Programming

Prerequisite:

  • None

Suitable For:

  • Students with no programming background
  • Beginners preparing for a career in software development
  • Engineers moving into AI, automation, or data science
  • Students building strong programming fundamentals
  • Anyone interested in practical Python development

Description:
Learn Python programming from the ground up through practical, project-based training. Build a strong programming foundation and develop the skills needed for software development, automation, AI, and data science.

Students Will Learn:

  • Write Python programs from scratch
  • Understand core programming concepts
  • Write clean, readable, and maintainable code
  • Use functions, modules, and object-oriented programming
  • Work with files, packages, and external libraries
  • Handle errors and debug applications
  • Use virtual environments and manage project dependencies
  • Build practical, portfolio-ready Python projects

Syllabus:

  • Introduction to programming and Python
  • Python installation and development environment
  • Variables and data types
  • Operators and expressions
  • Input and output
  • Conditional statements
  • Loops
  • Functions
  • Lists, tuples, sets, and dictionaries
  • Strings and data manipulation
  • Modules and packages
  • Object-oriented programming
  • File handling
  • Exception handling
  • Working with Python libraries
  • Virtual environments and package management
  • Debugging techniques
  • Clean code and programming best practices
  • Introduction to automation with Python
  • Practical programming projects
  • Final portfolio project

Prerequisite:

  • None

Suitable For:

  • Students with no programming background
  • Beginners interested in programming
  • Engineering students
  • Embedded systems developers
  • Anyone interested in low-level programming

Syllabus:

  • Introduction to programming
  • C fundamentals
  • Variables and data types
  • Operators and expressions
  • Input and output
  • Conditional statements
  • Loops
  • Functions
  • Arrays and strings
  • Pointers
  • Memory management
  • Structures and unions
  • File handling
  • Debugging basics
  • Modular programming
  • Embedded programming examples

Prerequisite:

  • None

Suitable For:

  • Students with no programming background
  • Beginners interested in software development
  • Engineering students
  • Anyone interested in learning C++

Syllabus:

  • Introduction to programming
  • C++ fundamentals
  • Variables and data types
  • Operators and expressions
  • Input and output
  • Conditional statements
  • Loops
  • Functions
  • Arrays and strings
  • References
  • Pointers
  • Structures and enumerations
  • Basic file handling
  • Debugging basics
  • Introduction to object-oriented programming
  • Classes and objects
  • Constructors and destructors
  • Encapsulation
  • Basic programming projects

Prerequisite:

  • C++ Programming – Fundamental or equivalent knowledge

Suitable For:

  • C++ developers
  • Software developers
  • Engineering students
  • Programmers interested in modern C++
  • Developers interested in object-oriented and high-performance programming

Syllabus:

  • Advanced classes and objects
  • Inheritance
  • Polymorphism
  • Abstract classes
  • Operator overloading
  • Templates
  • Standard Template Library (STL)
  • STL containers
  • Iterators and algorithms
  • Lambda expressions
  • Exception handling
  • Smart pointers
  • Dynamic memory management
  • RAII
  • Move semantics
  • Modern C++ concepts
  • Modular programming
  • Multithreading basics
  • Thread synchronization
  • Advanced debugging techniques
  • Practical C++ projects

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