Computer Networks & Ethical Hacking Basics

(C++/Python)

This course helps students to gain integrated knowledge in computer networks, basics of encryption, hashing, and encoding, and the various tools and techniques of ethical hacking. You will make your own algorithms of various encryption techniques and hashing techniques. You will build awareness using various tools such as Wire Shark, Hydra, Kali Linux, and SQL Injections. This course will provide you a solid basis to understand how hackers think and what vulnerabilities you should be aware of in real life to be safe.

Course Structure

Introducing ipconfig, ping, nslookup, dig, host, traceroute, and netstat commands.
Overview of Internet Architecture
Basics of Computer Networks
What is a Protocol?
Basics of TCP/IP
Ethical Hacking Orientation
Introduction to Windows vs. Linux
Different types of Users and Permissions in Operating System
Theory on types of attacks on Android and iOS phones
Theory on IP, Host, LAN, WAN, Router and Firewall
Theory of Malware, Spyware, Sniffing, and Denial of Service attacks
Theoretical basis of Keylogger Algorithms
Basics of Cryptography and good password practices
Public Key Encryption Methods
Intro to Kali Linux and File Structure
Basic hacking techniques used in Kali Linux
Da Vinci and ancient cryptography
Hash vs. Encryption vs. Encoding
Various Types of Ciphers
Writing small encryption algorithms
Penetration Testing with permission
Web Cookie Analysis, SQL Injection Basics, & Cross-site Scripting Basics
RLO naming for Trojans
Electro-magnetic Spectrum, Radio Waves, nRF module, & Faraday Cages
Vulnerabilities of Connected Devices & Juice Jacking
Approach of Self-Replicating Programs (Quines)
Intrusion Detection Systems, Process Hollowing, & Anti-virus Software
Boot Sector, Polymorphic, Multipartite, Macro, and other viruses
Good and Safe Internet Practices for Kids
Recap Lessons on Ethical vs. Unethical Hacking
Writing simple reports

Tools/Platform:

Languages Covered:

Duration: 30 Classes, 2 classes/week

Price per 1:1 class:

₹550

Coding Olympiad (IOI) Preparation Course

(C++)

This course is for students who already had basic exposure to coding and mathematics and who want to prepare for the IOI. Each country sends 4 students for IOI and each country has its own selection process at national level competitions which are equally prestigious. This course provides the basic fundamentals and covers the entire syllabus of IOI. Students from any country in the world can take this course to participate and compete for the exam as the syllabus is the same. The course is in two levels of preparation, as shown below.

*This course also provides additional question banks for IOI preparation.

Course Structure

Level 1:

Axioms & Theorems
Number Theory
Number Problems & Puzzles
Discrete vs. Continuous Maths
.Logical Reasoning & Analysis
Mathematical Induction
Set Theory
Linear Algebra
First-order logic
Series & Progressions
Limits & Calculus
When to apply Limits & Calculus
Factorials
Exponents & Logarithms
When to apply Logarithms
Euclidean Geometry
Graphs
Maxima and Minima
Permutations & Combinations
Writing basic algorithms/pseudo-code

Level 2:

Searching Algorithms in C++
Sorting Algorithms in C++
Selection Algorithms in C++
Graphs & Trees in C++
Spanning & Traversals
Applications of Recursion
Linear & Non-linear data structures
Data-types & Number System
Problems on Arrays and Strings
Advanced problems in Stacks & Queues
Divide & Conquer Algorithms
Algorithm Complexity
Time & Space trade-offs
Best, Average and Worst-case
Theory of Computation
Regular Expressions
k-means clustering
Taxi-cab Geometry

Tools/Platform:

Languages Covered:

Duration: 150 Classes, 3 classes/week

Price per 1:1 class:

₹550

Roblox Game Development

(Lua)

Children will learn to develop games in Roblox studio in this course. They would learn the programming language ‘Lua’, which is used to create games in Roblox. The course includes the entire fundamental programming concepts which would help get the necessary foundation for the children to develop games in Roblox studio in future. Children will also learn the programming basics and constructs to develop their skills in any programming language.

Course Structure

Introduction to Roblox studio
Game Designing in Roblox
Scripting in Roblox studio
Variables in Lua scripting and basics
Make various games based on variables
Introduction to Loops, Conditionals and Arrays in Lua
Applying Loops and Conditionals
Creating Player Tool and applying in creating games
Collision and Collision detection
Controlling media files such as camera, images, text, and frames
Graphical User Interface basics
Application of physics concepts in game development – Gravity, Collision, etc.
Create and publish your own game in Roblox

Tools/Platform:

Languages Covered:

Duration: 70 Classes, 2-3 classes/week

Price per 1:1 class:

₹550

Graphics Designing

In this course, kids will learn about 3D modeling & animation by visualizing and creating their own 3D designs, enabling them to convert their imagination to reality. They will learn to use 3D tools and create objects in virtual space and will learn basic modeling and rendering.

Course Structure

Introduction to 3D reality
Basic 3D Geometry
Understanding viewports
Modeling using 3D forms
Understanding and creating structures using polygon components
Extrude and bevel tool in animation
Materials and Lights
Working with camera and render setup
Components and Basic architecture modeling
Modifying structure
Basics of Animation
Understanding Rendering
Modeling & Textures
Key frames and Frame per second
Animation & Modeling Project

Tools/Platform:

Duration: 50 Classes, 2-3 classes/week

Price per 1:1 class:

₹550

AI and Machine Learning

Teaching machines to not only process but to make decisions. Students will be introduced to the concepts of Artificial Intelligence and Machine Learning. The course will introduce to simple machine learning models to students through games and interactive projects. Students will explore how to teach computers patterns, and then develop machine learning projects around basic data. By the end of the course children will be able to apply basic concepts of AI/ML.

Course Structure

Introduction to Machine Learning and AI
Types of Machine Learning Models
Toying with IBM Watson Assistant
Finding patterns – basic clustering and grouping
Understanding different types of data – picture, video, text, etc.
Machine learning cycle – identify, prepare, select the model, train, evaluate & deploy.
Create your own AI/ML Project
Supervised vs. Unsupervised Algorithms
Classification vs. Prediction vs. Description Models
Basics of Classification – face detection, speech recognition, spam mail classification, etc.
Basic text sentiment analysis app
Simulation – Deep Dream
Introduction to Chatbots
Creating Chatbots
Integrating Chatbots in App
Representing data in Vectors
Correlation is not Causation
Association vs. Prediction
Programming basic models in Python and JavaScript
Projects in NumPy, PyTorch, and TensorFlow