Radicals.in

IMS – Linux | AWS | Devops

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Radical Data Science PG program consists of Practical learning of Data Science with Python & R, Apache Spark & Scala, AI & Deep Learning with TensorFlow, Tableau. Consists of 25 Projects | 200 + Assignments and 50 hours of Mock interview session. You will acquire a knowledge of 4+ year experienced data scientist.
This program is good for freshers and up to 3 – 4 years of industry experienced professional.Those who have career gap

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program

Self Test Training

Self Paced Learning
Learn 300+ Courses at Your Own Time
50000+ Satisfied Learners
Course Completion Certificate
Practical Labs Available
Mentor Support Available
Doubt Clearing Session Available
Attend Our Virtual Job Fair
10% Discounted Global Certification
Course completion certificate and Global Certifications are part of our all Master Program

Live Online Training

Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program

Self Test Training

300+ Technologies - Learn at your Convenience
4500+ High Quality Videos
Self Paced Training By Experts
Self Paced Hands-On Practical LABS
Cloud Sand Boxes
Do Projects and Assignments with Live LABS
100+ Exam Simulators & Discounted Vouchers
Live Mentor Support - By 10+ Years Experts
Course completion certificate and Global Certifications are part of our all Master Program

Why enroll for LINUX RHEL 8 course ?

Course Benefits

  • Post Graduate Diploma without Spending full time in College
  • Eligible for Ofqual regulates qualifications – UK Certified and World Recognised programs
  • Level 7 Program recognised world wide for your Higher studies
  • Get recognised by High Value world recognised UK equal Master Degree

Designations

Want to become Engineer?

Want to become Engineer?

Want to become Engineer?

WhyTerraform ?

Multi-Cloud Support

Terraform supports multiple cloud providers, including AWS, Azure, Google Cloud Platform (GCP), and others. This allows you to use a single tool and consistent workflow across different cloud environments, enabling hybrid and multi-cloud deployments.

Declarative Configuration

Terraform uses a declarative language to define infrastructure configurations. This means you specify the desired state of your infrastructure, and Terraform handles the provisioning and management to achieve that state. This approach is intuitive and allows for easier understanding and maintenance of infrastructure code.

Resource Graph

Terraform builds a dependency graph of your infrastructure resources based on their relationships and dependencies. This enables Terraform to determine the correct order of resource provisioning and manage complex infrastructures with ease.

Modularity and Reusability

Terraform encourages modularization and code reuse through the use of modules. Modules are self-contained units of Terraform configurations that can be reused across projects, teams, and environments. This promotes consistency, reduces duplication, and speeds up development.

State Management

Terraform maintains a state file that tracks the current state of your infrastructure. This state file is used to plan and apply changes, track resource attributes, and manage updates. Terraform's state management ensures consistency and facilitates collaboration among team members.

Plan and Apply Workflow

Terraform follows a plan and apply workflow, where changes to infrastructure are first planned and previewed before being applied. This allows you to review the proposed changes, identify potential issues, and apply changes safely, minimizing the risk of unintended consequences.

Extensibility

Terraform is highly extensible and integrates with a wide range of third-party tools and services. This includes integrations with configuration management tools, CI/CD pipelines, monitoring solutions, and more, allowing you to build comprehensive infrastructure automation workflows. While other IaC tools offer similar capabilities, Terraform's multi-cloud support, declarative configuration, resource graph, modularity, state management, workflow, and extensibility make it a popular choice for infrastructure automation in diverse environments. Additionally, Terraform's active community, robust documentation, and frequent updates contribute to its widespread adoption and continued development.

About your Terraform Certification Course

Terraform Skills Covered

  • State Management

  • Terraform Modules

  • Dependency Management

  • Terraform CLI

  • Terraform Configuration Language (HCL)

  • Infrastructure as Code (IaC) Principles

  • Resource Provisioning

  • Terraform Providers

  • Terraform Workspaces

  • Terraform Best Practices

Curriculum Designed by Experts

IMS – Linux | AWS | Devops Course Syllabus

Overview of tools covered

Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Regression Modelling , Scala Programming language, HDFS, Sqoop, FLume, Spark GraphX, Apache Cassandra, Spark, and Kafka

Python Statistics for Data Science Course Classroom / Online​

Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python, it will help you to perform operations on variable types using Pycharm. You will learn the importance of Python in real time environment and will be able to develop applications based on Object Oriented Programming concept. End of this course, you will be able to develop networking applications with suitable GUI

Python Statistics for Data Science Course

Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python, it will help you to perform operations on variable types using Pycharm.

Python Statistics for Data Science Course

Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python, it will help you to perform operations on variable types using Pycharm.

Python Statistics for Data Science Course

Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python, it will help you to perform operations on variable types using Pycharm.

Python Statistics for Data Science Course

Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python, it will help you to perform operations on variable types using Pycharm.

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    Global Certification

    master course certificate

    Terraform Course Projects in Seattle

    Multi-Cloud
    Deployment

    Create Terraform configurations to provision identical infrastructure across multiple cloud providers such as AWS, Azure, and Google Cloud Platform. This project will help you understand how to leverage Terraform's multi-cloud support and manage resources in a heterogeneous cloud environment.

    Highly Available Web Application

    Design and deploy a highly available web application using Terraform. Configure load balancers, auto-scaling groups, database clusters, and other resources to ensure fault tolerance and scalability. Implement infrastructure as code best practices to manage the application's lifecycle.

    Infrastructure Governance and Compliance

    Implement infrastructure governance and compliance policies using Terraform to enforce security, compliance, and regulatory requirements. Define and enforce policies for resource tagging, access control, encryption, and configuration drift detection.

    Container Orchestration with Kubernetes

    Set up a Kubernetes cluster on a cloud provider using Terraform. Deploy and manage Kubernetes resources such as pods, services, and ingresses using Terraform configurations. Experiment with different deployment strategies and configurations to gain insights into Kubernetes orchestration.

    Infrastructure Monitoring and Logging

    Implement infrastructure monitoring and logging using Terraform and cloud-native services such as AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring. Configure alerts, dashboards, and log sinks to monitor resource health, performance, and security.

    Disaster Recovery (DR) Setup

    Design and deploy a disaster recovery solution using Terraform to replicate infrastructure resources across regions or cloud providers. Configure automated failover mechanisms, data replication, and backup strategies to ensure business continuity and data resilience.

    Microservices Architecture

    Build a microservices architecture using Terraform to provision containerized services on a container orchestration platform such as Kubernetes or AWS ECS. Design modular Terraform configurations for each microservice and define service dependencies and communication channels.

    Serverless Architecture

    Explore serverless computing by using Terraform to provision serverless resources such as AWS Lambda functions, API Gateway endpoints, and DynamoDB tables. Build a serverless application that processes events, triggers functions, and stores data without managing servers or infrastructure.

    Hybrid Cloud Deployment

    Deploy a hybrid cloud infrastructure using Terraform to bridge on-premises data centers with public cloud environments. Configure hybrid networking, VPN connections, and hybrid cloud management tools to extend your infrastructure seamlessly across cloud and on-premises environments.

    Continuous Integration and Delivery (CI/CD) Pipelines

    Automate infrastructure deployment using Terraform within CI/CD pipelines. Integrate Terraform with version control systems, build tools, and deployment automation platforms to enable continuous delivery of infrastructure changes with automated testing and validation. These project ideas cover a range of scenarios and use cases that will allow you to apply Terraform's capabilities effectively and gain practical experience in infrastructure automation and management. Tailor these projects to your interests, expertise, and learning objectives to maximize their educational value.

    Get Experience Of 4+ Years