GCP Training in Shenoynagar
Overview
Master Google Cloud Platform with our hands-on training in Shenoy Nagar. Explore the robust features of GCP to efficiently manage and scale your cloud infrastructure. Our course is designed to give you practical experience with cloud services, ensuring you can deploy, manage, and optimize applications effectively. Perfect for professionals seeking to boost their cloud skills and enhance career opportunities in the cloud computing domain. Join us to advance your expertise in GCP!
Syllabus
- Introduction to cloud computing
- Overview of Google Cloud Platform (GCP)
- GCP global infrastructure regions and zones
- Understanding GCP projects and billing
- Compute Engine
- Creating and managing virtual machines (VMs)
- Custom machine types and preemptible VMs
- Autoscaling and load balancing
- Google Kubernetes Engine (GKE)
- Introduction to Kubernetes and container orchestration
- Deploying containerized applications on GKE
- Managing Kubernetes clusters
- App Engine
- Building and deploying scalable web applications
- App Engine environments (standard and flexible)
- Cloud Storage
- Storing and accessing data objects
- Different storage classes and lifecycle management
- Cloud SQL
- Managed MySQL and PostgreSQL databases
- High availability, backups, and replication
- Cloud Spanner
- Globally distributed, horizontally scalable SQL database
- Strong consistency and ACID transactions
- Bigtable
- NoSQL big data database service
- High performance and scalability for analytical and operational workloads
- Virtual Private Cloud (VPC)
- Network setup and configuration
- Firewall rules, routes, and VPNs
- Cloud Load Balancing
- Global HTTP(S), SSL Proxy, and TCP/UDP load balancing
- Autoscaling and health checking
- Cloud CDN
- Content delivery network for delivering content to users
- BigQuery
- Serverless, highly scalable data warehouse
- SQL queries and data analysis
- Dataflow
- Managed stream and batch data processing
- Apache Beam and pipeline execution
- AI Platform
- Managed services for machine learning models
- Training, prediction, and model deployment
- Identity and Access Management (IAM)
- Role-based access control (RBAC) for GCP resources
- Cloud Identity-Aware Proxy (IAP)
- Secure access to applications running on GCP
- Security Command Center
- Security and data risk assessment across GCP services
- Cloud Build
- Continuous integration and delivery (CI/CD) platform
- Build and test applications in the cloud
- Deployment Manager
- Infrastructure as code tool for managing GCP resources
- Firebase
- Backend services for mobile and web applications
- Real-time database, authentication, hosting
- Pub/Sub
- Scalable event ingestion and delivery
- Stackdriver
- Monitoring, logging, and diagnostics for applications on GCP