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ISO 9001:2015 Certified
Govt. of Karnataka Affiliated
Internship

AI • Machine Learning • Cybersecurity

Course Overview

This internship provides hands-on exposure to emerging technologies including Artificial Intelligence, Machine Learning, and Cybersecurity fundamentals, along with real-world mini projects and career readiness skills.

4.8 (342 reviews)

2,500+ students

3 Months

4.8 (342 reviews)

2,500+ students

3 Months

Mr. Abhilesh H M
Class Coordinator

₹8,999

₹15,999
44% OFF
Enroll Now
Download Brochure

Next Batch: 15th January 2026

Duration: 3–6 Months

Mode: Theory + Practical + Projects + Assessments

Eligibility: School/college students, graduates, beginners in IT/technology

Learning Objectives

Understand AI & Machine Learning concepts

Work with basic Python programming

Build simple ML models and data projects

Learn cybersecurity fundamentals & safe computing

Identify common cyber threats and protection methods

Complete mini real-world technology projects

Prepare for future tech careers

Why This Course?

ISO Certified
Government recognized certification

Expert Trainers
Industry professionals with 10+ years

100% Practical
Hands-on projects and assignments

Placement Support
Resume building & interview prep

Have Questions?

Talk to our counselor for course guidance

Book Free Counselling

Detailed Syllabus

Module 1: Digital & Programming Foundations

5 topics

  • Basics of computers, internet, and operating systems
  • Introduction to programming logic
  • Python basics: variables, loops, conditions, functions
  • Working with Python libraries (NumPy, Pandas – basics)
  • Cloud Concepts

  • IaaS / PaaS / SaaS

  • Virtualization Basics

  • Regions / AZ

  • VPC Basics

Module 2: Introduction to Artificial Intelligence

5 topics

  • What is AI? Types and real-life applications
  • AI vs ML vs Deep Learning
  • AI in healthcare, education, finance, and business
  • Ethics and responsible AI use

  • EC2 Basics

  • S3 Storage

  • IAM Basics

  • RDS Intro

  • CloudWatch Basics

Module 3: Machine Learning Basics

5 topics

  • What is Machine Learning?
  • Types of ML: Supervised, Unsupervised
  • Data collection and preprocessing
  • Simple ML algorithms:
    • Linear Regression
    • Classification basics
    • Clustering overview
  • Model training, testing, and accuracy

  • Load Balancer Intro

  • Auto Scaling

  • VPC Networking

  • Routing Basics

  • Security Groups

Mini Project:

5 topics

  • Student marks prediction / simple classification model

  • Load Balancer Intro

  • Auto Scaling

  • VPC Networking

  • Routing Basics

  • Security Groups

Module 4: Data Handling & Visualization

5 topics

  • Using Pandas for data analysis
  • Charts using Matplotlib / basic visualization
  • Understanding datasets and insights
  • Preparing simple data reports

  • Best Practices

  • IAM Policies

  • Monitoring

  • Cost Explorer

  • Billing Alerts

Mini Project:

5 topics

  • Data analysis report using real dataset

  • Best Practices

  • IAM Policies

  • Monitoring

  • Cost Explorer

  • Billing Alerts

Module 5: Cybersecurity Fundamentals

5 topics

  • Introduction to cybersecurity
  • Types of cyber threats:
    • Malware
    • Phishing
    • Password attacks
    • Social engineering
  • Safe internet practices
  • Data privacy and protection basics
  • Antivirus, firewall, and secure networks

  • Deploy Mini App

  • Case Study

  • Architecture Diagram

  • Resume Prep

  • Mock Interview

Module 6: Ethical Hacking Basics (Beginner Level)

5 topics

  • What is ethical hacking?
  • Footprinting & reconnaissance (concept only)
  • Password security and encryption basics
  • Network security fundamentals
  • Cyber laws & digital responsibility
  • Practical Activity:
    • Password strength testing
    • Security awareness checklist

  • Deploy Mini App

  • Case Study

  • Architecture Diagram

  • Resume Prep

  • Mock Interview

Module 7: AI Tools & Future Technologies

5 topics

  • Using AI productivity tools
  • Chatbots and automation basics
  • Introduction to cloud computing
  • Future career paths in AI & cybersecurity

  • Deploy Mini App

  • Case Study

  • Architecture Diagram

  • Resume Prep

  • Mock Interview

Module 8: Internship Project Work

5 topics

  • Students will complete:
    • Python mini project
    • Machine learning prediction project
    • Cybersecurity awareness presentation
    • Final technology portfolio

  • Deploy Mini App

  • Case Study

  • Architecture Diagram

  • Resume Prep

  • Mock Interview

Skills You'll Gain

Cloud Computing Fundamentals
AWS Core Services (EC2, S3, IAM)
Security & Access Management
Cost & Resource Management
Cloud Deployment Basics

Requirements

  • Basic computer knowledge
  • No prior programming experience required
  • Laptop/Desktop with internet