Python Full Stack with AI & ML Training in Hyderabad

Python Full Stack with AI & ML Training

Master Full-Stack Python Development in Hyderabad!
Looking for Python training in Hyderabad or a Python coaching institute near you? Our comprehensive Full Stack Python Development course offers an immersive learning experience designed to make you a web development pro.
Learn in-demand skills to build modern, scalable web applications. Gain a thorough understanding of essential Python concepts, frameworks, and tools through a blend of interactive modules and hands-on exercises.
Our program covers the entire development lifecycle, from conceptualization and design to coding, deployment, and maintenance.
Choose between online training for ultimate flexibility or classroom training for a more interactive experience.
Enroll today and launch your career in web development!

Course Duration

150 Days

Training Options

Onsite / Online

Rating

Why Should You Take Python Full Stack Development Training In Hyderabad?

Python Development is in demand.

Python programming is rated as one of the happiest professions.

Python Development has a great career path.

Instructor-led Python Full Stack Live Classes

Course	Date	Timings	Duration	Trainer
Python Full-Stack Developer with AI & ML	27-May-2025	11:30 AM - 01:00 PM	5 Months	Mr .Pratap

Course Price at

INR 25,000/-

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About Course

Python is the most popular and highly advanced programming language that is available as open source. It is employed in task automation, data analysis coordination, and the development of software and websites. Because it can be used to develop sophisticated and important applications, Python is the main language used in machine learning, data science, and artificial intelligence. Both novices and seasoned experts hoping to hone their programming abilities for a high-paying position might benefit from the Python training offered in Hyderabad.

Anyone who wants to develop a strong programming portfolio can enrol in our comprehensive course training, which covers all programming principles such as sequences, deep dive functions, file operations, object-oriented programming, NumPy, pandas, matplotlib, developing web maps, etc. With courses designed by accomplished experts with expertise of the industry, Qedgetech provides the best Python training in Hyderabad. You will gain practical experience and proficiency by handling and managing a project with the help of our project-based training.

Become a Full-Stack Python Developer in Hyderabad!

Master the in-demand skills to build modern web applications with our comprehensive Full-Stack Python Development course! This course dives deep into the entire development stack, equipping you with expertise in:

Front-End Frameworks: Flask or Django
Back-End Development: Python with MySQL or MongoDB databases
Client-Side Technologies: HTML, CSS, and JavaScript

Learn by Doing: Our engaging curriculum combines lectures, hands-on coding exercises, and real-world projects. You’ll gain practical skills in:

Full-Stack Architecture: Understand how all the pieces fit together.
Python Programming: Become proficient in this versatile language.
Web Development Frameworks: Build dynamic user interfaces with Flask or Django.
Databases: Master back-end development using popular databases like MySQL or MongoDB.
RESTful APIs: Integrate seamlessly with other applications.
User Authentication & Security: Implement secure logins and protect your applications.
Deployment Strategies: Launch your web apps to the world!

Course Prerequisites:

Basic understanding of programming concepts (Python preferred)
Familiarity with web technologies (HTML, CSS, JavaScript)
Database concepts are a plus!

About Trainer

8+ years of Real-time Experience in Python & Web Technologies
Certified Python Consultant
Experience in blend of Real-time Projects & Training’s

Training Options

Onsite Training

INR 25,000/-

Effective Training by Industry Experts
High-End Training Infrastructure
Limited Students per batch
Personalized & Focused Learning methodology
Study Materials, Videos and Tests through LMS App
Assignments assessment and assurance
Training Certification, Resume & Placement Support

Online Training

INR 25,000/-

Smartboard & Live Video Streaming Environment
Effective Training by Industry Experts
Limited Students per batch
Assignments assessment and assurance
Study Materials, Videos and Tests through LMS App
Earn a Global Certificate
Online Training Certification, Resume & Placement Support

Video Based Learning

INR 25,000/-

High Quality Training Videos by Industry Experts
Learn at your convenient time
Videos Access
Free Upgrade & Support
Study Material and Tests access through LMS
Earn a Global Certificate
Self Paced Certification, Resume & Placement Support

Skills Covered

Python Full Stack with AI & ML Curriculum

Python

Module 2: Introduction

How is Python? (History)
What is Python?
Why is Python?
Where is Python?

Module 3: Development Setup

Install Python
Install Git (Django)
Install PyCharm (Django)
Create GitHub repository (Django)
Virtual Environment Setup

Module 4: Variables and Datatype

Python Fundamentals (***)
Variables
Data types: String, Integer, Boolean, Float
None Type
Operators (***)
Data Structure: List, Dictionary, Tuple, Array, Set

Module 5: Statement

Conditional Statement
Looping Statement
Nested Loop
Control Looping
Break and Continue, pass(**)

Module 6: Numbers & Arrays in Python (***)

Numbers (math-module & random-module)***
Array-module(***)

Module 7: Collections (Data-Structures) in Python (***)

String in Python***
List in Python***
Tuple in Python***
Set in Python***
FrozenSet in Python***
Dictionary in Python***

Module 8: User Defined Function

Types of Functions (Function with/without Parameter and/or return value)
Unnamed and Named Parameters
Create User Defined Function
Anonymous Lambda Function

Module 9: Date & Time in Python (***)

Time module(***)
Calendar module(***)
Datetime module(***)

Module 10: Modules & Packages (***)

User-defined Modules(***)
User-defined Packages(***)

Module 11: Generator and Decorator

Iterator
Generator
Nested Function
Decorator

Module 12: OOPs with Python (***)

What is OOPs
OOPs implemented in Python
Inheritance and Polymorphism
Operator and Method overriding
Create Class and Core Python Object
Class Attributes
OOPS Abstraction(***)
Abstract classes & Interfaces(***)
Constructors & Destructors(***)
Garbage Collection(***)
Polymorphism Ducktyping(***)
Operator Overloading with magic-methods(***)
Inheritance super() method(***)
Inner-classes(***)
Types of Variables & Methods in Python class(***)
self (sp-variable in Python class)***

Module 13: Exception Handling and Built in Functions

Basic Exception Handling
..Except…Else…Finally
Debugging Errors
Built in functions: String Related Functions, Integer Related Functions, Data Structure Related Functions, Common Functions
Built in Modules: OS related Module, Mathematical Modules

Module 14: File Systems and File Handling

Write to a File
Read from a File
Check File and Copy File
Pickle Module
Working with Directories

Module 15: Threading and Multithreading

What is threading
What is Multithreading?
Different ways of Creating Threads
Thread Synchronization
Locks and Semaphores
Thread Communication

Module 16: Data Operations using Python (PDBC)***

Create a database
Working with MySQL Database or Oracle Database
Python Database connection
PDBC Steps
PDBC Modules & its Methods
Create a tables
CRUD operations – Create, Read, Update, Delete

Module 17: Regular Expressions

Regular Expression Module
Regular Expression Methods
Quantifiers
Special Characters

Module 18: Python Web Frameworks

What is Framework?
Full stack Framework
Django Overview
MVT Architecture of Django

Module 19: Django Web Application Development

Introduction to Web development and Django
Django & PyCharm IDE Installation and
Development of First Web Application
Working with PyCharm IDE
Downloading, Installation, First-Project in IDE

Module 20: Django HTML

Django Templates and Static Files

Module 21: Django Model classes (Database)

Working with Models and Databases

Module 22: Django Forms & Validations

Working with Django Forms
Working with Django Model Forms
Working with Advanced Template Features

Module 23: Django Sessions & User Auths

Session Management
User Authentication and Authorization

Module 24: Django CRUD Operations

Class Based Views and CRUD Operations by using both CBVs and FBVs

Module 25: Django ORM (Object Relation Mapping)

Django ORM (MYSQL Database or SQLite3 or Oracle DB)
Working with Advanced Model Concepts

Module 26: Django Middleware & Live Project Development

Working with Django Middleware
Deployment of our application in the Live Environment
Real Time Project: Web Application Development

Module 27: Django Admin and Views

Overview of default Django Admin site
Add models on Admin Page
User Permissions and Groups
Overview of Django Views

Data Analytics & Visualization

Module 28: Data Analysis – NumPy (Data science)

Introduction to Numpy
Numpy Arrays
Numpy Array Indexing
Numpy Operations
Numpy Exercises

Module 29: Data Analysis – Pandas (Data science)

Introduction to Pandas
Series
DataFrames
Missing data and Groupby
Merginig Joining and Concatenation
Operations
Data Input and Output
Pandas Exercises

Module 30: Data Visualization – Matplotlib (Data science)

Introduction to Data Visualization
Introduction to Matplotlib
Matplotlib plots Methods – Functional and Object Oriented
Subplots
Matplotlib Excercises

Module 31: Data science Scikit/ SciPy

Working with Scikit or SciPy modules

Python with AI & Machine Learning

Module 32: Statistics & Math for Machine Learning

Descriptive statistics
Probability theory
Linear algebra basics
Calculus (derivatives, gradients)
Correlation and covariance
Hypothesis testing

Module 33: Introduction to Machine Learning

What is ML? Types of ML (Supervised, Unsupervised, Reinforcement)
AI vs ML vs DL
Scikit-learn basics
ML workflow:
- Data preprocessing
- Model selection
- Training and testing
- Evaluation metrics (accuracy, precision, recall, F1)

Module 34: Supervised Learning

Linear Regression
Logistic Regression
Decision Trees
Random Forest
K-Nearest Neighbors (KNN)
Support Vector Machines (SVM)
Naive Bayes
Evaluation techniques (cross-validation, confusion matrix)

Module 35: Unsupervised Learning

K-Means Clustering
Hierarchical Clustering
DBSCAN
Principal Component Analysis (PCA)
Dimensionality Reduction techniques

Module 36: Deep Learning with Python

Introduction to Neural Networks
TensorFlow and Keras basics
Building and training neural networks
Activation functions
Overfitting and Regularization
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)

Module 37: Natural Language Processing (NLP)

Text preprocessing (tokenization, stopwords, stemming)
TF-IDF, Bag-of-Words
Sentiment Analysis
Word Embeddings (Word2Vec, GloVe)
Transformers and BERT (introductory)

Module 38: Real-World Projects

House Price Prediction (Regression)
Customer Segmentation (Clustering)
Spam Detection (Classification)
Image Classifier (CNN)
Chatbot using NLP

Module 39: Tools & Best Practices

Version Control (Git, GitHub)
Model deployment basics (Flask, Streamlit)
Using pre-trained models
Introduction to AutoML and ML pipelines

UI Web Technologies

UI & Web Technologies

What is web?
What is network?
What is internet?
What is web-development?
What is browser?
What is web-server?
What is http?
What is the use of http?
What is html?
What is website?
What is web-page?
Structure of Web
Definition of all the points
Install of Editors
How to write program using editors

HTML-5

Introduction
Structure of html
What is tag?
Types of tags
Attributes
All tag attributes
How to apply all the attributes in web-pages

Table

How to create table in Html
Attributes of table

List

How to create list
Attributes of list

Form

What is form
How to create forms using html
How to create log-in page
How to create registration page using form.
Attributes of form

CSS-3

Introduction

What is css?
What is the use of css?
Types of css
How to call css inside html pages

Selectors

What is selector?
Types of selectors
How to apply selector

Combinators

What is combinators?
Types of combinators
How it is related to selectors

Pseudo-class & Pseudo-elements

What is pseudo-class?
What are pseudo-elements
Types of pseudo-class
Types of pseudo-elements

JavaScript

Introduction

What is JavaScript?
What is the difference between java &JavaScript
Application of JavaScript
Advantages & Disadvantages of JavaScript
Types of JavaScript
Datatypes in JavaScript
Looping Statement
Conditional Statement

Function & Arrays

What is function?
What is array?
Types of function
Methods of array

String & Object

What is string?
Methods of string
What is object?
How to create object in js

Date & Math

What is date method?
What is math method?
Methods of date & math

jquery

introduction
jquery selector
jquery event methods
hide and show effects
fade elements in and out of visibilty
sliding effects in jquery

Bootstrap

why we use bootstap
bootstrap enverionment setup
bootstrap grid system
bootstrap css overview
bootstrap tables
bootstrap forms
bootstap responsive

React JS

React Introduction

Overview of frameworks, libraries for client-side Web applications
React introduction
Environment Setup for React Application
Understanding NPM commands
VS Code extensions for ES6, React

React Essential Features and Syntax

React App Project Directory Structure
Overview of Webpack, Babel
React Component Basic
Create React Component
Understanding JSX
Limitations of JSX
Working with Components and Reusing Components

React Components, Props and State

Understanding and using Props and State
Handling Events with methods
Manipulating the State
Two way data-binding
Functional (Stateless) VS Class (Stateful) Components
Parent – Child Communication
Dynamically rendering contents
Showing Lists, List and keys

Styling Components

CSS Styling
Scoping Styles using Inline Styles
Limitations of inline styes
Inline Styles with Radium
Using Psuedo classes/media quries with inline styles
CSS Modules, importing css classes
Adding Bootstrap, Semantic UI to React apps
Using react-bootstrap, reactstrap packages

Debugging React Apps

Understanding React Error Messages
Handling Logical Errors,
Debugging React apps using google developer tools and React DevTool
Understanding Error Boundaries

React Component life cycle

Updating life cycle hooks
PureComponents
React’s DOM Updating Strategy
Returning adjacent elements
Fragments

React Component in Details

Higher Order Components
Passing unknown Props
Validating Props
Using References
React Context API
Updated LifeCycle hooks (16.3)
Best practices for React Projects
Demo apps

HTTP Requests/Ajax Calls

HTTP Requests in React
Introduction of Axios package
HTTP GET Request, fetching & transforming data
HTTP POST, DELETE, UPDATE
Handing Errors
Adding/Removing Interceptors
Creating/Using Axios intances

React Routing

Routing and SPAs
Setting Up the Router Package
react-router vs react-router-dom
Preparing the Project For Routing
Switching Between Pages, Routing-Related Props
The “withRouter” HOC & Route Props
Passing & extracting route/query parameters
Using Switch to Load a Single Route
Navigating Programmatically

React Forms and Form Validation

Creating a Custom Dynamic Input Component
Setting Up a JS Config for the Form
Dynamically Create Inputs based on JS Config
Adding a Dropdown Component
Handling User Input
Handling Form Submission
Adding Custom Form Validation
Fixing a Common Validation
Adding Validation Feedback
Showing Error Messages
Handling Overall Form Validity

Deploying React App to the Web

Testing React apps with JEST

Database

Introduction to DBMS

What is SQL?
MySql Installation
Sub Languages of SQL
Creation of Database
Data types in Sql server
Creation of a Table
add a new column to a table
change column in a table
Delete column and table in sql
select query in sql
Insert Data to the Table
Update data into the Table
Delete data from the table
Primary key in Sql
Foreign Key in SQL
Contraints for data in Database
Where Clause in SQL
Aggregate Functions in SQL
Joins in SQL
Inner join in SQL
Left join in sql
Right join in sql
Full outer join in sql
Self Join in SQL
Order By clause in SQL
Group By Clause in SQL
Having Clause in SQL
Rank Function in SQL
Union and Intersection in SQL
Subqueries in SQL
Co-related Subqueries

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Java Full Stack Developer Course

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Reviews

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Frequently Asked Questions

What does a Python full-stack developer do?

A full stack Python developer uses the Python programming language for the development of the entire technology stack of a web application. Python is a computer programming language that has become one of the more popular for application development.

What is Duration of Python Full Stack Development and Data Analysis and Visualization?

Python full-stack developer is 150 days duration.

What is covered in the Full-Stack Python Development Course?

This comprehensive course equips you with the skills to build modern web applications using Python and popular frameworks like Flask or Django. You’ll learn front-end development with HTML, CSS, and JavaScript, along with back-end development using databases like MySQL or MongoDB. We’ll also cover essential topics like API development, user authentication, security best practices, and deployment strategies.

Is this course suitable for beginners?

While a basic understanding of programming concepts (preferably Python) is helpful, this course is designed to be accessible for those with some technical background. We’ll provide a solid foundation in Python and guide you through the development process step-by-step.

What are the benefits of learning Full-Stack Python Development?

Python is one of the most in-demand programming languages globally. Mastering full-stack development allows you to build web applications from scratch, opening doors to exciting career opportunities in web development.

Do I need prior experience with Flask or Django?

No prior experience with Flask or Django is necessary. Our course will introduce you to these popular frameworks and provide hands-on exercises to solidify your understanding.

What are the career prospects after completing this course?

Upon completion, you’ll be equipped with the skills and knowledge to pursue careers as a Full-Stack Developer, Web Developer, or Python Developer. The demand for these roles is high, with competitive salaries and excellent job growth.

Is the course theoretical or practical?

Our training will be a blend of theoretical and practical work on each topic. We also provide live exposure on projects and give assignments to improve your skill set.

Do you provide project with training?

Yes , Website Project using Python django and Data Capstone Project using Data analysis and Visualization

Will I get certification?

After completion of training, you will receive a certificate of completion, which you can share with your friends, relatives, co-workers and potential employers.

Will I get Course Materials?

Yes, you’ll be able to access your enrolled course materials through our Learning Management System. Practical Assignments, Day-to-Day Class videos and readings you can access through our LMS App.

Be Future Ready. Enroll Now

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