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Master Python Web Development with Hands-On Offline Training

Join our intensive Python Web Development program with expert mentors, real-world projects, and classroom-based sessions. Build industry-ready skills in full-stack web development with personalized mentor guidance.

100% Offline Classroom Training
Industry Expert Mentors
Guaranteed Job Placement

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Why Choose Our Python Web Development Offline Training?

Experience the power of classroom-based Python learning with personalized attention.

Hands-On Classroom Training

Learn Python from scratch to advanced concepts including Flask, Django, REST APIs, HTML, CSS, JavaScript, and Database Integration with real-time instructor guidance.

Real-World Projects

Work on live web applications, e-commerce platforms, portfolio websites, and API integrations to gain practical, job-ready experience.

Industry-Recognized Certification

Earn Python Web Development Certification recognized globally to boost your career opportunities in IT and software development.

Personalized Mentor Guidance

Get one-on-one mentorship from Python-certified professionals who will guide you throughout your web development journey.

Course Curriculum

  • Overview of Programming Languages
  • Getting Started with Python
  • Installing and Using Python Tools
  • Core Python Language Concepts
  • Working Modes in Python (Interactive & Script)
  • Input and Output Operations in Python
  • Python Operators and Expressions
  • Data Types and Variables in Python
  • Control Flow and Conditional Statements
  • String Manipulation Techniques
  • Bytes, ByteArray, and Range Data Handling
  • Lists in Python: Creation and Operations
  • Tuples in Python: Properties and Usage
  • Sets and Frozen Sets in Python
  • Dictionaries in Python: Keys and Values
  • Python Comprehensions (List, Dict, Set)
  • The NoneType Object in Python
  • Defining and Using Functions
  • Working with Python Modules
  • Understanding Python Packages
  • Error and Exception Handling in Python
  • Using Regular Expressions (re module)
  • File Handling and Stream Operations
  • Leveraging the Collections Module
  • Advanced Concepts in Python
  • Principles of Object-Oriented Programming (OOP)
  • Working with the OS Module
  • Introduction to Multi-threading in Python
  • Python Logging Techniques
  • Handling Date and Time in Python
  • Memory Management and Garbage Collection
  • Python Database Connectivity (PDBC)
  • Network and Socket Programming in Python
  • GUI Development with Tkinter and Turtle
  • Introduction to NumPy: Understanding its Importance and Features
  • Creating NumPy Arrays: Techniques and Best Practices
  • Array Attributes and Supported NumPy Data Types
  • Difference Between Views and Copies of Arrays
  • Indexing, Slicing, and Advanced Indexing in NumPy Arrays
  • Iterating Over Elements of an ndarray Efficiently
  • Performing Arithmetic Operations on Arrays
  • Broadcasting: Rules and Applications in NumPy
  • Array Manipulation Functions for Reshaping and Resizing
  • Combining Multiple Arrays into a Single Array
  • Splitting Arrays into Multiple Sub-arrays
  • Sorting Elements in NumPy Arrays
  • Searching and Finding Elements in an ndarray
  • Inserting Elements into NumPy Arrays
  • Deleting Elements from NumPy Arrays
  • Matrix Multiplication Using the dot() Function
  • Using the Matrix Class in NumPy for Structured Computations
  • Linear Algebra Operations via the linalg Module
  • Input and Output Operations with NumPy
  • Performing Basic Statistical Analysis with NumPy
  • Applying NumPy Mathematical Functions for Computations
  • Finding Unique Elements and Counting Occurrences in Arrays
  • Introduction to Pandas: Overview and Importance
  • Setting Up the Environment for Pandas
  • Basics of Data Structures in Pandas
  • Working with Series in Pandas
  • Working with DataFrames: Creation and Manipulation
  • Understanding Panels (3D Data Structures)
  • Core Functionality of Pandas
  • Descriptive Statistics for Data Analysis
  • Applying Functions to Data (map, apply, applymap)
  • Reindexing and Aligning Data
  • Iterating Over Data Structures
  • Sorting Data in Pandas
  • Handling and Processing Text Data
  • Customization and Options in Pandas
  • Indexing and Selecting Specific Data
  • Using Built-in Statistical Functions
  • Window Functions for Rolling Computations
  • Aggregating Data Using GroupBy Operations
  • Managing Missing Data in Datasets
  • Advanced GroupBy Techniques
  • Merging and Joining Datasets
  • Concatenating Multiple DataFrames
  • Working with Date and Time Data
  • Performing Operations with Timedelta
  • Handling Categorical Data
  • Data Visualization with Pandas
  • Input and Output Tools (CSV, Excel, JSON, SQL)
  • Working with Sparse Data
  • Common Caveats and Gotchas
  • Comparing Pandas Operations with SQL
  • Introduction to Matplotlib: Overview and Importance
  • Basics of Line Plots
  • Advanced Techniques for Line Plots
  • Adding Grid Lines to Charts
  • Incorporating Legends in Plots
  • Customizing Tick Locations and Labels
  • Setting Axis Limits Using xlim() and ylim()
  • Configuring Axis Scales (Linear, Logarithmic, etc.)
  • Exploring Plotting Styles and Themes
  • Functional / Procedural vs Object-Oriented Approaches in Plotting
  • Creating Bar Charts and Bar Graphs
  • Designing Pie Charts
  • Plotting Histograms for Data Distribution
  • Scatter Plots for Relationship Analysis
  • Creating Subplots for Multiple Visuals
  • Plotting Geographic Data Using Base map
  • Three-Dimensional (3D) Plotting in Matplotlib
  • Creating Animations and Dynamic Visuals
  • Introduction to Web Development: Overview and Basics
  • Getting Started with HTML
  • Understanding HTML Document Structure
  • Presentational and Formatting Tags in HTML
  • Working with Titles and HTML Entities
  • Using Attributes in HTML Elements
  • Adding Images and Hyperlinks with Anchor Tags
  • Creating and Managing Lists in HTML
  • Using the Div Tag for Layouts and Containers
  • Designing Tables in HTML
  • Introduction to HTML Forms
  • Exploring HTML Form Controls
  • Additional Form Elements and Controls
  • HTML5: New Semantic and Structural Elements
  • Introduction to CSS: Purpose and Fundamentals
  • Understanding CSS Selectors and Their Types
  • Exploring the CSS Box Model
  • Styling HTML Elements with CSS
  • Advanced Techniques in Cascading Style Sheets
  • Introduction to JavaScript: Overview and Uses
  • Implementing JavaScript in Web Pages
  • JavaScript Variables and Data Types
  • Working with JavaScript Operators
  • Control Flow Statements in JavaScript
  • Arrays: Creation, Manipulation, and Methods
  • Functions in JavaScript
  • Functional Expressions and Arrow Functions
  • String Handling and Manipulation in JavaScript
  • Working with JavaScript Objects
  • Using JavaScript Constructors
  • DOM (Document Object Model) – Understanding the Document Object
  • DOM Elements: Accessing and Manipulating HTML Elements
  • Event Handling in the DOM
  • BOM (Browser Object Model) – Window Object Overview
  • Form Validations and Regular Expressions in JavaScript
  • Introduction to Bootstrap for Responsive Web Design
  • Introduction to Django: Overview and Key Features
  • Installing Django & Atom, and Developing Your First Web Application
  • Working with Templates and Managing Static Files
  • Understanding Views and URL Routing
  • Models and Database Integration in Django
  • Handling Forms and Validation in Django
  • Advanced Template Features and Techniques
  • Session Management in Django Applications
  • User Authentication and Authorization
  • Class-Based Views (CBVs) and CRUD Operations with CBVs & FBVs
  • Working with Django ORM for Database Queries
  • Advanced Model Concepts and Relationships
  • Introduction to Django REST Framework (DRF) for APIs
  • Testing and Debugging Django Applications
  • Caching Strategies and Performance Optimization
  • Advanced Topics in Django Forms
  • Security Best Practices in Django Applications
  • Django Signals and Asynchronous Task Handling
  • Deployment of Django Projects in Production
  • WebSockets and Real-Time Communication
  • Project Development, Implementation, and Refinement
  • Introduction to Flask: Overview and Key Features
  • Developing Web Applications Using Flask
  • Handling Web Forms and Processing User Input
  • Integrating Databases and Managing Data Storage
  • User Authentication and Authorization in Flask
  • Building RESTful APIs with Flask
  • Deployment Strategies and Application Scaling
  • Exploring Advanced Flask Topics and Best Practices
  • MySQL (Relational Database Management System)
  • MongoDB (NoSQL Document Database)
  • Fundamentals of AWS (Amazon Web Services)
  • Version Control with Git
  • Introduction to Docker and Containerization
  • Kubernetes for Container Orchestration

Choose Your Learning Style:

Classroom or Online

Offline Training

Face-to-face interaction with web development mentors
Instant doubt resolution
Peer coding and group projects
Hands-on lab sessions for real web apps
Better focus & structured practice
Networking opportunities with industry experts
VS

Online Training

Learn from anywhere at your pace
Flexible schedule to fit your lifestyle
Access to recorded sessions anytime
Connect with peers virtually
Self-paced learning to master concepts
Cost-effective and convenient

Who Should Join?

Perfect for anyone looking to excel in technology

Students & Freshers

Build a strong foundation in Python and web technologies to kickstart your career as a web developer.

Career Foundation Job Readiness Practical Exposure

Working Professionals

Upgrade your skills, switch to web development, or enhance your tech stack for better opportunities.

Career Growth Salary Boost Skill Upgrade

Entrepreneurs

learn to build and deploy scalable web applications for your own business ventures.

Tech Leadership Business Growth Innovation Edge

Career Opportunities

Unlock high-paying opportunities in the tech industry

95%

Job Placement Rate

₹6–10 LPA

Average Starting Salary

500+

Hiring Partners

3 Months

Average Job Timeline

Popular Job Roles

Python Web Developer

₹6–12 LPA

Django/Flask Developer

₹8–14 LPA

Full-Stack Developer

₹9–15 LPA

Backend API Developer

₹7–13 LPA

Success Stories

Success Stories from Our Python Web Development Graduates

Madhu Kumar

Python Developer @ Infosys

“The practical projects in Django helped me land my first job as a web developer within months.”

Meghana

Full-Stack Developer @ Deloitte

“Coming from a non-CS background, the structured Python Web Development course gave me industry-ready skills.”

Suresh Naik

Suresh Reddy

“The real-world projects and mentor guidance made me confident in building scalable web apps.”

Thousands of students achieved their dream job at

Amazon Google Microsoft Goldman Sachs PayPal Samsung Salesforce NetApp Hitachi JPMorgan IBM Dell Deloitte KPMG Mercedes-Benz EY

Class Schedule & Location

Flexible timings to fit your lifestyle

Batch Timings

Weekday Morning 9:00 AM - 12:00 PM
Weekday Evening 6:00 PM - 9:00 PM
Weekend Intensive Saturday & Sunday 10:00 AM - 5:00 PM

Course Duration

Full Program: 3 Months
Total Hours: 72+ Hours
Projects: 15+ Real Projects

Campus Location

ASTI Academy DWC - Hyderabad Branch Office

17-1-16/A, 6th-Floor Pinnacle Towers

Santosh Nagar, Saidabad

Hyderabad- 500059

High-Speed WiFi
Modern Lab Setup
Cafeteria & Break Areas
Free Parking

Frequently Asked Questions

Get answers to common questions about our program

Do I need prior programming knowledge for Python Web Development?

No, this course is beginner-friendly and covers basics step by step.

Which frameworks are covered in Python Web Development?

You’ll learn Django, Flask, and other popular web frameworks.

Will I build real projects in Python Web Development?

Yes, you’ll work on live web apps and industry-level projects.

Is there placement support after Python Web Development training?

Yes, we provide 100% placement assistance with leading companies.

Can working professionals join the Python Web Development course?

Yes, we offer flexible evening and weekend batches for professionals.

Ready to Transform Your Career?

Join thousands of successful students who chose Python Web Development training for accelerated learning

10,000+

Students Trained

95%

Job Placement

500+

Hiring Partners

Hurry! Only 12 seats left in next batch starting Monday

Let's Build Your Future Together

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