with industry demand for Google Cloud-certified professionals.
Training Duration
The training program consists of 110 hours, scheduled for two days each week for three hours daily. The course is typically completed in approximately three months.
Course Fee
₹50,500
Course Structure
- Overview of Cloud Computing
- GCP Core Services and Tools (Compute, Storage, Networking, and Big Data)
- GCP Pricing and Free Tier
- Setting up a GCP Account and Billing
Hands On
- Create a GCP account and explore the console
- Set up billing alerts and free-tier services
- Compute Options: Compute Engine, Kubernetes Engine, and App Engine
- Storage and Databases: Cloud Storage, SQL, Firestore, and BigQuery
- Networking Basics: VPC, Load Balancers, Cloud CDN
Hands On
- Create a VM instance using Compute Engine
- Deploy a simple application on App Engine
- Use Cloud Storage to upload/download files
- Identity and Access Management (IAM) Overview
- Service Accounts and Roles
- Networking Security: Firewalls, VPN, and Private Endpoints
- Best Practices for Security
Hands On
- Configure IAM policies for a project
- Set up a service account for a Compute Engine instance
- Compute Engine Deep Dive
- Kubernetes Engine Basics
- App Engine: Standard vs. Flexible Environment
- Cloud Functions and Serverless Basics
Hands On
- Deploy a multi-instance app on Kubernetes Engine
- Set up auto-scaling for Compute Engine
- Cloud SQL: Setting Up and Managing Databases
- Firestore: NoSQL Databases for Real-Time Apps
- Cloud Spanner Overview
- Data Warehousing with BigQuery
Hands On
- Create a Cloud SQL instance and connect to it
- Build a real-time app using Firestore
- VPC Networks, Subnets, and IP Addressing
- Load Balancing Strategies
- Hybrid Networking: Interconnect and VPN
Hands On
- Set up a VPC with subnets and firewall rules
- Configure a global HTTP load balancer
- Cloud Monitoring: Metrics and Dashboards
- Cloud Logging: Logs Analysis and Management
- Error Reporting and Debugging
Hands On
- Set up monitoring for a Kubernetes cluster
- Analyze logs and set up alerts
- Using Deployment Manager
- Introduction to Terraform with GCP
Hands On
- Create a GCP resource using Deployment Manager
- Write a Terraform script for provisioning GCP infrastructure
- Containerizing Apps with Docker
- Deploying with Kubernetes and Helm
- CI/CD Pipelines with Cloud Build
Hands On
- Build and deploy a Dockerized app to Kubernetes Engine
- Set up a CI/CD pipeline using Cloud Build
- GCP Associate Certification Overview
- Key Topics and Exam Format
- Practice Questions and Tips
Hands On
- Mock exam with group discussions
Bonus Topics
Advanced AI and Data Services
- GCP Machine Learning Basics
- Data Processing with GCP Data Factory
Cost Optimization and Governance
- GCP Cost Management and Advisor
- GCP Policy for Governance
Real-World Project
Develop a serverless backend for a web app using GCP Functions, Cosmos DB, and API Management.
Certification
At EJOBINDIA, we aim to empower our students with industry-recognized skills in cloud computing. Upon completing our training programs, students receive our institute’s certification, validating their expertise and commitment to excellence. Additionally, we provide dedicated support to help students prepare for official GCP certifications. From personalized guidance to exam preparation resources, we ensure our learners are fully equipped to achieve their professional goals in the cloud computing domain.
Lead Faculty
Saumyabrata Bhattacharya
Expert DBA, Cloud Computing, AI & ML
35 years of MNC experience, Consultant, Corporate Trainer, Data Scientist, Certified Cloud and AI Specialist
