💰 100000

Eligibility:

Graduation and Languages

Understand the fundamentals of Google Cloud Platform (GCP) architectureLearn to develop, deploy, and manage applications on Google CloudGain hands-on experience with Compute Engine, App Engine, and Kubernetes EngineBuild and deploy serverless applications using Cloud FunctionsMaster cloud storage, databases, and APIs for scalable app developmentLearn to configure IAM roles and manage cloud security policiesOptimize performance and monitor resources in GCP environmentsPrepare for Google Cloud Platform Developer Certification examsApply cloud-native development practices for real-world projectsEnhance career opportunities as a certified Google Cloud Platform Developer

Course Description

The Google Cloud Platform Developer course teaches how to design, build, and deploy applications on GCP. It covers cloud services, serverless computing, APIs, security, CI/CD, Kubernetes, and best practices for scalable cloud-native applications.

Modules

Introduction to Google Cloud Platform (GCP) & Cloud Fundamentals
GCP Networking & Security Best Practices
Cloud Native Development & Serverless Computing
Data Engineering & Big Data Analytics
Machine Learning & AI Services in GCP
DevOps & Infrastructure as Code
Multi-Cloud & Hybrid Cloud Solutions
Capstone Project & Career Guidance

Projects

Set up a GCP account and configure IAM roles
Deploy a Virtual Machine using Compute Engine
Set up a secure VPC and firewall rules
Configure a Cloud VPN and hybrid cloud connection
Deploy a full-stack web application using App Engine
Build a serverless function using Cloud Functions
Process streaming data using Cloud Dataflow
Analyze large datasets using BigQuery
Train and deploy an AI model using Vertex AI
Build a chatbot using Dialogflow & Cloud AI
Automate infrastructure deployment using Terraform
Deploy and manage containers using GKE
Implement monitoring and alerting with Cloud Monitoring
Deploy a Kubernetes-based microservices app across multiple clouds
Implement cloud storage migration between AWS & GCP
Choose a real-world problem and implement a complete GCP solution
Present & document architecture, security, and cost optimization

Assignments

Set up a GCP account and configure IAM roles
Deploy a Virtual Machine using Compute Engine
Set up a secure VPC and firewall rules
Configure a Cloud VPN and hybrid cloud connection
Deploy a full-stack web application using App Engine
Build a serverless function using Cloud Functions
Process streaming data using Cloud Dataflow
Analyze large datasets using BigQuery
Train and deploy an AI model using Vertex AI
Build a chatbot using Dialogflow & Cloud AI
Automate infrastructure deployment using Terraform
Deploy and manage containers using GKE
Implement monitoring and alerting with Cloud Monitoring
Deploy a Kubernetes-based microservices app across multiple clouds
Implement cloud storage migration between AWS & GCP
Choose a real-world problem and implement a complete GCP solution
Present & document architecture, security, and cost optimization

Certificate

Practical AI-integrated Project (40%)
Final Online Test (60%)
NxT Certified Google Cloud Platform Developer Certificate
awarded upon successful completion.