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Cybersecurity + Artificial Intelligence

Master Cybersecurity.
Build Secure AI Solutions.
Become Industry Ready.

Learn Cybersecurity and Artificial Intelligence through networking, Linux, security fundamentals, ethical security practices, threat detection, SOC concepts, cloud security, Python automation, AI security, and real-world defensive projects.

Enroll in Cybersecurity + AI →Explore Curriculum
6–9 MonthsDuration
Beginner → AdvancedLevel
12+Projects
2Capstones
cyber_ai_security.py
01import socket
02import requests
03scan = analyze_traffic(packet)
04alert = detect_threat(event)
05await ai.classify(alert)
06<SecureAI />
07"Secure. Detect. Defend."
🐍 Cybersecurity Fundamentals + Data⚙ Network Security✦ Generative AI
The complete Cybersecurity + AI skill stack

Why Cybersecurity + AI?

Modern organizations need professionals who can protect systems, identify threats, investigate security events, and apply AI to improve detection, analysis, and security operations.

01
◫

Cybersecurity Fundamentals

Understand security concepts, threats, vulnerabilities, and defensive practices.

02
∑

Networking & Security

Understand TCP/IP, DNS, HTTP, ports, protocols, and network security.

03
◉

Networking

Work with Linux and practical security tools in controlled environments.

04
↗

Network Security

Identify suspicious activity, indicators, logs, and common attack patterns.

05
✦

AI Security

Learn monitoring, alert triage, investigation, and incident response workflows.

06
⇄

Security Automation

Use Python and AI concepts to automate analysis and strengthen security workflows.

Skill builder

What You'll Learn

Cybersecurity Fundamentals

Learn CIA triad, threats, vulnerabilities, risk, authentication, authorization, and security controls.

Networking Fundamentals

Understand TCP/IP, OSI model, DNS, HTTP/HTTPS, ports, protocols, routing, and network security.

Linux for Security

Work with Linux commands, permissions, processes, services, logs, and security-focused workflows.

Ethical Security Practices

Understand ethical security testing, reconnaissance concepts, vulnerability assessment, and responsible security practices.

Web Security

Learn common web security risks, secure authentication, sessions, input validation, and defensive controls.

Threat Detection

Identify indicators of compromise, suspicious behavior, attack patterns, and security events.

SOC Operations

Understand monitoring, alert triage, log analysis, escalation, documentation, and security operations workflows.

Incident Response

Learn preparation, identification, containment, eradication, recovery, and lessons learned.

Cloud Security

Understand cloud identity, access control, secure configurations, logging, and common cloud risks.

Python for Cybersecurity

Use Python for security automation, log processing, data analysis, and defensive tooling.

AI for Cybersecurity

Explore AI-assisted threat analysis, anomaly detection, classification, and security workflow automation.

AI Security & GenAI

Understand LLM security concepts, prompt risks, data protection, AI threat scenarios, and secure AI practices.

Your toolkit

Tools & Technologies

Work with technologies used across the modern Cybersecurity, ML, analytics, and AI workflow.

Security Foundations

CYCybersecurityNWNetworkingLXLinuxWTWeb Security

Security Operations

SOSOCSISIEM ConceptsIRIncident ResponseTIThreat Intelligence

Security Analysis

LGLog AnalysisNWNetwork AnalysisVAVulnerability AssessmentDFDigital Forensics Basics

Programming & Automation

PYPythonSHShell BasicsAUAutomationGIGit & GitHub

AI & GenAI Security

AIAI SecurityLLLLMsPEPrompt SecurityRAAI Risk Analysis
12 modules

Course Curriculum

Learn the complete Cybersecurity + Artificial Intelligence lifecycle from fundamentals to intelligent applications.

01Cybersecurity FundamentalsView module+
  • CIA triad
  • Threats & vulnerabilities
  • Risk & security controls
  • Authentication & authorization
  • Security policies
  • Common attack concepts
BuildCybersecurity risk assessment
02Networking & Network SecurityView module+
  • OSI & TCP/IP models
  • IP addressing
  • DNS & DHCP
  • HTTP/HTTPS
  • Ports & protocols
  • Firewalls & network controls
BuildNetwork security analysis
03Linux for CybersecurityView module+
  • Linux commands
  • Files & permissions
  • Processes & services
  • Users & groups
  • System logs
  • Security administration
BuildLinux security lab
04Ethical Security & Vulnerability AssessmentView module+
  • Ethical security principles
  • Reconnaissance concepts
  • Asset discovery
  • Vulnerability concepts
  • Risk prioritization
  • Security reporting
BuildDefensive vulnerability assessment report
05Web & Application SecurityView module+
  • Web security fundamentals
  • Authentication & sessions
  • Input validation
  • Access control
  • Common web risks
  • Secure development practices
BuildSecure web application review
06SOC & SIEM FundamentalsView module+
  • SOC roles & workflow
  • Security monitoring
  • Log sources
  • Alert triage
  • SIEM concepts
  • Incident escalation
BuildSOC alert investigation case
07Threat Detection & IntelligenceView module+
  • Indicators of compromise
  • Threat actors & tactics
  • Security event analysis
  • Threat intelligence basics
  • Detection concepts
  • Security reporting
BuildThreat detection investigation
08Incident Response & Digital ForensicsView module+
  • Incident lifecycle
  • Identification
  • Containment
  • Eradication
  • Recovery
  • Evidence handling concepts
  • Post-incident reporting
BuildIncident response case study
09Cloud SecurityView module+
  • Cloud security fundamentals
  • Identity & access
  • Secure configurations
  • Cloud logging
  • Common cloud risks
  • Security monitoring
BuildCloud security assessment
10Python for CybersecurityView module+
  • Python security basics
  • File & log processing
  • Regular expressions
  • API interaction
  • Automation scripts
  • Security data analysis
BuildSecurity log analysis automation
11AI for CybersecurityView module+
  • AI in security operations
  • Anomaly detection concepts
  • AI-assisted threat analysis
  • Security classification
  • Automated investigation workflows
  • AI-powered security reporting
BuildAI-assisted threat analysis workflow
12Generative AI & AI SecurityView module+
  • LLM fundamentals
  • Prompt engineering
  • Prompt injection concepts
  • Data privacy & protection
  • AI risk assessment
  • Secure AI application practices
BuildSecure AI security assistant concept
Build while learning

Projects You'll Build

Practical projects turn concepts into a portfolio you can actually showcase.

PROJECT 01

Sales Analytics Dashboard

Analyze business sales data and create an interactive decision-making dashboard.

SQL · Cybersecurity Fundamentals · Pandas · Power BI
PROJECT 02

Customer Churn Prediction

Build a machine learning model to identify customers at risk of churn.

Cybersecurity Fundamentals · Pandas · Scikit-learn
PROJECT 03

Customer Segmentation

Use clustering techniques to identify meaningful customer groups.

Cybersecurity Fundamentals · EDA · K-Means · Visualization
PROJECT 04

Demand Forecasting

Analyze historical business data and build a predictive forecasting workflow.

Cybersecurity Fundamentals · Networking & Security · Network Security
PROJECT 05

AI Document Assistant

Build an AI assistant that answers questions from uploaded business documents.

Cybersecurity Fundamentals · LLM · Embeddings · RAG
PROJECT 06

AI Business Insights

Combine analytics and generative AI to turn business data into useful insights.

Cybersecurity Fundamentals · SQL · Power BI · GenAI
Go beyond the basics

Capstone Projects

Two substantial applications bring Cybersecurity, Network Security, analytics, and AI together.

CAPSTONE 01

End-to-End AI & Security & ML Platform

Build a complete data solution that moves from raw business data to dashboards and predictive insights.

✓ Data ingestion✓ SQL analytics✓ Data cleaning✓ EDA✓ Power BI dashboard✓ Feature engineering✓ ML prediction✓ Model evaluation✓ Business insights✓ Security Automation workflow
STACK · Cybersecurity Fundamentals · SQL · Pandas · Scikit-learn · Power BI
CAPSTONE 02

Generative AI Knowledge Assistant

Build a grounded AI application that retrieves information from a knowledge base and generates useful responses.

✓ Document ingestion✓ Text chunking✓ Embeddings✓ Vector search✓ RAG pipeline✓ Prompt engineering✓ Context retrieval✓ Response generation✓ Evaluation✓ AI application deployment
STACK · Cybersecurity Fundamentals · LLM · Embeddings · Vector DB · RAG
From raw data to intelligence

Your Learning Journey

01

Learn

Build Cybersecurity Fundamentals, SQL, statistics, and data fundamentals.

02

Analyze

Clean datasets, explore patterns, and communicate insights.

03

Model

Train and evaluate machine learning models.

04

Build

Create AI and Generative AI applications.

05

Deploy

Move analytics and intelligent solutions toward production.

06

Showcase

Build a portfolio that demonstrates real data and AI skills.

More than a curriculum

What You Get

01

Structured Learning

A clear path from Cybersecurity Fundamentals fundamentals to Cybersecurity + Artificial Intelligence.

02

Hands-On Projects

Learn through practical analytics, ML, and AI applications.

03

12+ Projects

Build a portfolio across analytics, machine learning, and AI.

04

2 Capstone Applications

Develop substantial projects that bring the complete workflow together.

05

Mentorship & Guidance

Get support throughout your learning and project journey.

06

Career Preparation

Prepare your portfolio, resume, LinkedIn, GitHub, and interviews.

Who can join

Who Is This Course For?

Beginners

Start Cybersecurity + Artificial Intelligence from the fundamentals.

College Students

Build industry-relevant data and AI skills alongside your degree.

Graduates

Bridge the gap between academics and practical data work.

Career Switchers

Follow a structured path into analytics, ML, and AI roles.

Working Professionals

Add modern analytics and AI capabilities to your profile.

Start from zero

Prerequisites

No advanced programming or mathematics knowledge is required. We'll take you from fundamentals to practical Cybersecurity + Artificial Intelligence step by step.

✓Basic computer knowledge
✓A laptop or desktop
✓Willingness to learn
✓Consistent practice
✓Commitment to building projects
Where it can lead

Career Paths

Your career outcome depends on your skills, portfolio, experience, and interview performance.

Data Analyst ↗Business Analyst ↗Data Scientist ↗Network Security Engineer ↗AI Engineer ↗BI Developer ↗GenAI Developer ↗
Questions, answered

Frequently Asked Questions

Is this course beginner-friendly?+
Yes. The course starts with Cybersecurity Fundamentals, SQL, statistics, and data fundamentals before moving into machine learning and AI.
Do I need a CS or mathematics degree?+
No. A CS or mathematics degree is not required. The required concepts are taught progressively.
Will I learn both Cybersecurity + Artificial Intelligence?+
Yes. The curriculum covers analytics, machine learning, AI fundamentals, Generative AI, LLMs, embeddings, and RAG.
Will I build real projects?+
Yes. Projects are integrated throughout the curriculum, including two major capstone applications.
Will I learn Power BI and SQL?+
Yes. SQL and business intelligence are included so you can work with real business data and communicate insights effectively.
Will I learn Generative AI and RAG?+
Yes. You'll learn LLM fundamentals, prompt engineering, embeddings, vector search, and RAG application workflows.
Is placement guaranteed?+
IT Pratha focuses on technical skill development and career preparation. Employment cannot be guaranteed because hiring depends on the candidate, employer, market conditions, and interview performance.
Your next chapter starts here

Don't Just Analyze Data.
Build Intelligence.

Develop practical skills to analyze data, build predictive models, create AI applications, and take your first step toward a career in Cybersecurity and AI Security.

Enroll in Cybersecurity + AI →Explore Other Courses →