Get Training on GCP
Whether you are new to Google Cloud Platform (GCP) or is looking to start a project with Google Cloud Platform (GCP), our Google Cloud Platform training programs can be
PointStar is the Premier Google Cloud Partner with a team of certified Google Cloud Consultants and architects who have experience in facilitating a broad range of technical training including infrastructure, G Suite services, machine learning (ML), artificial intelligence (AI), data and analytics, application development, and security.
With the training, you’ll be able to use
GCP Training Syllabus
This training will highlight the important concepts and terminology about Google Cloud Platform (GCP). You will learn and compare, many of the computing and storage services available in GCP, including App Engine, Compute Engine, Kubernetes Engine, Cloud Storage and Databases. It will cover deploying practical solutions including interconnecting networks, security and access management, quotas and billing, and resource monitoring.
PREREQUISITES
Basic understanding of Infrastructure Management and Operations.
DURATION
3 days
TRAINING CAPACITY
Up to 10 pax
GCP Console
Topics
| Day 1 | Introduction to GCP Why Google? Why Google Cloud Platform? Global Datacentres Global Connectivity Security Privacy Renewable Energy Main overview of GCP Services Infrastructure Big Data AI/ML GCP Billing and Calculation How does GCP Billing Work? Resource Hierarchy Concepts Payment Modes of GCP Free Credits for GCP Metered Billing Concepts Sustained Use Billing Reserved Instances Network Charges Billing Cycles Billing Access Exporting Bills for Analysis Setting Budget Alerts Settling Billing Issues Exercise: Using the GCP Calculator Best Practices for Billing Management Identity & Access Management and Groups Overview of IAM in GCP Do you need G Suite to use GCP? Can you use Gmail to access GCP? Understanding Roles Understanding Services Accounts Using Google Groups for provisioning GCP Setting up Billing-related IAM Roles Setting up Networking related IAM Roles Best Practices for IAM in GCP |
| Day 2 | Traditional Infrastructure and Virtual Machines Compute Engine vs On-Premise VMs (Hybrid Cloud) Compute Engine Compute Engine and Types Creating VM Instances Connecting to VM Instances Attaching Storage to VM instances Optimizing Disk Performance Optimizing SSD Performance Creating Custom VMs Backing up Persistent Disks using snapshots Building and managing custom instances Creating and managing instance templates Networking and Monitoring VPC: Virtual Private Cloud Firewalls in GCP Load Balancing in GCP Locations and Storage Classes Zonal Storage Multi-Regional Storage Dual Regional Storage Nearline Storage Coldline Storage |
| Day 3 | Storage in GCP Cloud Spanner Cloud Datastore Kubernetes and Containers Overview of Containers Overview of Kubernetes Benefits of Kubernetes on GCP Application Development and Big Data Cloud Functions Google App Engine Firestore Big Data and Analytics on GCP Bigquery Pub/Sub Dataproc Data Fusion What are AI and Machine Learning? Auto ML Translate API Vision API TensorFlow |
