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
Master Google Cloud Training From Experts
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 understanding of cloud computing concepts
- Familiarity with programming languages (Python, Java)
Why Choose Our GCP Training Program?
- 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.
Join our community of cloud professionals and unlock the power of the cloud!
Mastering Google Cloud Online Training Course Content
Module 1: Introduction to Google Cloud Platform (GCP)
- Understanding GCP:
- Overview of Google Cloud Platform
- Core services and their use cases
- Benefits of using GCP
- Getting Started with GCP:
- Creating a GCP account
- Navigating the Google Cloud console
- Setting up billing and project
- GCP Fundamentals:
- Regions and zones
- Virtual Private Cloud (VPC)
- Identity and Access Management (IAM)
Module 2: Compute Engine
- Virtual Machines:
- Creating and managing virtual machines
- Configuring machine types and boot disks
- Managing network interfaces
- Load Balancing:
- Load balancer types (HTTP(S), TCP, SSL)
- Load balancer configuration
- Health checks and auto-scaling
- Auto Scaling:
- Auto-scaling groups
- Scaling policies
- Scaling based on metrics
Module 3: App Engine
- App Engine Standard Environment:
- Deploying web applications
- Scaling applications automatically
- Configuring custom domains
- App Engine Flexible Environment:
- Deploying custom runtimes
- Managing application instances
- Scaling applications
Module 4: Storage and Databases
- Cloud Storage:
- Object storage for storing and retrieving data
- Bucket creation and access control
- Data transfer and lifecycle management
- Cloud SQL:
- Relational database service
- Creating and managing databases
- Database replication and failover
- Cloud Bigtable:
- NoSQL database for large-scale data
- Data modeling and querying
- Cloud Datastore:
- NoSQL database for flexible data modeling
- Data consistency and scalability
Module 5: Data Analytics and Machine Learning
- BigQuery:
- Serverless data warehouse
- SQL queries for data analysis
- Machine learning with BigQuery ML
- Dataflow:
- Real-time and batch data processing pipelines
- Data ingestion, transformation, and analysis
- Cloud Machine Learning Engine:
- Training and deploying machine learning models
- Hyperparameter tuning
- Model evaluation and prediction
Module 6: Networking
- Virtual Private Cloud (VPC):
- Creating and managing VPC networks
- Subnets and route tables
- Network address translation (NAT)
- Cloud Load Balancing:
- Load balancer types and use cases
- Configuring load balancers
- Health checks and auto-scaling
- Cloud CDN:
- Content delivery network for faster content delivery
Module 7: Security and Compliance
- IAM:
- Creating and managing IAM roles and policies
- Controlling access to resources
- Security Best Practices:
- Securing virtual machines and networks
- Data encryption and key management
- Vulnerability scanning and patching
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