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PraxAIum Learn. Build. Conquer.

Your open academy for Computer Science fundamentals, Cybersecurity labs, AI & Machine Learning, and competitive exam preparation.

Four Pillars of Knowledge

Deep, practical content across core disciplines — from theory to hands-on labs.

⚙️

PraxAIum CS

DBMS, Operating Systems, Computer Networks — the foundations that power everything.

🔓

PraxAIum Labs

Kali Linux, security tools, digital forensics & investigation — hands-on hacking.

🧠

PraxAIum AI

Python, Machine Learning, Deep Learning — from zero to neural networks.

🏆

PraxAIum Exams

RPSC, MCQ practice, previous years — compete and conquer.

50+
Topics
100+
MCQs
20+
Lab Guides
Free
Forever

⚙️ PraxAIum CS

Master the core of Computer Science — databases, operating systems, and networks that form the backbone of every system.

Database Management Systems (DBMS)

📊 Relational Model & SQL

ER diagrams, normalization (1NF–BCNF), SQL queries, joins, subqueries, and views.

Foundation

🔄 Transactions & Concurrency

ACID properties, serializability, locking protocols, deadlocks, and recovery techniques.

Advanced

📁 File & Storage

Indexing (B/B+ trees, hashing), file organization, query optimization basics.

Storage

🧩 NoSQL & Modern DBs

Document, key-value, graph databases. CAP theorem, eventual consistency.

Modern
Operating Systems

Process Management

Process lifecycle, scheduling algorithms (FCFS, SJF, RR, Priority), threads and IPC.

Core

🧠 Memory Management

Paging, segmentation, virtual memory, page replacement (LRU, FIFO, Optimal).

Core

🔒 Synchronization

Semaphores, mutexes, monitors, classic problems (dining philosophers, reader-writer).

Concurrency

💾 Disk & File Systems

Disk scheduling (SCAN, C-SCAN), file allocation, directory structures, RAID levels.

I/O
Computer Networks

🌐 OSI & TCP/IP Models

Layer architecture, protocols at each layer, encapsulation, and data flow.

Foundation

📡 Routing & Switching

IP addressing, subnetting, CIDR, OSPF, RIP, BGP, VLANs and switching concepts.

Network Layer

🔐 Transport & Security

TCP/UDP, flow control, congestion control, TLS/SSL, firewalls, VPN basics.

Security

📶 Application Layer

HTTP/HTTPS, DNS, DHCP, FTP, SMTP, REST APIs, and socket programming.

Application

🔓 PraxAIum Labs

Get your hands dirty — Kali Linux, offensive security tools, digital forensics, and real-world investigation techniques.

Kali Linux Essentials

🐧 Kali Setup & Environment

Installation, VM setup, desktop customization, package management, and essential configs.

Setup

🖥️ Terminal Mastery

Bash scripting, file permissions, cron jobs, system administration commands.

Linux
Security Tools & Techniques

🔍 Reconnaissance

Nmap, Shodan, WHOIS, DNS enumeration, OSINT frameworks and passive recon.

Recon

🌐 Web App Security

Burp Suite, OWASP Top 10, XSS, SQL injection, CSRF, and mitigation strategies.

Web

📡 Network Analysis

Wireshark, tcpdump, packet analysis, traffic sniffing, protocol dissection.

Network

🗝️ Password & Crypto

Hashcat, John the Ripper, hash cracking, encryption/decryption, steganography.

Crypto
Digital Forensics & Investigation

🔬 Disk & Memory Forensics

Autopsy, Volatility, image acquisition, evidence handling, timeline analysis.

Forensics

📧 Email & Log Analysis

Header analysis, phishing investigation, log correlation, SIEM basics.

Investigation

📱 Mobile Forensics

Android/iOS data extraction, app analysis, call/SMS recovery techniques.

Mobile

🧠 PraxAIum AI

From Python basics to deep neural networks — your complete path into Artificial Intelligence and Machine Learning.

Python Foundations

🐍 Core Python

Variables, control flow, functions, OOP, file handling, exceptions, and modules.

Beginner

📦 Data Libraries

NumPy, Pandas, Matplotlib, Seaborn — data manipulation and visualization essentials.

Data
Machine Learning

📈 Supervised Learning

Linear & logistic regression, decision trees, random forests, SVM, KNN, Naive Bayes.

ML Core

🔮 Unsupervised Learning

K-Means, DBSCAN, hierarchical clustering, PCA, dimensionality reduction.

Clustering

🛠️ Model Pipeline

Feature engineering, cross-validation, hyperparameter tuning, evaluation metrics.

Workflow

📊 Scikit-Learn in Practice

End-to-end ML projects, pipelines, model persistence, and real-world datasets.

Hands-on
Deep Learning

🔗 Neural Network Basics

Perceptrons, backpropagation, activation functions, loss functions, optimizers.

Foundations

🖼️ CNNs — Computer Vision

Convolutions, pooling, architectures (VGG, ResNet), image classification, transfer learning.

Vision

📝 RNNs & Transformers

LSTM, GRU, attention mechanism, Transformer architecture, NLP applications.

NLP

🚀 Frameworks

TensorFlow, Keras, PyTorch — building, training, and deploying deep learning models.

Tools

🏆 PraxAIum Exams

Sharpen your edge — RPSC preparation, topic-wise MCQs, previous year papers, and timed practice.

RPSC Preparation

📋 Syllabus & Strategy

Complete RPSC syllabus breakdown, subject weightage analysis, and preparation roadmap.

Strategy

📄 Previous Year Papers

Solved papers with detailed explanations, year-wise and topic-wise sorted.

PYQ

📚 Subject Notes

Concise, exam-oriented notes for all RPSC subjects — quick revision material.

Notes
MCQ Practice

💻 CS Fundamentals MCQs

DBMS, OS, CN, Data Structures, Algorithms — topic-wise question banks.

CS

🤖 AI & ML MCQs

Machine Learning, Deep Learning, Python, Data Science practice questions.

AI/ML

🔐 Cybersecurity MCQs

Network security, cryptography, ethical hacking, forensics questions.

Security

📐 Aptitude & Reasoning

Quantitative aptitude, logical reasoning, verbal ability — competitive essentials.

Aptitude
Mock Tests

⏱️ Timed Full Tests

Simulate the real exam — timed, full-length mock tests with instant scoring.

Full Test

🎯 Topic-wise Quizzes

Quick 10-20 question quizzes on specific topics for focused practice.

Quick Quiz

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