BACK END WEBSITE DEVELOPMENT ( .NET)

Become a backend expert with the .NET Back End Website Development program by EDURUSH. Learn to build robust, scalable web applications using .NET, SQL, and other backend technologies. Gain hands-on experience and master the skills needed to excel in backend development. Join our program and start building the web’s backbone today!

online life training via LMS

online life training via LMS

offline life training at campus

offline life training at campus

hansome trainee

hansome trainee

Pricing

₹88,000 (10% OFF)

+GST (18% )

₹80,000

PYTHON BACK END WEBSITE DEVELOPMENT

Become a backend expert with our Python Backend Development Program by EDURUSH. Learn to build robust, scalable web applications using Python, Django, and other backend technologies. Gain hands-on experience and master the skills needed to excel in backend development. Join our program and start building the web’s backbone today

Online Live Training Via LMS

Online Live Training Via LMS

Offline Live Training at Campus

Offline Live Training at Campus

Hands on
Training

Pricing

₹65,000 (38% OFF)

+GST (18%)

₹40,000

Course Journey

Kick start your journey

Master Backend Development by Solving Real Problems

Career Advancement

Job Placement Support

Achieve Your Career Goals

Kick start your journey

Master Backend Development by Solving Real Problems

Career Advancement

Job Placement Support

Achieve Your Career Goals

Course curriculum

Module 1 - Introduction to Python Backend Development

Introduction of PYTHON

  • Overview of backend development?
  • Role of Python in backend systems?
  • Comparing .Net To Other technologies
  • Understanding client-server architecture?
  • Introduction to web servers and databases?
  • Setting up the development environment?
  • Overview of Python web frameworks?
  • Objectives and expectations?
Module 2 - Python Programming Fundamentals
  • What are the data types and variables?
  • Control flow statements (if, for, while)?
  • Functions and scope?
  • Error handling and exceptions? 
  • Modules and packages?
  • File input and output operations?
  • Introduction to object-oriented programming?
Module 3 - Data Structures and Algorithms
  • Understanding lists, tuples, and sets.
  • Dictionaries and their applications.
  • Stacks, queues, and linked lists.
  • Trees and graphs: basic concepts?
  • Sorting and searching algorithms?
  • Big-O notation and algorithm complexity?
  • Recursion and dynamic programming.
  • Practical problem-solving with data structures.
Module 4 - Advanced Python Concepts
  • What is Decorators and generators?
  • What is Context managers?
  • Metaclasses and introspection
  • Asynchronous programming  
  • Introduction to Multithreading and multiprocessing.
  • Implementing design patterns in Python?
  • Memory management and optimization?
  • Lambda functions and higher-order functions.
  • Working with iterators and generators.
Module 5 - Working with Databases
  • Introduction to relational databases?
  • SQL fundamentals.
  • Using SQLite with Python?
  • Introduction to Object-Relational Mapping (ORM)?
  • Working with SQLAlchemy.
  • Database migrations and version control.
Module 6 - Web Frameworks: Flask
  • Introduction to Flask?
  • Setting up a Flask application.
  • Routing and view functions.
  • Handling forms and user input?
  • Implementing RESTful APIs with Flask?
Module 7 - Web Frameworks: Django
  • Introduction to Django?
  • Project setup and configuration.
  • Django’s MTV architecture?
  • Building REST APIs with Django REST Framework?
  • Admin interface and user management.
  • Form handling and validation?
Module 8 - Authentication and Authorization
  • Understanding authentication vs authorization?
  • Implementing user registration and login.
  • Session management
  • Securing APIs and endpoints.
  • OAuth and third-party authentication
  • Role-based access control.
  • Token-based authentication (e.g., JWT).
Module 9 - APIs and Web Services
  • Introduction to APIs and web services?
  • RESTful API principles.
  • Designing and documenting APIs?
  • Consuming third-party APIs.
  • Error handling in APIs?
  • Versioning and maintaining APIs.
  • Introduction to GraphQL?
Module 10 - Testing and Debugging
  • Importance of testing in development?
  • Unit testing with unittest and pytest
  • Mocking and patching.
  • Integration and functional testing?
  • Test-driven development (TDD) principles.
  • Debugging techniques and tools?
  • Continuous integration and deployment (CI/CD)?
Module 11 - Deployment and DevOps
  • Preparing applications for deployment.
  • Introduction to WSGI and ASGI?
  • Deployment platforms (e.g., Heroku, AWS, DigitalOcean).
  • Setting up web servers (e.g., Nginx, Gunicorn).
  • Environment variables and configuration management
Module 12 - Asynchronous Programming
  • Introduction to asynchronous programming concepts.
  • Creating asynchronous functions and coroutines.
  • Managing asynchronous tasks and event loops.
  • Implementing asynchronous I/O operations.
  • Integrating asynchronous code with web frameworks.
  • Error handling in asynchronous code.
Module 13 - Working with Cloud Services
  • Introduction to cloud computing?
  • Using cloud-based databases (e.g., AWS RDS).
  • Integrating with cloud storage services (e.g., S3).
  • Serverless computing concepts.
  • How to Deploying applications using cloud platforms?
  • Managing infrastructure as code (e.g., Terraform).
Module 14 - Performance Optimization
  • Profiling and identifying bottlenecks.
  • Code optimization techniques.
  • What is Caching strategies
  • Database indexing and query optimization.
  • Load balancing and horizontal scaling?
  • Asynchronous task queues
  • Measuring and improving response times.
Module 15 - Logging and Monitoring
  • Importance of logging in applications.
  • Setting up logging in Python.
  • Structured logging practices.
  • Monitoring application performance?
  • Setting up alerts and notifications.
  • Log aggregation and analysis?
Module 16 - Microservices Architecture
  • Introduction to microservices?
  • Designing microservices with Python?
  • Communication between services (e.g., REST, gRPC).
  • Service discovery and orchestration.
  • Deploying microservices with containers.
  • How to monitoring and maintaining microservices

Our Instructors

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madhavi.R

Back end Website Development (PYTHON)

digital-learning-hub-smiling-indian-man-engages-with-tablet-amidst-student-community_29977-274

Ramesh.D

Back end Website Development (PYTHON)

Course Benefits

edurush

Free resources

Other courses

Structured + problem solving based

Fastest 1:1 doubt support

Integrated prep platform

Profiles highlighted on Naukri

Your dream role, faster and with confidence!

100%

Average role, under-confident

others

Course Benefits

edurush

Free resources

Other courses

Focused & Applied Learning Approach

Rapid 1:1 Doubt Support

Unified Learning Platform

Highlighted Profiles on Naukri

Real-World Project Experience

Flexible Learning Schedule

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FAQ’s Of Backend Development

What are the prerequisites for learning PYTHON?

Python is beginner-friendly; no prior programming experience is required. However, familiarity with basic computer operations, logical thinking, and problem-solving skills can enhance your learning experience.

How much time will it take to learn python?

The duration of our program is 3 months (220 hours). However, the actual time to become proficient may vary depending on your prior experience and dedication to practice.

Is there any certification for PYTHON?

Yes, you will receive a certification upon successful completion of the program, validating your skills in PYTHON backend development.

Why is PYTHON better than other backend technologies?

Python's simplicity, versatility, and extensive ecosystem make it a preferred choice for backend development. Its readable syntax facilitates rapid development, while a vast array of libraries supports diverse applications, from web development to data analysis.

How do I get my doubts resolved?

You can get your doubts resolved through 1:1 sessions with instructors, interactive live classes, and dedicated support via the learning management system (LMS).

Where will the classes be conducted? What are the course timings?

Classes are conducted online via the LMS and offline at EDURUSH campuses. Course timings vary based on the batch you enroll in and can include weekday and weekend options to accommodate different schedules.

How will I benefit from Industry Mentors?

Industry mentors provide valuable insights, guidance, and feedback based on their real-world experience. They can help you prepare for interviews, enhance your understanding of industry practices, and provide networking opportunities.

Do I need a computer science background to enroll for this course?

No, a computer science background is not mandatory. Basic programming knowledge and familiarity with web technologies are sufficient to get started.

Can I do this program along with my college?

Yes, the program is designed to be flexible, with weekday and weekend options available to accommodate college students' schedules.

Where do Edurush alumni work?

EDURUSH alumni work at various renowned companies, including tech giants, startups, and other leading firms across multiple industries.