Python Fullstack Training

Get certified as a professional Python Fullstack Developer with Udeck Services. Learn frontend to backend development using Python, HTML, CSS, JavaScript, Django, and more—perfect for building dynamic web applications and starting a high-paying tech career.

Beginner 0(0 Ratings) 0 Students enrolled
Created by Udeck Services Last updated Thu, 10-Jul-2025 English
What will i learn?
  • Strong Foundation in Programming Logic
  • Job-Readiness for Fullstack Tech Roles
  • Ability to Build Real-World Python Projects
  • Proficiency in Popular Libraries and Frameworks
  • Certification & Interview Preparation

Curriculum for this course
201 Lessons 00:00:00 Hours
Duration
4 Lessons 00:00:00 Hours
  • Course Duration: 6 Months 00:00:00
  • Mode: Available in Offline & Online 00:00:00
  • Level: Beginner to Intermediate 00:00:00
  • Get 40% OFF by enrolling in the online training mode! 00:00:00
  • Introduction to Programming Languages 00:00:00
  • Introduction to Python 00:00:00
  • Working with Python Software 00:00:00
  • Python Language Fundamentals 00:00:00
  • Different Modes of working with Python 00:00:00
  • Basic I/O operations in Python 00:00:00
  • Operators and Expressions in Python 00:00:00
  • Data Types in Python 00:00:00
  • Flow Control Statements (or) Control Structures 00:00:00
  • String Handling Operations 00:00:00
  • Bytes, ByteArray and Range Data Types 00:00:00
  • List Data Structure and Operations 00:00:00
  • Tuple Data Structure and Operations 00:00:00
  • Set and Frozenset Data Structures or Collection 00:00:00
  • Dictionary Data Structures or collection 00:00:00
  • Comprehensions (List/Dictionary/Set) 00:00:00
  • NoneType Category 00:00:00
  • Functions in Python 00:00:00
  • Modules in Python 00:00:00
  • Packages in python 00:00:00
  • Exception Handling in Python 00:00:00
  • Regular Expressions (Re Module) 00:00:00
  • File or Stream Handling 00:00:00
  • Collections module for building applications 00:00:00
  • Object Oriented Programming Principles 00:00:00
  • OS Module 00:00:00
  • Multi Threading 00:00:00
  • Python Logging 00:00:00
  • Date and Time module 00:00:00
  • Garbage Collection 00:00:00
  • Python Data Base Communications (PDBC) 00:00:00
  • Network / Socket Programming (socket module) 00:00:00
  • Tkinter and Turtle 00:00:00
  • Basic Introduction to the Numpy 00:00:00
  • Creation of Numpy Arrays 00:00:00
  • Array attributes & Numpy Data Types 00:00:00
  • View vs Copy 00:00:00
  • Indexing, Slicing and Advanced Indexing 00:00:00
  • How to Iterate Elements of the ndarray. 00:00:00
  • Arithmetic Operators 00:00:00
  • Broadcasting 00:00:00
  • Array Manipulation Functions 00:00:00
  • Joining Of Multiple Arrays Into a Single Array 00:00:00
  • Splitting of Arrays 00:00:00
  • Sorting Elements of ndarrays 00:00:00
  • Searching elemenets of ndarray 00:00:00
  • How to insert elements into ndarray? 00:00:00
  • How to delete elements from ndarray 00:00:00
  • Matric multiplication by using dot() function 00:00:00
  • Importance of matrix class in numpy library 00:00:00
  • Linear algebra functions from linalg module 00:00:00
  • I/0 operations with Numpy 00:00:00
  • Basic statistics with Numpy 00:00:00
  • Numpy mathematical functions 00:00:00
  • How to find unique items and count 00:00:00
  • Introduction 00:00:00
  • Environment Setup 00:00:00
  • Introduction to Data Structures 00:00:00
  • Series 00:00:00
  • DataFrame 00:00:00
  • Panel 00:00:00
  • Basic Functionality 00:00:00
  • Descriptive Statistics 00:00:00
  • Function Application 00:00:00
  • Reindexing 00:00:00
  • Iteration 00:00:00
  • Sorting 00:00:00
  • Working with Text Data 00:00:00
  • Options and Customization 00:00:00
  • Indexing and Selecting Data 00:00:00
  • Statistical Functions 00:00:00
  • Window Functions 00:00:00
  • Aggregations 00:00:00
  • Missing Data 00:00:00
  • GroupBy 00:00:00
  • GroupBy 00:00:00
  • Merging/Joining 00:00:00
  • Concatenation 00:00:00
  • Date Functionality 00:00:00
  • Timedelta 00:00:00
  • Categorical Data 00:00:00
  • Visualization 00:00:00
  • IO Tools 00:00:00
  • Sparse Data 00:00:00
  • Caveats & Gotchas 00:00:00
  • Comparison with SQL 00:00:00
  • Introduction to Matplotlib 00:00:00
  • Line Plot- Basics 00:00:00
  • Line Plots-Advanced 00:00:00
  • How to add grid lines to plot 00:00:00
  • Adding Legend 00:00:00
  • Customization of Tick Location and Labels 00:00:00
  • How to set limit range of values on x-axis and y-axis by using xlim() and ylim() functions 00:00:00
  • How to set scale of x-axis and y-axis? 00:00:00
  • Plotting Styles 00:00:00
  • Functional/Procedural Oriented Vs Object Oriented Approached of plotting 00:00:00
  • Bar Chart / Bar Graph / Bar Plot 00:00:00
  • Pie Chart 00:00:00
  • Histogram 00:00:00
  • Scatter Plots 00:00:00
  • Subplots 00:00:00
  • Plotting Geographic Data with Basemap 00:00:00
  • Three-Dimensional(3-D) Plotting in Matplotlib 00:00:00
  • Animations 00:00:00
  • Web Introduction 00:00:00
  • Introduction to HTML 00:00:00
  • Introduction to HTML Structure 00:00:00
  • Presentational & Formatting Tags 00:00:00
  • Title and Html entities 00:00:00
  • Attributes 00:00:00
  • HTML Images & Anchor Tag 00:00:00
  • Working with Lists 00:00:00
  • Working with Div tag 00:00:00
  • HTML Tables 00:00:00
  • HTML Forms 00:00:00
  • HTML Form Controls 00:00:00
  • Additional from controls 00:00:00
  • HTML5 New Semantic / Structural Elements 00:00:00
  • Introduction to CSS 00:00:00
  • CSS Selectors 00:00:00
  • CSS Box model 00:00:00
  • Styling Elements 00:00:00
  • Advanced Cascading Style Sheets 00:00:00
  • Introduction JavaScript 00:00:00
  • JavaScript implementations 00:00:00
  • JavaScript Variables & datatypes 00:00:00
  • JavaScript Operators 00:00:00
  • JavaScript Control Controls 00:00:00
  • Arrays 00:00:00
  • Functions 00:00:00
  • Functional Expressions 00:00:00
  • Arrow Functions 00:00:00
  • JavaScript Strings 00:00:00
  • Working with JS Objects 00:00:00
  • JS Constructors 00:00:00
  • DOM-Document object 00:00:00
  • DOM-Element object 00:00:00
  • DOM-Event Handling 00:00:00
  • BOM-Window object 00:00:00
  • Javascript validations and Regular Expressions 00:00:00
  • Bootstrap 00:00:00
  • Introduction to Django 00:00:00
  • Django & Atom Installation and Development of First Web Application 00:00:00
  • Templates and Static Files 00:00:00
  • Views and URLs 00:00:00
  • Models and Databases 00:00:00
  • Forms and Validation 00:00:00
  • Advanced Template Features 00:00:00
  • Session Management 00:00:00
  • User Authentication and Authorization 00:00:00
  • Class Based Views and CRUD Operations by using both CBVs and FBVs 00:00:00
  • Django ORM 00:00:00
  • Working with Advanced Model Concepts 00:00:00
  • Django Rest Framework 00:00:00
  • Testing and Debugging 00:00:00
  • Caching and Performance Optimization 00:00:00
  • Django Forms Advanced Topics 00:00:00
  • Django Security 00:00:00
  • Django Signals and Asynchronous Tasks 00:00:00
  • Django Deployment and Production 00:00:00
  • WebSockets and Real-Time Communication 00:00:00
  • Project Development and Refinement 00:00:00
  • Introduction to Flask 00:00:00
  • Building Web Applications with Flask 00:00:00
  • Web Forms and User Input 00:00:00
  • Databases and Data Storage 00:00:00
  • User Authentication and Authorization 00:00:00
  • RESTful APIs 00:00:00
  • Deployment and Scaling 00:00:00
  • Advanced Topics 00:00:00
  • MySQL 00:00:00
  • MongoDB 00:00:00
  • AWS Basics 00:00:00
  • Version Control-GIT 00:00:00
  • Docker 00:00:00
  • Kubernetes 00:00:00
  • Introduction To Web Technologies 00:00:00
  • Typescript Deep Dive-Type Script Architecture 00:00:00
  • Introduction To Angular 00:00:00
  • Setting Up Environment For Angular 00:00:00
  • Angular Architecture 00:00:00
  • introduction to components 00:00:00
  • Angular Pipes 00:00:00
  • Angular Services 00:00:00
  • Angular Forms 00:00:00
  • Observables&Rxjs 00:00:00
  • NG Modules 00:00:00
  • Dependency Injection 00:00:00
  • Httpclient 00:00:00
  • Routing & Navigation 00:00:00
  • Angular Animations 00:00:00
  • Angular Materials 00:00:00
  • Unit Testing In Angular 00:00:00
  • Advanced Topics 00:00:00
  • Revision and Doubt Clearing 00:00:00
  • Mock Test & Interview Questions Discussion 00:00:00
  • Build a Student Management System or an Online Job Portal web app with login-based access, full CRUD operations, job postings, and admin panel using Python (Flask/Django), database integration, and a responsive frontend. 00:00:00
Requirements
  • A Laptop or Desktop
  • Basic Computer Knowledge
  • No prior coding experience is required
  • Willingness to Learn and Practice Everyday
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Description

Python Fullstack Training, powered by Udeck Services, is designed to turn you into a job-ready Python developer by teaching you both frontend and backend technologies.

Python is one of the most in-demand and highest-paying programming languages in the world. Our course takes you beyond basic syntax and helps you master end-to-end web development using modern tools and frameworks like HTML, CSS, JavaScript, Bootstrap, Python, Django, REST APIs, MySQL, and more.

Whether you're a student, graduate, job seeker, or career switcher from a non-tech background, our expert mentors, live projects, and personalized guidance will help you build full-fledged web applications and prepare for real-world challenges in the tech industry.

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  • 36 Courses
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Includes:
  • 00:00:00 Hours On demand videos
  • 201 Lessons
  • Access on mobile and tv
  • Full lifetime access

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