Google Cloud Online Training
Google Cloud Platform E Learning Course covers the essentials of GCP, a comprehensive suite of cloud computing services provided by Google. This course delves into various services such as storage, compute, application development, networking, and big data. The course is designed with a learner-centric approach, ensuring a thorough understanding of Google Cloud Platform’s capabilities.
Google Cloud Online Training
Course Overview Of Google Cloud Online Training :
Unlock the Power of the Google Cloud
Our comprehensive Google Cloud Platform (GCP) training program is designed to equip you with the skills and knowledge to design, deploy, and manage scalable and secure cloud applications. Learn from industry experts and gain hands-on experience with real-world GCP projects.
Key Features:
- In-Depth Curriculum: Dive deep into core GCP services like Compute Engine, App Engine, Cloud Storage, BigQuery, and more.
- Hands-On Labs: Gain practical experience with real-world GCP scenarios.
- Expert Instructors: Learn from certified Google Cloud professionals with extensive experience.
- Flexible Learning: Study at your own pace with self-paced online courses and live online classes.
- Career-Focused Training: Prepare for Google Cloud certifications and advance your cloud career.
What You’ll Learn:
- GCP Fundamentals:
- Understanding the Google Cloud Platform
- Creating and managing GCP projects
- Navigating the Google Cloud console
- Compute Engine:
- Creating and managing virtual machines
- Configuring machine types and boot disks
- Managing network interfaces
- App Engine:
- Deploying and scaling web applications
- Configuring custom domains and SSL certificates
- Storage and Databases:
- Cloud Storage: Object storage for storing and retrieving data
- Cloud SQL: Relational database service
- Cloud Bigtable: NoSQL database for large-scale data
- Cloud Datastore: NoSQL database for flexible data modeling
- Data Analytics and Machine Learning:
- BigQuery: Serverless data warehouse
- Dataflow: Real-time and batch data processing pipelines
- Cloud Machine Learning Engine: Training and deploying machine learning models
- Networking:
- Virtual Private Cloud (VPC)
- Cloud Load Balancing
- Cloud CDN
- Security and Compliance:
- Identity and Access Management (IAM)
- Security best practices and compliance standards
- Serverless Computing:
- Google Cloud Functions
- Google App Engine (flexible environment)
Prerequisites for Google Cloud Training:
Basic Computer Skills
- Familiarity with operating systems (Windows, macOS, or Linux)
- Comfort with using a web browser and cloud-based interfaces
Understanding of Networking Concepts
- Basic knowledge of IP addresses, DNS, and HTTP/S
- Awareness of client-server architecture
Familiarity with Cloud Computing Concepts (recommended but not mandatory)
- Understanding of terms like IaaS, PaaS, SaaS, and virtualization
- Awareness of public vs private cloud models
Basic Programming/Scripting Knowledge
- Some exposure to Python, Shell scripting, or similar languages is helpful (especially for roles like DevOps or Data Engineering)
Working Knowledge of Databases (for data-related roles)
- Basic understanding of SQL and relational databases
- Optional: Familiarity with NoSQL concepts
Experience with Google Services (optional)
- Using Google Workspace (Docs, Drive, Gmail) can be an advantage
- Expert Instructors: Learn from certified Google Cloud professionals.
- Comprehensive Curriculum: Our curriculum covers all the essential GCP services and best practices.
- Hands-On Labs: Gain practical experience with real-world GCP scenarios.
- Flexible Learning: Study at your own pace with self-paced online courses and live online classes.
- Career-Focused Training: Prepare for Google Cloud certifications and advance your cloud career.
Course Content Of Google Cloud Online Training :
Module 1: Introduction to Google Cloud Platform (GCP)
- What is Cloud Computing?
- Overview of GCP and its global infrastructure
- GCP vs AWS vs Azure
- Introduction to Projects, Billing, and GCP Console
- Identity and Access Management (IAM) Basics
Module 2: Google Compute Services
- Virtual Machines with Compute Engine
- Managing VM Instances and Snapshots
- Instance Groups and Load Balancing
- Google App Engine
- Google Cloud Functions (Serverless Computing)
- Google Kubernetes Engine (GKE) Introduction
Module 3: Google Cloud Storage Solutions
- Cloud Storage (Buckets, Classes, Access Control)
- Persistent Disks and Local SSDs
- Filestore and Cloud SQL (MySQL, PostgreSQL)
- Cloud Spanner and Bigtable
- Data Archival and Lifecycle Management
Module 4: Networking in GCP
- Virtual Private Cloud (VPC) and Subnets
- Firewall Rules and Routes
- Cloud Load Balancing
- Cloud CDN and Cloud NAT
- Hybrid Connectivity (VPN and Interconnect)
Module 5: Identity, Security, and Compliance
- Managing Permissions with IAM
- Service Accounts and Roles
- Resource Hierarchy and Organization Policies
- Key Management System (KMS)
- Audit Logs and Security Command Center
Module 6: Data and Analytics Services
- BigQuery: Serverless Data Warehouse
- Cloud Dataflow: Stream & Batch Data Processing
- Cloud Dataproc: Managed Spark & Hadoop
- Pub/Sub: Event Ingestion & Messaging
- Data Studio for Visualization
Module 7: DevOps & CI/CD on GCP
- Cloud Source Repositories
- Cloud Build and Container Registry
- Cloud Deploy (CI/CD pipelines)
- Infrastructure as Code with Deployment Manager and Terraform
Module 8: Monitoring, Logging, and Operations
- Google Cloud’s Operations Suite (formerly Stackdriver)
- Monitoring Metrics and Dashboards
- Cloud Logging and Error Reporting
- Tracing and Debugging Tools
Module 9: Machine Learning & AI (Intro)
- AI Platform Overview
- Using Pre-trained ML APIs (Vision, Speech, NLP)
- Intro to TensorFlow on GCP
- Vertex AI (formerly AI Platform Unified)
Module 10: Real-Time Projects & Labs
- Deploying a Web App on GCP
- Building a Data Pipeline with Pub/Sub, Dataflow, and BigQuery
- Setting up a Kubernetes Cluster with GKE
- CI/CD Pipeline with Cloud Build
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