Courses

Mother of all Programming Languages!

Topics Covered: Introduction to C, Literals, Tokens, Operators, Variables, Conditional Statements, Loops, Functions, Pointers, Arrays, 2-Dimensional Arrays, Structures, Enumerators, Dynamic Memory Allocation, File Handling, and much more. 

Object Oriented Programming: C++

Topics Covered: Concepts of Object Oriented Programming Language, Classes and Objects, Data Member, Member Methods, Constructors, Destructors, References, this Pointer, Inheritance, Polymorphism, Encapsulation, Abstraction, Operator Overloading & much more.. 

Implementing Algorithms to manage Data

Topics Covered: Basics of DSA, Arrays, Search Algorithms, Sort Algorithms, Stacks, Queues, Circular Queues, Linked Lists, Doubly Linked Lists, Circular Doubly Linked Lists, Graphs, Trees

Dynamic High-Level Programming Language

Topics Covered: Introduction to Python, Basic Building Blocks,  Data Handling, Conditional & Iterative Statements, Functions, Data Structures (List, Tuples, Sets, Dictionaries),String Functions, List Manipulation, Object Oriented Programming Concepts, File Handling, Modules and Packages, Exception Handling, Data Handling with NumPy, Introduction to Relational Databases, Regular Expressions and much more!

Diverse and Potential growth to augment human capabilities

Topics Covered: Introduction to Java, Java Development Environment, Basic Syntax, Control Statements, OOP Fundamentals, Exception Handling, File Handling, Collections Framework, Multithreading, Introduction to Java API, Applets & Swing, Networking, JDBC, Introduction to JavaFX.

Machines in Motion! Automation Revolution!

Topics Covered: Introduction to Robotics, Basic Electronics (voltage, current, resistance), Components (LEDs, resistors, switches, motors), Sensors (IR, LDR, ultrasonic, soil moisture), Breadboard Circuits, Arduino Programming, Motor Control & Motor Drivers, Relays, Building Line-Follower and Obstacle-Avoiding Robots, Mini Projects and much more!

Evolving Machines!

Topics Covered: Introduction to AI & Machine Learning, Python for ML, Data Handling with NumPy & Pandas, Data Visualization, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Training & Evaluation, Introduction to Neural Networks, Real-World ML Projects and much more!