Google Cloud Training
Introduction to Google Cloud
Gain a comprehensive overview of Google Cloud, a suite of cloud computing services offered by Google. Learn about its core services, architecture, and how it can help businesses with scalability, flexibility, and cost-efficiency.
Google Cloud Core Services
Explore the fundamental services offered by Google Cloud, including Compute Engine, Cloud Storage, and BigQuery. Understand how these services work together to provide a robust cloud environment.
Setting Up Google Cloud Environment
Learn how to set up your Google Cloud environment. This includes creating a Google Cloud project, setting up billing, configuring IAM roles and permissions, and navigating the Google Cloud Console.
Data Storage and Management
Study the various data storage options available in Google Cloud, including Cloud Storage, Cloud SQL, and Cloud Spanner. Learn about data management best practices and how to choose the right storage solution for your needs.
Compute Services and Virtual Machines
Discover Google Cloud's compute services, such as Compute Engine and Google Kubernetes Engine. Learn how to deploy and manage virtual machines, containers, and applications using these services.
Networking and Security
Understand Google Cloud's networking capabilities, including Virtual Private Cloud (VPC), Cloud Load Balancing, and Cloud CDN. Learn about security features such as encryption, IAM, and audit logs to protect your cloud resources.
Big Data and Analytics
Explore Google Cloud's big data and analytics tools, including BigQuery, Dataflow, and Dataproc. Learn how to process and analyze large datasets to gain insights and drive data-driven decision-making.
Machine Learning and AI
Learn about Google Cloud's machine learning and artificial intelligence services. Explore tools such as AutoML, AI Platform, and TensorFlow to build and deploy machine learning models and AI solutions.
Monitoring and Management
Discover tools for monitoring and managing your Google Cloud environment, including Cloud Monitoring, Cloud Logging, and Cloud Operations. Learn how to track performance, set up alerts, and optimize your cloud infrastructure.
Cost Management and Optimization
Understand Google Cloud's cost management and optimization features. Learn about setting budgets, analyzing spending, and using cost management tools to keep your cloud costs under control.
Hands-On Labs and Projects
Engage in hands-on labs and projects to apply your Google Cloud knowledge. Work on real-world scenarios to develop practical skills in deploying, managing, and optimizing Google Cloud resources.
Google Cloud Platform Syllabus
1. Introduction to Google Cloud Platform
- Introduction to Cloud Computing
- Overview of Google Cloud Platform (GCP)
- Useful Links and Documentation
- Google Cloud Platform Resource Overview:
- Compute
- Networking
- Storage
- Big Data and Artificial Intelligence
- Tools and Operations
2. Managing GCP
- Managing Google Cloud Platform with Console
- Managing Google Cloud Platform with Command Line
- Google Cloud SDK Installation
- Understand gcloud, gsutil, and other Command-Line Tools
- Google Cloud Platform Projects and Billing
- Understand GCP Projects
- Project User Roles
3. Google Cloud Platform Virtual Networks
- Global Footprint: Regions, Zones, and Edge Locations
- Virtual Private Cloud
- Cloud Load Balancing
- Virtual Private Network
4. Security & Identity Fundamentals
- Overview of IAM
- IAM Service Account
- Identity Aware Proxy (IAP)
- Cloud KMS
5. Compute Services
- Compute Engine and Virtual Machines
- Machine Types in Compute Engines
- Compute Options
- Disk Options
- Advanced Options in Compute Engine
6. Data Storage Services
- Data Service Options
- GCP Storage
- Cloud SQL
- Cloud Spanner
- Cloud Datastore and Cloud Firestore
- Cloud Bigtable
7. Architecting with Google Kubernetes Engine
- Monolithic and Microservice Architecture
- Containers
- Docker
- Kubernetes
- Google Kubernetes Engine
- Helm Package Manager
8. Application Development
- Compute Service and App Engine
- Cloud Function
- Cloud Run
- Cloud VMware Engine
9. DevOps
- DevOps
- Cloud Source Repository
- Jenkins with Google Cloud
- Cloud Logging Services
- Cloud Monitoring Service
10. Automation
- Cloud Resources
- Configuration
- Template
- Deployment Manager
11. Big Data and AI Services
- Managed Services
- Dataflow
- Pub/Sub
- BigQuery
- Datalab
12. GCP Architect Cheat Sheet and Case Studies
- Cheat Sheets for Various GCP Services
- Real World Implementations of GCP in Various Case Studies
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