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Web Development With Python and Django
Python & Django Training in Kathmandu, Nepal
Thousands of students have started their careers after getting certified by Broadway Infosys
Updated On: 21/08/2026
Created On: 04/04/2018
Course Overview
Broadway Infosys offers special Python training courses in Nepal as it is considered as one of the popular programming languages that is attracting large pool of developers worldwide. The giants like Google, Yahoo and Amazon are using Python for their special projects and this has further inspired many developers to learn this programming language in Nepal
Python training course has been designed for aspiring developers with some level or no prior programming experience. The courses range from basic to advanced level. The course is all about familiarizing the trainees with simpler and smarter ways to develop interactive web applications using Python. At the end of the training, students need to undertake a project work to develop interactive application using Python.
Tools Covered
Some of the major industry-relevant tools you'll work with in this course include:
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Python
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VS Code
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Django
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HTML
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CSS
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JavaScript
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jQuery
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Bootstrap
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Django ORM
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SQLite
Our Student’s Voice
Hear from graduates who have completed our courses.
Ms. Ashmita Shrestha
Python & Django Training
I had a great experience at Broadway Infosys. The Web Design course was practical, well-structured, and very informative. Special thanks to our instructor for his clear explanations, supportive teaching style, and constant encouragement throughout the course. Thank you, Broadway Infosys...
Ms. Deepti Subedi
Python & Django Training
I am very happy and satisfied with my decision of taking the course of Python and Django from Broadway Infosys. I have achieved so much skill, and I am grateful I got a mentor from instructor, who is very helpful...
Mr. Shivam Sharma
Python & Django Training
I feel interested and learn a lot from our instructor and the environment of Broadway Infosys.
Students who got hired learning with us
Hear from graduates who have completed our courses.
College/Faculty: Nepal College of Information Technology ( NCIT) / Bachelor in Computer Engineering (BE-CE)
Working At: COL Thinkspace
Position: Python Backend Development Intern
College/Faculty: Manakamana Higher Secondary School / A-Level (Management & Computer Science)
Working At: Classic Tech Pvt. Ltd.
Position: Branch Fiber Coordinator
College/Faculty: Padma Kanya Multiple Campus / BSc. CSIT
Working At: Brahmabyte Lab
Position: Python Intern
College/Faculty: Danfe College / BCA
Working At: Aarawan Tech
Position: Junior Backend Developer
Our graduates are hired by 470+ companies in Nepal
Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
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Frequently Asked Questions
No prior professional experience is required. Basic programming or Python knowledge can help, but beginners interested in web development can also join the training.
Yes. The training suits beginners and learners who already have some programming knowledge and want to build their skills in Python and Django.
You will learn Python programming, Django web development, database integration, backend development, APIs, and other concepts needed to build dynamic, scalable web applications.
Yes. You will work on practical projects that help you understand how Python and Django are used to develop real-world web applications.
After completing the training, you will be able to develop web applications using Python and Django, work with databases, build backend functionality, develop APIs, and apply your skills to real-world projects.
Dedicated labs, certified instructors, and placement support. You will receive guidance from trainers throughout the course, including support with practical exercises, coding tasks, project work, and technical concepts. You can also ask questions and get clarification during the training.
Yes. Depending on your requirements, you can discuss suitable schedules with the training team. One-to-one training and group-based learning options may also be available.
Our course is available in hybrid training mode. You can attend classes in person or join online, whichever works best for you. If you cannot attend in person on a particular day, you can simply join the class online instead.
The course pricing varies depending on the subject and level. For detailed information on the course price, please contact us directly: +977-9841002000 / +977-1-4111849. Our team will be happy to guide you or send us an email at [email protected].
Our syllabus outlines are only the headlines of the major modules. To ensure a complete understanding of the course, we offer free counseling. Also, if you have specific modules in mind, you can customize the course. Send your inquiry today!
Lesson 1: Python Programming Language
- What exactly is Python?
- Python's root and its ecosystem
- Python Installation & IDEs setting up (Google Colab, Jupyter Notebook, VSCode, PyCharm)
- Python framework & Python syntax
- Hands-on writing code on Google Colab
- Data Types & Variables (String, Integer, Float, Complex, Boolean, None)
- Input and Output Functions
- Working with the format() method, f-strings, & escape sequences
- Basic Arithmetic & Operators
- Type casting, type checking, & validation
- Conditional Statements (if, else, elif)
- Loops (for, while)
- Looping over tuples, strings, & dictionaries
- Special loops in Python (for/else)
- Using nested loops and flow control through conditions
- Resolving real-world problems to improve skills
- Special Statements: pass, continue, break
AI Tool:
- Google Colab - Gemini
Lists:
- Overview & fundamental operations
- Indexing, slicing, & negative indexing
- Looping through lists & conditions
- List methods like .insert(), .append(), .remove(), .sort(), etc.
- List comprehension with conditions
Tuples:
- Introduction & operations
- Indexing, slicing, & looping
- List versus Tuple
- Switching between lists and tuples
- Tuple unpacking
Sets:
- Introduction & set operations
- Adding, removing, & discarding items
- Set operations: union, intersection, and difference
- Frozenset versus set
Dictionaries:
- Introduction to dictionaries & methods like .get(), .update(), .keys(), .pop(), etc.
- Dictionary comprehension
- Nested dictionaries
AI Tool:
- Gemini or Codeium
- Defining functions through def keyword
- Parameters, Arguments, & Return Statements
- Returning multiple values
- Default & keyword arguments
- Anonymous functions (lambda)
- Nested functions & closures
- Scopes in Python: Local and Global
Text File Operations:
- Reading & writing text files
- Modes of file (r, w, a, rb, wb)
- File path handling with the os module
Working with CSV Files:
- Basics of CSV format and operations
- Reading & writing CSV files with csv.reader & csv.writer
- Using dictionaries in CSV files
Working with JSON:
- Introduction to JSON & its structure
- Reading & writing JSON data with the json module
- Parsing JSON strings
AI Tool:
- Using ChatGPT for prompt engineering
- Classes & Objects
- Class versus Object attributes
- Initializing object attributes with __init__()
- self keyword
- Inheritance: single, multiple, and multi-level
- Polymorphism & operator overloading
- Function overriding & encapsulation
AI Tools:
- Pythontutor.com
- Try-except blocks
- Catching specific exceptions
- Using else & finally
- Generating and creating custom exceptions
- Problem-solving strategies
- Lambda Functions
- Generators & Iterators
- List Comprehensions
- Working with *args & **kwargs
Standard Libraries: os, random, math, functools, etc.
Data Manipulation with Pandas
- Working with DataFrames
- Reading & writing CSV files
- Data manipulation techniques
Data Visualization
- Using Matplotlib, Seaborn, and Plotly
AI Tools
- Pandas Profiling
- Designing and changing databases and tables
- CRUD operations (CREATE, SELECT, UPDATE, DELETE)
- Filtering data with the WHERE clause
AI Tools:
- DBeaver for SQL queries
- Optimizing & explaining SQL queries with ChatGPT
- Installing & configuring Git
- Setting up local & remote repositories
- Making commits & branching
- Integrating local repositories to GitHub
- Cloning repositories and pushing
AI Tools
- GitHub Copilot for Git commands
- Web Scraping + Database + File Operations: Scrape data, store it in SQL, & export to CSV/JSON
- Desktop Application (Data Entry System): Develop an application to manage data in JSON/CSV format
- CLI Application with CRUD Operations: Design a CLI app with basic CRUD operations & database integration
Lesson 2: Course Outline for Django Framework
- HTML, CSS and basic JavaScript
- Forms and basic DOM
- Python syntax and data types
- Conditions and loops
- Functions
- Lists, dictionaries and tuples
- Basic OOP
- Exception handling
- Git & GitHub basics
- AI-assisted coding basics
- Installing Python with uv
- Creating a project with uv
- Virtual environment
- Installing packages with uv add
- pyproject.toml
- uv.lock
- Development dependencies
- Running Django with uv run
- What is Django?
- Django project and app
- Project structure
- MVT architecture
- Settings
- URLs
- Views
- Request & Response
- Django development server
- AI-assisted Django development
- Django Models
- Model fields
- Migrations
- Django ORM
- CRUD operations
- QuerySets
- Filtering and ordering
- ForeignKey
- ManyToMany
- OneToOne
- SQLite
- PostgreSQL basics
- AI-assisted ORM queries
- Function-based views
- Basic class-based views
- URL routing
- URL parameters
- Django Templates
- Template variables
- Template tags and filters
- Template inheritance
- Static files
- HTML forms
- AI-assisted template development
- Bootstrap setup
- Grid system
- Responsive design
- Navbar
- Cards
- Tables
- Forms
- Modals
- Alerts
- Pagination
- Building Django pages with Bootstrap
- AI-generated UI assistance
- Django Forms
- ModelForms
- Form validation
- Custom validation
- Error handling
- File uploads
- Image uploads
- CSRF protection
- AI-assisted form development
- User registration
- Login
- Logout
- Password management
- Sessions
- User permissions
- Groups
- Staff and superuser
- Basic role-based access
- AI-assisted authentication development
- JavaScript with Django
- Fetch API
- JSON
- AJAX requests
- GET/POST requests
- CSRF with AJAX
- Django JsonResponse
- Dynamic page updates
- Loading and error handling
- Basic jQuery AJAX
- REST API concepts
- DRF setup
- Serializers
- ModelSerializer
- API views
- ViewSets
- Routers
- CRUD APIs
- Authentication
- Permissions
- Pagination
- Filtering
- API testing
- Swagger/OpenAPI
- AI-assisted API development
- PostgreSQL setup
- Django + PostgreSQL
- Relationships
- Basic query optimization
- Environment variables
- .env configuration
- Django Admin customization
- Third-party Django packages
- Dependency management with uv
- AI API integration
- API keys
- Django + LLM APIs
- AI chat functionality
- Saving AI responses
- Handling AI errors
- AI integration with DRF
- AI chatbot
- AI content generator
- AI document summarizer
- AI search
- Prompt management
- AI response validation
- AI usage/cost handling
- Django testing basics
- pytest basics
- Model and API testing
- Test authentication
- GitHub workflow
- Basic CI/CD
- AI-assisted debugging and deployment
Build a real-world Django application with AI.
Students must implement:
- Authentication
- User roles
- CRUD
- PostgreSQL
- Django Admin
- REST API
- Search/filtering
- File upload
- AI-powered feature
- Basic tests
- Git/GitHub
- Deployment
Project options:
- AI Restaurant Management System
- AI Job Portal
- AI School Management System
- AI E-Commerce System
- AI Customer Support System
- AI News Portal
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Upcoming Classes (11)
Why Python & Django Training?
Two Skills, One Path: Master Python fundamentals first, then build full web applications with Django, a clear progression from language basics to production-ready apps.
Backend to Frontend, Fully Covered: Learn Django ORM, REST APIs, and authentication alongside HTML, CSS, JavaScript, and Bootstrap to build complete web apps, not just backend logic.
Industry-Trusted Language: Python powers projects at Google, Yahoo, and Amazon. Learn the same language driving some of the world's biggest tech platforms.
AI Tools Throughout: Use ChatGPT, GitHub Copilot, and Django AI Assistant to code faster and debug smarter. Build modern habits alongside modern frameworks.
Real Projects, Real Portfolio: Build a news portal, job portal, online store, or REST API as your final project—a live example of your skills for interviews and freelance work.
Highly Qualified Instructors: Learn from experienced Python instructors who bring real-world development expertise into every class.
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