Google Cloud Platform Training
Welcome to Proximsoft’s advanced Google Cloud Platform (GCP) Training, your key to mastering cloud computing with Google’s cutting-edge cloud services. Developed by seasoned industry experts, our program offers a comprehensive exploration of GCP, equipping you with the skills required to navigate the diverse landscape of cloud computing. At Proximsoft, we take pride in presenting a meticulously designed course that combines theory and hands-on experience, ensuring you become proficient in leveraging GCP for various applications.
In this course, you will delve into the fundamentals of cloud computing, understand GCP’s architecture, explore security and identity concepts, and learn to manage GCP efficiently using various tools. Our hands-on approach includes real-world case studies, live projects, and practical sessions to prepare you for a successful career in the ever-evolving field of cloud technology.
Why Learn Google Cloud Platform?
- GCP is a leading player in the cloud computing industry, offering a suite of services for infrastructure, platform, and serverless computing environments.
- Cloud computing is a rapidly growing field with vast job opportunities. Mastering GCP opens doors to roles in Cloud infrastructure, application development, data engineering, analytics, and more.
- GCP certification enhances your professional credibility and increases your chances of securing lucrative positions in the tech industry.
- Proximsoft’s GCP training provides hands-on experience with various tools and services, making you job-ready and well-prepared for real-world scenarios.
Mode of Training | Online live Interactive sessions |
Duration of the Training | 6 weeks |
Training duration per day | 60 – 90 min session |
Software Access | Software will be installed/server access will be provided, whichever is possible |
Training Materials | Soft copy of the material will be provided during the training |
Training fee | Depends on the Requirement |
Resume Preparation | Yes, at the end of the course based on the JD |
Interview Preparation | Yes, by sharing some FAQ’s |
Mock calls | Yes, 2 Technical Mock calls |
Internship Project | Yes |
Certification | Yes, at the end of the training |
JOB Assistance | Yes |
JOB Support | Yes |
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Weekdays | 6AM -2 PM EST & 6-11:30 PM EST (student can pick any 1 hr) |
Weekends | 8 AM – 12 PM EST (student can pick any 2 hrs) |
What I will learn?
- Introduction to Cloud Computing and Google Cloud Platform
- Managing GCP using Console and Command Line
- Virtual Networks and Cloud Load Balancing
- Security and Identity Fundamentals (IAM, IAP, Cloud KMS)
- Compute Services (Compute Engine, Machine Types, Disk Options)
- Data Storage Services (Cloud Storage, Cloud SQL, Cloud Spanner, etc.)
- Architecting with Google Kubernetes Engine
- Application Development (Compute Service, App Engine, Cloud Function, etc.)
- DevOps and Automation (Jenkins, Cloud Logging, Cloud Monitoring)
- Big Data and AI Services (Dataflow, Pub/Sub, BigQuery, etc.)
- GCP Architect Cheat Sheet and Case Studies
Course Content
- Cloud Computing Fundamentals
- Overview of Google Cloud Platform
- GCP Resource Overview: Compute, Networking, Storage
- Managing GCP with Console and Command Line
- Google Cloud SDK Installation
- GCP Projects and Billing
- Global Footprint: Regions, Zones, and Edge Locations
- Virtual Private Cloud (VPC)
- Cloud Load Balancing and Virtual Private Network
- IAM (Identity and Access Management)
- IAM Service Account and Identity Aware Proxy (IAP)
- Cloud KMS (Key Management Service)
- Compute Engine and Virtual Machines
- Machine Types, Disk Options, and Advanced Compute Options
- Data Service Options
- Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, Cloud Firestore, Cloud Bigtable
- Monolithic and Microservice Architecture
- Containers, Docker, and Kubernetes
- Google Kubernetes Engine and Helm Package Manager
- Compute Service and App Engine
- Cloud Function, Cloud Run, and Cloud VMware Engine
- DevOps Overview
- Cloud Source Repository, Jenkins with Google Cloud
- Cloud Logging Services and Cloud Monitoring Service
- Cloud Resources and Configuration
- Template and Deployment Manager
- Managed Services
- Dataflow, Pub/Sub, BigQuery, Datalab
- Cheat sheets for various GCP services
- Real-world implementations of GCP
Requirements
- No specific prerequisites are required for this course. However, a basic understanding of cloud computing concepts will be beneficial.