ADVANCE DIPLOMA IN PYTHON

Duration: 8 MONTHS

Course Syllabus

Course Title: Advance Diploma in Python  (Skill Development )

Course Duration:  8 Months 

Course Objectives:

  1. Develop proficiency in Python programming to create applications for real-world problems.

  2. Learn advanced programming concepts, file handling, GUIs, and database integration.

  3. Equip students with essential web development skills using HTML5, CSS3, and Django.

  4. Promote self-employment by empowering learners to build software products or work as freelance developers.

  5. Provide practical knowledge to develop full-fledged applications and implement client requirements effectively.

Course Overview:

The Advance Diploma in Python is an 8-month part-time skill development program designed to create industry-ready professionals. The course provides a strong foundation in Python and integrates advanced topics, such as GUI development, database management, network programming, and Django. Additionally, it offers fundamental web development knowledge to enable full-stack development.

With an emphasis on practical learning through projects, assignments, and hands-on sessions, the course prepares students for self-employment opportunities, including freelancing, startup development, and customized software solutions.

Teaching Methodology:

  1. Interactive Classroom Sessions: Concept-based lectures with real-world examples.

  2. Practical Workshops: Hands-on coding practice for every module.

  3. Assignments & Projects: Problem-solving tasks to ensure skill implementation.

  4. Doubt Resolution: Dedicated sessions to clarify concepts and resolve issues.

  5. Capstone Project: A final real-world project to showcase and apply all acquired skills.

  6. Assessment: Regular quizzes, module tests, and final evaluations.

Career Growth & Self-Employment Importance:

  • Acquire skills for freelance opportunities on platforms like Upwork and Fiverr.

  • Build scalable solutions for businesses, leading to entrepreneurial ventures.

  • Become proficient in Python, one of the most in-demand programming languages in India and globally.

  • Gain a competitive edge in software development, automation, and web-based projects.

  • Enable job-readiness for roles such as Python Developer, Software Engineer, Web Developer, or Data Analyst.

Syllabus

Module 1: Introduction to Python

  • What can Python do?

  • Why Python? Good to know

  • Python Syntax compared to other programming languages

  • Python Installation and Setup

Module 2: Beginning Python Basics

  • The Print Statement

  • Comments

  • Python Data Structures & Data Types

  • String Operations

  • Simple Input & Output

  • Simple Output Formatting

  • Operators in Python

Module 3: Python Program Flow

  • Indentation

  • If Statements and Loops

  • For Loop, While Loop, Break & Continue

  • Range Statement

  • Assert Statements

  • Examples for Program Flow

Module 4: Functions & Modules

  • Creating Functions

  • Function Parameters & Scope

  • Lambda Functions

  • Creating & Importing Modules

  • Standard Libraries and Use Cases

Module 5: Exception Handling

  • Errors and Exceptions

  • Try, Except Blocks

  • Handling Multiple Exceptions

  • Custom Exception Classes

Module 6: File Handling

  • Reading, Writing, and Appending Files

  • File Handling Modes

  • Handling File Exceptions

  • The "with" Statement

Module 7: Classes in Python

  • Creating Classes

  • Object-Oriented Programming (OOP) Basics

  • Inheritance and Polymorphism

  • Exception Classes and Custom Exceptions

Module 8: Generators and Iterators

  • Iterators and Generators

  • The "any" and "all" Functions

  • Data Compression Techniques

Module 9: Data Structures

  • List, Dictionary, and Set Comprehensions

  • Nested List Comprehensions

  • Specialized Sorting Techniques

Module 10: Collections Module

  • namedtuple()

  • deque, ChainMap, Counter

  • OrderedDict, defaultdict

  • UserDict, UserList, UserString

Module 11: GUI Development with Tkinter

  • Introduction to Tkinter

  • Creating GUI Components

  • Buttons, Labels, Entry Widgets, and Text Widgets

  • Checkbuttons and Events

  • Simple GUI Applications

Module 12: Database Access (MySQL & SQLite)

  • Introduction to SQL Databases

  • Installation and Setup

  • Connecting Python with MySQL and SQLite

  • CRUD Operations (Create, Read, Update, Delete)

  • COMMIT & ROLLBACK

Module 13: Network Programming

  • Understanding Clients and Servers

  • Building Basic Network Programs

  • Client-Server Communication

Module 14: Date and Time Management

  • Using Date and Time Modules

  • Sleep and Execution Timing

Module 15: Advanced Python Topics

  • Filter, Map, and Reduce

  • Decorators

  • Frozen Sets

Module 16: Regular Expressions

  • Splitting, Searching, and Matching

  • Special Characters, Quantifiers, and Substitution

Module 17: Multithreading

  • Introduction to Threads

  • Multi-threading and Synchronization

  • Thread Life Cycle

Module 18: Web Development Essentials

HTML5

  • Introduction to HTML5

  • Semantic Elements, Layout, and Media

  • Tables, Forms, Links, and Iframes

  • Responsive Web Design

CSS3

  • CSS Basics and Styling Text/Elements

  • Borders, Gradients, Shadows, and Animations

  • Responsive Design Using Media Queries

  • Forms and Buttons

Module 19: Django Framework

  • Django Installation and Project Setup

  • Understanding the MVC Pattern

  • Creating and Managing Applications

  • Views, Templates, and Static Files

  • Database Connectivity and Models

  • Building API Endpoints

  • Security Features in Django

Course Assessment

  1. Weekly Assessments: Practice tests after each module.
  2. Practical Assignments: Real-life scenarios for every topic.
  3. Capstone Project: Final project for course certification.
  4. Viva/Presentation: To demonstrate project understanding.

Additional Support

  • Soft Skills Training: Communication and client-handling skills for freelancing.
  • Career Counseling: Job interviews, resume building, and startup mentorship.
  • Placement Assistance: Tie-ups with industries and freelance clients.

This syllabus ensures holistic development of the students in Python programming while focusing on real-world applications to promote self-employment opportunities and career growth.



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