Cloud Tech & DevOps Expert

Certified Cloud Tech & DevOps Expert Training Institute in Ahmedabad If you are interested taking Certified Cloud Tech & DevOps Expert then get in touch using the contact us ionxtec@gmail.com or use the phone numbers to contact us.

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Certified Cloud Tech & DevOps Expert in Ahmedabad Gujarat

"This Cloud Certification training will enable you to design, Deploy, Devlop and Automate the Cloud Platfrom implementations utilizing over 70 cloud computing services. The course is aligned with the latest AWS & Azure exam featuring Amazon designated best practices. "

Are you ready to take your career to new heights? IONX, Ahmedabad's leading DevOps training institute, offers the ideal platform to master the skills of the future. Our comprehensive IONX Certified Cloud Tech & DevOps certification program empowers you to excel in the dynamic world of technology.

Begin your DevOps Course journey by taking IONX Certified Cloud Tech & DevOps certification Program. Learn to apply DevOps and cloud computing concepts and leverage tools like Git, GitHub, Docker, CI/CD with Jenkins, Kubernetes, DevSecOps, serverless architecture, microservice architecture, Grafana, and more"

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₹49000/- | $ 799/- Duration: 215 Days

[Note: Prices displayed are after Discount and includes GST]

Certified Cloud Tech & DevOps Expert Brochure

Architecture of Network,Web,Cloud & Security
Networking and Network Security Operations
Implementations of Network Automation
Understanding the Devnet
Linux for Automation
Amazon Web Services - AWS Solution Architect
Azure Cloud Essentials
Amazon Web Services - AWS Devops: Devlopment & Operations
Automation Capstone Live Projects

Detailed Syllabus of Certified Cloud Tech & DevOps Expert

  • Fundamentals of Operating Systems
  • Virtualization and Installation of Operating Systems
  • Working wtih Network Architecture
  • Working wtih Cloud Computing Architecture
  • Implement network security, standards, and protocols
  • Working wtih Web Architecture
  • Cyber Security Architecture Models
  • Working wtih Automation Architecture
  • Routing and switching ( RIP, OSPF, VLAN, STP)
  • IPv6 ( Subnetting, routing, etc)
  • LAN,WAN,MAN and CAN Architecture
  • Network Security ( DAI, DHCP Spoofing, Layer 2 security)
  • CISCO Cloud
  • CISCO Virtulication (network Virtulization)
  • For Further Details about CCNA: Click here
  • Network Automation Management
  • Traditional Methods for Network Management
  • Software Defined Network
  • SDN Controllers
  • Managing Traditional Networks
  • SDN - Imperative - Declarative Models
  • Application Programming Interface (API)
  • API Usage in SDN Networks
  • Understanding the Concepts of DevNet
  • Cisco DevNet Sandbox
  • Cisco DNA Center
  • REST-Based API
  • CHEF - Config Management Tool
  • Ansible - Config Management Tool
  • Encoding with JSON
  • Basic Linux Commands
  • Working with Files and Directories
  • Permissions and File Ownership
  • Package Management (e.g., apt, yum)
  • Introduction to Shell Scripting
  • Automating Tasks with Cron Jobs
  • Introduction to Git
  • Setting up Git Repositories
  • Basic Git Commands (git clone, git add, git commit, git push, git pull)
  • Branching and Merging in Git
  • Git Workflow for Automation
  • Using Git for Version Control in Automation Projects
  • Integrating Git with CI/CD Pipelines for Automation
  • Introduction to Cloud Computing
  • Getting Started with AWS and Azure Consoles
  • Identity and Access Management (IAM)
  • Compute Services
  • Networking and Connectivity
  • Databases
  • Monitoring and Logging
  • Security Essentials
  • Cost Management and Billing
  • Automation Basics
  • Overview of Azure.
  • Why to choose Microsoft Azure.
  • Managing Azure with the Azure portal.
  • Managing Azure with Windows PowerShell.
  • Overview of Azure Resource Manager.
  • Features of Azure Resource Manager.
  • Understand about multiple management native tools.
  • Different Azure deployment models.
  • LAB
  • Overview of DevOps Culture and Practices
  • AWS DevOps Tools: CodePipeline, CodeBuild, CodeDeploy, Elastic Beanstalk
  • Infrastructure as Code with AWS CloudFormation and Terraform
  • CI/CD Pipeline Setup and Configuration
  • Containerization and Orchestration: Docker and Kubernetes
  • Monitoring and Logging: CloudWatch, CloudTrail
  • Hands-on Labs: Jenkins Setup, Docker Containers, Writing Infrastructure Code
  • Build a Complete DevOps Pipeline (CI/CD, Infrastructure Automation)
  • Implement Security Measures (Monitoring, Alerts, and Auditing)
  • Technical Interview Preparation
  • Soft Skills Training (Communication, Resume Building, Job Search Tips)
  • Job Assistance program

    Your intent to master next level skills are appreciated

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    Frequently Asked Questions

    faq

  • Cloud computing is a key enabling technology that is convenient and has on-demand network access to a pool of shared configurable computing resources, that can be rapidly provisioned and released with minimal management effort. Some of these resources include cloud tools and applications like data storage, servers, databases, networking and software.
  • Virtualization separates the back-end level and user level for the creation of a seamless environment between the two. Virtualization is used for the deployment of models of cloud hosting services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) among others. Setting up a virtualization platform is simpler, cost-effective and highly efficient.
  • The three types of cloud computing are:

  • Public cloud is cloud computing that is delivered via the internet and shared across organizations.
  • Private cloud is cloud computing that is dedicated solely to your organization.
  • A hybrid cloud is an environment that uses both public and private clouds.
  • The cloud migration steps checklist includes:

  • Establish the migration-architect role.
  • Choose your level of cloud integration.
  • Choose a single cloud or go multi-cloud.
  • Establish cloud KPIs.
  • Establish performance baselines.
  • Prioritize migration components.
  • Perform any necessary refactoring.
  • Create a data migration plan.
  • Switch overproduction.
  • Review application resource allocation.