Braindrain Internship Training Program

Industrial Training Program

#	Training Course	Syllabus	Level	Duration
1	Python Beginner	View Syllabus	Basic	3 Months
2	Python Advance	View Syllabus	Advance	3 Months
3	C Programming Basic	View Syllabus	Basic	3 Months
4	C Programming Advance	View Syllabus	Advance	3 Months
5	Java Beginner	Basic	3 Months
6	Java Advance	Advance	3 Months
7	PHP Programming	Basic	3 Months
8	PHP Programming	Advance	3 Months
9	Website Development	Beginner	3 Months
10	Website Development	Experienced	6 Months
11	Mobile App Development	Beginner	3 Months
12	Mobile App Development	Experienced	6 Months

Internship Program

#	Project Type	Duration
1	Python Project	3 Months
2	Java Project	3 Months
3	PHP Project	3 Months
4	React Project	3 Months
5	React Native Project	3 Months
6	Website Development Internship	3 Months
7	Mobile App Development Internship	3 Months

Python Syllabus For Beginner

#	Topics	Key Points
1	Getting Started with Python Programming	Learn Python Basics, Syntax, Keywords in Python, Comments in Python, Python Variables, Python Data Types
2	Python Input/Output	print() function, f-string, Print without newline, Python \| end parameter, Python \| sep parameter,Python \| Output Formatting, Taking Input, Taking Multiple Inputs
3	Python Data Types	Strings, Numbers, Booleans, Python List, Python Tuples, Python Sets, Python Dictionary, Python Arrays, Type Casting
4	Python Operators	Arithmetic operators, Comparison Operators, Logical Operators, Bitwise Operators, Assignment Operators, Python "in", and "is" operator
5	Python Conditional Statement	Python If else, Nested if statement, if-elif-else Ladder, If Else on One Line, Ternary Condition in Python, Match Case Statement
6	Python Loops	For Loop, While Loop, Loop control statements, Python List Comprehension, Python Dictionary Comprehension
7	Python Functions	Arguments and Return Values, Global and Local Scope Variables, Use of pass Statement, Return statemen, Python range() function, args and *kwargs in Python Function, Python closures, Python ‘Self’ as Default Argument, Decorators in Python, Python closures, Map Function, Filter Function, Reduce Function, Lambda Function

Python Syllabus For Advance

#	Topics	Key Points
1	Python Data Structures	Strings, List, Tuples, Dictionary, Sets, Arrays, List Comprehension, Counters, Heapq, Deque, OrderedDict, Defaultdict
2	Python OOPs Concepts	Classes and Objects, Polymorphism, Inheritance, Abstract, Encapsulation, Iterators
3	Python Exception Handling	Strings, Numbers, Booleans, Python List, Python Tuples, Python Sets, Python Dictionary, Python Arrays, Type Casting
4	File Handling	File Handling, Different File Modes, Read Files, Write/Create Files, OS Module, pathlib Module, Directory Management
5	Python Database Handling	Python MongoDB, Python MySQL
6	Python Packages or Libraries	Built-in Modules in Python, Python DSA Libraries, Python GUI Libraries
7	Data Science with Python	Foundational Libraries (NumPy, Pandas, Matplotlib), Advanced Visualization and Statistical Tools (Seaborn, Statsmodel), Machine Learning Libraries (Scikit-learn, XGBoost /LightGBM), Deep Learning Frameworks (TensorFlow and Keras, PyTorch)
8	Web Development with Python	Core Web Frameworks (Flask, Django), Database Integration (SQLite, SQLAlchemy, Django ORM), Front-End and Backend Integration (Jinja2 (Flask), Django Templates), API Development (Flask-RESTful, Django REST Framework (DRF))

C Syllabus for Beginner

#	Topics	Key Points
1	C Fundamentals	C Introduction, Compilation Process, Identifiers, C Keywords, C Variables, Data Type in C, Input and Output in C, Operators, Conditional Statements, Loops
2	C Functions	Functions in C, Parameter Passing Techniques, Main Function, Recursion, Inline Function, Nested Functions
3	Data Types in C	C Arrays, Pointer in C, C Strings, Structures
4	File Handling	File Handling, Different File Modes, Read Files, Write/Create Files, OS Module, pathlib Module, Directory Management
5	Python Database Handling	Python MongoDB, Python MySQL
6	Python Packages or Libraries	Built-in Modules in Python, Python DSA Libraries, Python GUI Libraries
7	Data Science with Python	Foundational Libraries (NumPy, Pandas, Matplotlib), Advanced Visualization and Statistical Tools (Seaborn, Statsmodel), Machine Learning Libraries (Scikit-learn, XGBoost /LightGBM), Deep Learning Frameworks (TensorFlow and Keras, PyTorch)
8	Web Development with Python	Core Web Frameworks (Flask, Django), Database Integration (SQLite, SQLAlchemy, Django ORM), Front-End and Backend Integration (Jinja2 (Flask), Django Templates), API Development (Flask-RESTful, Django REST Framework (DRF))