Master Courses

★★★★★

(2,095 ratings) 50,000+ Student

IMS – Linux | AWS | Devops

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

Radical Technologies

50,000+ English 10 weeks Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 10 weeks

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

12 sections covering the complete curriculum — a single, progressive learning arc.

10 weeks

Training Duration

Core Modules

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a Master Courses role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

12 sections • 48 lessons • 10 weeks

Jump to Section

Total Duration

10 weeks

100% Practical · Unlimited Doubt Sessions

01 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

02 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

03 Python Statistics for Data Science Course

04 Python Statistics for Data Science Course

05 Python Statistics for Data Science Course

06 Python Statistics for Data Science Course

07 L1 Tasks

1. Basic user account management (creating, modifying, and deleting users).

2. Password resets and account unlocks.

3. Basic file system navigation and management (creating, deleting, and modifying files and directories).

4. Basic troubleshooting of network connectivity issues.

5. Basic software installation and package management (installing and updating software packages).

6. Viewing system logs and checking for errors or warnings.

7. Running basic system health checks (CPU, memory, disk space).

8. Restarting services or daemons.

9. Monitoring system performance using basic tools (top, df, free).

10. Running basic commands to gather system information (uname, hostname, ifconfig).

08 L2 Tasks

1. Intermediate user account management (setting permissions, managing groups).

2. Configuring network interfaces and troubleshooting network connectivity issues.

3. Managing file system permissions and access control lists (ACLs).

4. Performing backups and restores of files and directories.

5. Installing and configuring system monitoring tools (Nagios, Zabbix).

6. Analyzing system logs for troubleshooting purposes.

7. Configuring and managing software repositories.

8. Configuring and managing system services (systemd, init.d).

9. Performing system updates and patch management.

10. Monitoring and managing system resources (CPU, memory, disk I/O).

09 L3 Tasks

1. Advanced user account management (LDAP integration, single sign-on).

2. Configuring and managing network services (DNS, DHCP, LDAP).

3. Configuring and managing storage solutions (RAID, LVM, NFS).

4. Implementing and managing security policies (firewall rules, SELinux).

5. Implementing and managing system backups and disaster recovery plans.

6. Configuring and managing virtualization platforms (KVM, VMware).

7. Performance tuning and optimization of system resources.

8. Implementing and managing high availability solutions (clustering, load balancing).

9. Automating system administration tasks using scripting (Bash, Python).

10. Managing system configurations using configuration management tools (Ansible, Puppet).

10 L1-L2 Transition Tasks

1. Learning basic shell scripting for automation tasks. 2. Understanding file system permissions and ownership. 3. Learning basic networking concepts (IP addressing, routing). 4. Learning how to use package management tools effectively. 5. Familiarizing with common Linux commands and utilities. 6. Understanding basic system architecture and components. 7. Learning basic troubleshooting techniques and methodologies. 8. Familiarizing with basic security principles and best practices. 9. Learning how to interpret system logs and diagnostic output. 10. Understanding the role and importance of system backups and restores.

11 L2-L3 Transition Tasks

1. Advanced scripting and automation techniques (error handling, loops).

2. Understanding advanced networking concepts (VLANs, subnetting).

3. Familiarizing with advanced storage technologies (SAN, NAS).

4. Learning advanced security concepts and techniques (encryption, PKI).

5. Understanding advanced system performance tuning techniques.

6. Learning advanced troubleshooting methodologies (root cause analysis).

7. Implementing and managing virtualization and cloud technologies.

8. Configuring and managing advanced network services (VPN, IDS/IPS).

9. Implementing and managing containerization technologies (Docker, Kubernetes).

10. Understanding enterprise-level IT governance and compliance requirements.

12 L3 Tasks and Beyond

1. Designing and implementing complex IT infrastructure solutions. 2. Architecting and implementing highly available and scalable systems. 3. Developing and implementing disaster recovery and business continuity plans. 4. Conducting security audits and vulnerability assessments. 5. Implementing and managing advanced monitoring and alerting systems. 6. Developing custom automation solutions tailored to specific business needs. 7. Providing leadership and mentorship to junior team members. 8. Collaborating with other IT teams on cross-functional projects. 9. Evaluating new technologies and making recommendations for adoption. 10. Participating in industry conferences, workshops, and training programs.

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

48+

Hands-On Lessons

Core Modules

10 weeks

Training Duration

100%

Practical Training

You don't just learn IMS – Linux | AWS | Devops. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.