CLOUD COMPUTING WITH GOOGLE CLOUD

A Cloud Computing course for Architects, Developers, Analysts, IT Professionals & Cloud Aspirants built with extensive labs, practical and POCs to help participants gain working knowledge of Cloud Computing on Google Cloud Platform.

COURSE OBJECTIVE

This Cloud Computing course is specifically built for Google Cloud Platform and is mapped with Google Cloud Certification. The course will help professionals gain knowledge and enable them to architect Cloud Infrastructure and manage them.
Participants will be enabled to evaluate various components and providers in sync with ROI and KPI of a company. 
Learners will be taught to use Google Cloud to setup Cloud Infrastructure and use various ecosystems along with open source products to manage compute, storage, network and applications.

LESSON PLANS


​SESSION 1: CLOUD COMPUTING - INTRODUCTION
Session Goal:
  • Journey to the Cloud.
  • Business Drivers for the Cloud.
  • Define Cloud Computing.
  • Cloud Infrastructure.
  • Transition from CDC to Cloud.

​SESSION 2: FUNDAMENTALS OF CLOUD COMPUTING
Session Goal:
  • Cloud Computing Premier.
  • Characteristics of Cloud.
  • Cloud Service Models.
  • Cloud Deployment Models.
  • Economics of Cloud.
  • Benefits and challenges of Cloud.

SESSION 3: OVERVIEW OF GOOGLE CLOUD
Session Goal:
  • Geography and Regions.
  • Compute.
  • App Engine.
  • Compute Engine.
  • Container Engine.

SESSION 4: STORAGE
Session Goal:
  • Choosing a Storage Option.
  • Cloud SQL.
  • Cloud Storage.
  • Transfer Service.
  • Cloud Datastore.
  • Cloud BigTable.

​SESSION 5: NETWORKING
Session Goal:
  • Cloud DNS.
  • Carrier Interconnect.
  • CDN Interconnect.
  • Direct Peering.

  • HTTP/HTTPS Load BalancingBeta.
  • Network Load Balancing.
  • Virtual Private Network (VPN).
​
SESSION 6: AUTH & SECURITY
Session Goal:
  • Auth Guide.
  • Cloud Identity and Access Management.
  • Cloud Platform Security.

SESSION 7: BIGDATA APP DEVELOPMENT
Session Goal:
  • Cloud SDK.
  • Android Studio.
  • Eclipse Plugin.
  • Cloud Playground.
  • Prediction API.
  • Translate API.

SESSION 8: LOGGING & MONITORING DEVELOPER WORKFLOW
Session Goal:
  • Cloud Source Repositories.
  • Push-to-Deploy.

SESSION 9: RESOURCE MANAGEMENT
Session Goal:
  • Deployment Manager.
  • Container Registry.
  • Cloud Resource Manager.

SESSION 10: CLICK-TO-DEPLOY:
Session Goal:
  • Apache Cassandra.
  • Drupal.
  • Elastic Search.
  • Gitlab Community Edition.
  • Hadoop.
  • MongoDB.
  • Puppet​.
  • WordPress.
CASE STUDY AND PROJECTS
Case studies are integral part of training. As part of this course we will ensure you  implement Real-time Case studies ​in various domains which includes:
  • Banking.
  • Telecom
  • Ecommerce.
  • HealthCare.​
These case studies will be evaluated by domain experts and you would get an opportunity to get Feedback on the work.
TRAINING FEATURES
1) Extensive Real Time Live Examples, Projects & POCs for improved practical competency, ensure deployment readiness and implementation.
2) Custom Lab, Software and Environment provided with Real-time Project Simulation.
3) Recorded Videos complemented with corresponding lecture ppts, materials & lab guides. (Provided in the form of MP4 videos, pdf, ppt for offline access as well).
4) Certification and Job-Interview Counselling & Coaching after every training.