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Google Cloud Platform Course info

This 50-hour Google Cloud Platform Course is designed to help people understand GCP services, gain hands-on experience, and prepare for GCP certification exams. Each module includes practical labs to reinforce theoretical concepts, ensuring a well-rounded learning experience. The Google Cloud Platform Course is a 50-hour immersive program that delves into the core components of GCP. Participants will gain practical experience through hands-on labs, real-world scenarios, and projects that simulate the challenges encountered in cloud environments.

Upon completion of the course, participants will receive assistance and guidance in preparing for Google Cloud Platform certification exams. Additionally, placement support will be provided to help connect participants with job opportunities in the rapidly growing field of cloud computing.

This comprehensive program equips participants with the necessary skills and knowledge to excel in the field of cloud computing, leveraging Google Cloud Platform’s robust capabilities. Course graduates can join a community of GCP-certified professionals and start careers in cloud technology.

Join us for an enriching learning experience and become proficient in leveraging Google Cloud Platform for scalable and innovative solutions.

Google Cloud Platform Course Content

Lesson 1: Overview of GCP
Lesson 2: Introduction to Cloud Computing
Lesson 3: Google Cloud Platform Overview
Lesson 4: GCP Console Navigation
Lesson 5: GCP Products and Services
Lesson 6: Compute, Storage, and Database Services
Lesson 7: Networking Solutions
Lesson 8: Analytics and Machine Learning Tools
Lesson 9: Getting Started with GCP
Lesson 10: Setting Up a GCP Account
Lesson 11: GCP Free Tier and Billing Basics
Lesson 12: Introduction to GCP SDK and Cloud Shell

Lesson 1: Compute Engine Instances
Lesson 2: Creating and Managing Virtual Machines
Lesson 3: Customizing VMs with Machine Types
Lesson 4: Disk Management and Snapshots
Lesson 5: App Engine for Scalable Applications
Lesson 6: Introduction to App Engine
Lesson 7: Deploying and Managing Applications
Lesson 8: Scaling and Monitoring
Lesson 9: Kubernetes Engine for Container Orchestration
Lesson 10: Container Basics and Docker
Lesson 11: Kubernetes Overview
Lesson 12: Deploying Applications with Kubernetes

Lesson 1: Cloud Storage for Object Storage
Lesson 2: Bucket Creation and Management
Lesson 3: Access Control and Storage Classes
Lesson 4: Data Transfer and Retrieval
Lesson 5: Cloud SQL and Cloud Spanner for Relational Databases
Lesson 6: Configuring Cloud SQL Instances
Lesson 7: Spanner for Globally Distributed Databases
Lesson 8: High Availability and Backup Strategies
Lesson 9: NoSQL Solutions: Cloud Firestore and Bigtable
Lesson 10: Introduction to NoSQL
Lesson 11: Firestore for Document Storage
Lesson 12: Bigtable for Large-Scale Data

Lesson 1: Virtual Private Cloud (VPC)
Lesson 2: Creating and Managing VPCs
Lesson 3: Subnets, Routes, and Firewalls
Lesson 4: VPNs and Interconnects
Lesson 5: Load Balancing and CDN
Lesson 6: Network Load Balancing
Lesson 7: HTTP(S) Load Balancing
Lesson 8: Cloud Interconnect for Hybrid Connectivity
Lesson 9: Hybrid Cloud Architecture
Lesson 10: Interconnect and Peering Options
Lesson 11: Best Practices for Hybrid Deployments

Lesson 1: Identity and Access Management (IAM)
Lesson 2: IAM Roles and Permissions
Lesson 3: Service Accounts and API Keys
Lesson 4: Security Best Practices
Lesson 5: GCP Security Features and Best Practices
Lesson 6: Key Management Service (KMS)
Lesson 7: Identity-Aware Proxy (IAP)
Lesson 8: Security Command Center

Lesson 1: BigQuery for Analytics
Lesson 2: Introduction to BigQuery
Lesson 3: SQL Queries and Data Manipulation
Lesson 4: BigQuery ML for Machine Learning
Lesson 5: Cloud Dataflow for Stream and Batch Processing
Lesson 6: Dataflow Basics and Concepts
Lesson 7: Streaming and Batch Processing
Lesson 8: Real-time Data Analysis
Lesson 9: Machine Learning APIs and TensorFlow on GCP
Lesson 10: Using Pre-trained ML APIs
Lesson 11: Custom Model Training with TensorFlow
Lesson 12: Deploying ML Models on GCP

Lesson 1: Capstone Project
Lesson 2: Real-world Scenario Simulation
Lesson 3: Project Deployment and Presentation
Lesson 4: Q&A and Feedback

Lesson 1: Certification Exam Preparation
Lesson 2: Overview of GCP Certification Paths
Lesson 3: Exam Tips and Strategies
Lesson 4: Placement Support
Lesson 5: Resume Building and LinkedIn Optimization
Lesson 6: Interview Preparation and Mock Interviews
Lesson 7: Job Search Assistance

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