GCP (Google Cloud Platform) Certification Training
Introduction to Google Cloud Platform
Learn the fundamentals of Google Cloud Platform (GCP), including its core services and solutions. Understand how GCP can help businesses leverage cloud computing for scalability, reliability, and performance.
Setting Up Your GCP Environment
Explore how to set up a GCP account and navigate the Google Cloud Console. Learn how to create and manage projects, configure billing, and understand the basics of GCP resource hierarchy.
Compute Engine and Virtual Machines
Study how to deploy and manage virtual machines using GCP's Compute Engine. Learn about VM instances, machine types, disk options, and best practices for managing compute resources.
Cloud Storage and Databases
Understand the various storage options available on GCP, including Cloud Storage, Cloud SQL, and Bigtable. Learn how to choose the right storage solution for different types of data and workloads.
Networking in GCP
Learn about networking in Google Cloud, including VPC networks, subnets, firewalls, and load balancing. Understand how to set up secure and efficient network architectures for your applications.
Managing and Deploying Applications
Discover how to deploy, manage, and scale applications on GCP using services like Google Kubernetes Engine (GKE), App Engine, and Cloud Run. Learn how to choose the right service for your needs.
Security and Identity Management
Learn best practices for securing your GCP environment. Explore Identity and Access Management (IAM), security keys, and how to implement robust security policies to protect your cloud resources.
Monitoring and Logging with Stackdriver
Explore Google Cloud's tools for monitoring and logging, including Cloud Monitoring and Cloud Logging. Learn how to set up alerts, visualize metrics, and analyze logs to maintain the health of your applications.
Data and Machine Learning Services
Understand the data and machine learning services provided by GCP, such as BigQuery, Dataflow, and AI Platform. Learn how to process large datasets and build machine learning models on Google Cloud.
Preparing for GCP Certification Exams
Discover the different GCP certification paths available, including Associate Cloud Engineer and Professional Cloud Architect. Learn tips and strategies for preparing for and passing the GCP certification exams.
Hands-On Labs and Projects
Engage in hands-on labs and projects to apply your knowledge of GCP services. Work on real-world scenarios to gain practical experience in deploying, managing, and optimizing Google Cloud solutions.
GCP (Google Cloud Platform) Certification Syllabus
Introduction to Google Cloud
- Overview of GCP
- Setting up a Google Cloud account
- Navigating the Google Cloud Console
- Understanding projects, billing, and resource management
Compute Services
- Compute Engine
- VM instances
- Instance groups
- Load balancing
- Autoscaling
- App Engine
- Standard vs. Flexible environments
- Application deployment
- Scaling applications
- Kubernetes Engine (GKE)
- Cluster setup
- Deploying containers
- Managing workloads
Storage and Databases
- Cloud Storage
- Buckets and objects
- Lifecycle management
- Security and permissions
- Cloud SQL
- MySQL and PostgreSQL setup
- Database administration
- High availability
- Cloud Spanner
- Schema design
- Transactions and queries
- Cloud Firestore & Bigtable
- NoSQL database setup
- Data modeling
Networking
- VPC Networking
- VPC and subnets
- IP address management
- Firewall rules
- Hybrid Connectivity
- Cloud VPN
- Interconnect
- Network Services
- Cloud Load Balancing
- Cloud CDN
- Cloud DNS
Security and Identity Management
- Identity and Access Management (IAM)
- Roles and permissions
- Service accounts
- Security Services
- Cloud Security Command Center
- Data Loss Prevention
- Best Practices
- Network security
- Data encryption
Data Analytics and Machine Learning
- BigQuery
- Data warehouse concepts
- Writing SQL queries
- Managing datasets
- Dataflow
- Streaming and batch data processing
- AI and ML Services
- AI Platform
- Pre-trained models (Vision, Natural Language, etc.)
- Building custom models
DevOps and Monitoring
- Cloud Build
- CI/CD pipelines
- Automated testing
- Deployment Manager
- Infrastructure as Code (IaC)
- Templates and configuration files
- Monitoring and Logging
- Stackdriver (Monitoring, Logging, Error Reporting)
- Alerts and dashboards
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details