GOOGLE CLOUD PLATFORM ONLINE TRAINING

Introduction to Compute Engine virtual machines

Managing App Engine for platform-as-a-service

Working with Cloud Functions (serverless computing)

Overview of Cloud Storage classes and buckets

Persistent Disk types and management

Cloud SQL and Cloud Firestore basics

Setting up Cloud Storage lifecycle management

Using Snapshots and Disk images for backup

Understanding Virtual Private Cloud (VPC) concepts

Creating and managing subnets and IP ranges

Configuring firewall rules and security policies

Setting up Load Balancers and their types

Overview of Cloud DNS and domain management

VPN and Cloud Interconnect basics

Using Network Tags and Service Accounts for network security

Configuring Private Google Access and routing

Introduction to IAM roles and permissions

Managing users and groups in GCP

Setting up service accounts and keys

Applying least privilege access principles

Understanding IAM policies and inheritance

Auditing and monitoring IAM activities

Integrating IAM with Cloud Identity

Best practices for securing GCP resources

Basics of containerization and Docker

Setting up and managing GKE clusters

Deploying containerized applications on Kubernetes

Managing pods, deployments, and services

Configuring namespaces and RBAC in Kubernetes

Autoscaling and load balancing in GKE

Monitoring and logging Kubernetes clusters

Upgrading and maintaining Kubernetes clusters

Introduction to Infrastructure as Code (IaC)

Writing and deploying YAML templates

Using Deployment Manager to manage resources

Parameterizing and modularizing templates

Validating and testing templates before deployment

Managing update and rollback strategies

Integrating Deployment Manager with CI/CD pipelines

Troubleshooting deployment errors and logs

Overview of BigQuery and its architecture

Loading and querying datasets in BigQuery

Using Dataflow for real-time data processing

Understanding Dataproc for managed Hadoop/Spark

Setting up Pub/Sub for messaging and event ingestion

Visualizing data with Data Studio

Managing datasets and table partitions

Security and compliance in data analytics

Introduction to AI and machine learning concepts

Using AI Platform for model training and deployment

Overview of pre-built APIs: Vision, Speech, NLP

Building custom ML models with TensorFlow on GCP

Managing datasets and feature stores

Deploying models for online and batch predictions

Monitoring model performance and versioning

Ethical considerations and data privacy in AI

Understanding GCP security model and shared responsibility

Configuring network security with VPC Service Controls

Managing encryption at rest and in transit

Using Security Command Center for threat detection

Setting up DLP (Data Loss Prevention) API

Compliance frameworks supported by GCP

Identity-aware proxy and secure access

Incident response and audit logging

Introduction to Google Cloud’s Operations Suite (Stackdriver)

Setting up monitoring dashboards and alerts

Collecting and analyzing logs with Cloud Logging

Debugging applications with Cloud Debugger

Using Cloud Trace for latency analysis

Implementing uptime checks and SLA monitoring

Automating incident response workflows

Best practices for maintaining cloud health

Overview of serverless computing concepts

Deploying and managing Cloud Functions

Understanding App Engine standard vs flexible environments

Scaling and autoscaling in serverless environments

Integrating serverless with other GCP services

Monitoring serverless applications

Debugging and logging in serverless platforms

Cost optimization strategies for serverless

Introduction to CI/CD and DevOps on GCP

Setting up Cloud Build for automated pipelines

Managing source code with Cloud Source Repositories

Using Cloud Deploy for release management

Integrating automated testing and security scans

Deploying infrastructure changes with Terraform and Deployment Manager

Monitoring and troubleshooting CI/CD workflows

Best practices for pipeline security and efficiency

Understanding GCP pricing models and calculators

Setting up budgets and alerts for cost control

Using Billing Reports and Cost Tables

Managing billing accounts and permissions

Cost optimization strategies and recommendations

Using committed use contracts and sustained use discounts

Tracking resource usage and forecasting expenses

Integrating cost management into DevOps processes

Working on real-world cloud deployment projects

Practice labs for core GCP services

Mock exams and quiz assessments

Tips for Google Cloud Associate and Professional certification exams

Review of exam objectives and domains

Time management strategies for certification tests

Troubleshooting common issues during exams

Career guidance and job interview preparation