Full Stack Python Developer Course

Live Instructor-Led Classes with Project-Based Learning in Full Stack Python Developer Course

  • 6-Month Training
  • 2-Year LMS Access
  • A Dedicated Job Application Portal
A Certified Member of  nasscom_rc  hysea_rc  shrm_rc
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Course Highlights

Weekly Live Sessions

Doubt Clarification Sessions

Hands-on Coding Exercises

A Dedicated Success Coach

Master classes by Industry Experts

2-Year LMS access

Certificate of Accomp-lishment

Flexible EMI Options

500+ Hiring Organizations

Full Stack Python Developer 
Course Overview

Are you ready to master Python and build dynamic, full-stack web applications?

Our Full Stack Python Developer Course is a live, instructor-led program designed to equip you with the skills to become a proficient Python developer in just 6 months. You’ll learn to build full-stack web applications by mastering Python for back-end development along with popular frameworks like Django and Flask. On the front-end, you’ll dive into HTML, CSS, JavaScript, and modern libraries like React.js to create interactive and responsive user interfaces.

This course will guide you through database management using SQL and NoSQL technologies, as well as API development, authentication, and deploying applications on cloud platforms like AWS and Heroku. Through hands-on projects, you’ll gain real-world experience in building robust, scalable web applications from scratch.

Contact a career counselor today to check your eligibility and take the next step toward becoming a full-stack Python developer!

Career Services 
in a nutshell

Get ready for your dream job! Attend comprehensive industry readiness training with Career Services.

  • Communication and aptitude training
  • Mock interviews
  • 200+ jobs available on our placement portal
  • Workshops on workplace behaviour
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Learn workplace skills!

Your working style and behavior decide if you are a good cultural fit. Learn the right skills so you never feel out of place at work.

Sell your skills, and sell them well.

You are halfway there if you have a great resume and an optimized online presence. Work with our experts to build your professional profiles.

Attend mock interviews!

Get a grip on those pre-interview nerves. Test and practice your skills with mock interview sessions.

Full Stack Python Developer 
Course Syllabus

An industry-aligned curriculum to make you productive from day one – we update the curriculum every month to make sure you learn the most in-demand skills.

Introduction to Python
  1. Need for programming
  2. Advantages of programming
  3. Overview of python
  4. Organizations using python
  5. Python Applications in various domains
  6. Variables
  7. Operands and expressions
  8. Conditional statements
  9. Loops
  10. Structural pattern matching
Sequences and File Operations
  1. Accepting user input and eval function
  2. Files input/output functions
  3. Lists
  4. Tuples
  5. Strings manipulation
  6. Sets and set operations
  7. Python dictionary
Functions and Object-oriented Programming
  1. User-defined functions
  2. Function parameters
  3. Different types of arguments
  4. Global variables
  5. Global keyword
  6. Lambda functions
  7. Built-in functions
  8. Object-oriented concepts
  9. Public, protected and private attributes
  10. Class variable and instance variable
  11. Constructor and destructor
  12. Inheritance and its types
  13. Method resolution order
  14. Overloading and overriding
  15. Getter and setter methods
Working with Modules and Handling Exceptions
  1. Standard libraries
  2. Packages and import statements
  3. Reload function
  4. Creating a module
  5. Important modules in python
  6. Sys module
  7. OS module
  8. Math module
  9. Date-time module
  10. Random module
  11. JSON module
  12. Regular expression
  13. Exception handling
Array Manipulation using NumPy
  1. Basics of data analysis
  2. NumPy – Arrays
  3. Array operations
  4. Indexing, slicing, and Iterating
  5. NumPy array attributes
  6. Matrix product
  7. NumPy functions
  8. Array manipulation
  9. File handling using NumPy
Data Manipulation using Pandas
  1. Introduction to Pandas
  2. Data structures in Pandas
  3. Series
  4. Data Frames
  5. Importing and exporting files in Python
  6. Basic functionalities of a data object
  7. Merging of data objects
  8. Pivoting a dataframe
  9. Concatenation of data objects
  10. Types of joins on data objects
  11. Data cleaning using Pandas
  12. Exploring datasets
Data Visualization using Matplotlib and Seaborn
  1. Why data visualization?
  2. Matplotlib library
  3. Seaborn
  4. Line plots
  5. Multiline plots
  6. Bar plot
  7. Histogram
  8. Pie chart
  9. Scatter plot
  10. Boxplot
  11. Saving charts
  12. Customizing visualizations
  13. Saving plots
  14. Grids
  15. Subplots
  16. Heatmaps
GUI Programming
  1. Ipywidgets package
  2. Numeric widgets
  3. Boolean widgets
  4. Selection widgets
  5. String widgets
  6. Date picker
  7. Color picker
  8. Container widgets
  9. Creating a GUI application
Developing Web Maps and Representing Information using Plots (Self-paced)
  1. Use of Folium library
  2. Use of Pandas library
  3. Flow Chart of web map application
  4. Developing web map using Folium and Pandas
  5. Reading Information from titanic dataset and represent It using plots
Web Scraping and Computer Vision using OpenCV (Self-Paced)
  1. Beautiful Soup library
  2. Scrapy
  3. Requests library
  4. Scrap All hyperlinks from a webpage using Beautiful Soup and Requests
  5. Plotting charts using Bokeh
  6. Plotting scatterplots using Bokeh
  7. Image editing using OpenCV
  8. Face detection using OpenCV
  9. Motion detection and capturing video
Database Integration with Python (Self-Paced)
  1. Basics of database management
  2. Python MySql
  3. Create database
  4. Create a table
  5. Insert into table
  6. Select query
  7. Where clause
  8. OrderBy clause
  9. Delete query
  10. Drop table
  11. Update query
  12. Limit clause
  13. Join and Self-Join
  14. MongoDB (Unstructured)
  15. Insert_one query
  16. Insert_many query
  17. Update_one query
  18. Update_many query
  19. Create_index query
  20. Drop_index query
  21. Delete and drop collections
  22. Limit query

Tools and Technologies

Bootstrap
Css
Python-Logo
Html
pngwing.com (6)
flask
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2-Year LMS Access

Let us help you become an industry asset

Attend job readiness training along with your technical training.

Master Full Stack Python Development with

  • Live Online Classes
  • Doubt Clarification
  • Profile Building
  • Career Services
Get support every step of your way
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How do I enroll in this program?

Step 1

Apply

Step 2

Talk to A Counsellor

Step 3

Review Your Eligiblity

Step 4

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Full Stack Python Developer 
Course Fee

Option 1: One Time Payment

Course Fee

₹ 20,000

+ GST

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  • Early Bird Offer Up To ₹10,000
  • Offer only valid for the first 100 seats!
Reserve your seat at ₹ 6000 ( with GST )

Option 2: Pay In EMI

Pay In easy EMI

₹ 6,000 X 4 months

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