Diploma in Python


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Duration Of Class

Core Python : 20 hours
Advance Python: 40 hours
Web development with Python: 40 hours

Live project

Live project or live industry case study

Duration : 30 hours

Class Work Case Studies

During the training program, live case studies from the industry will be shared with student which will give the understanding of the industry.

Placement Policy

Placement support is a complimentory service provided to all Job oriented courses.

Expert Support

Support team available to help you with any technical queries you may have during the course.


Towards the end of the course, you will be working on a project. Techbodhi certifies you as a Python Developer based on the project.

Course Description

Python is a popular general purpose programming language used for both large and small-scale applications. Pythons wide-spread adoption is due in part to its large standard library, easy readability and support of multiple paradigms including functional, procedural and object-oriented programming styles. Python modules exist for interacting with a variety of databases making it an excellent choice for large-scale data analysis and the Python programming language is often the choice for introductory courses in data science and machine learning.
Tech Bodhi is managed by highly experienced professionals from the IT industry who has experience across Globe
Python is used by hundreds of thousands of programmers and is used in many places. Sometimes only Python code is used for a program, but most of the time it is used to do simple jobs while another programming language is used to do more complicated tasks.
This course can be taken by anyone who wants to be a Python programmer or wants to learn Python.
Any graduate with willingness to learn.


The system requirements include Minimum 4 GB RAM, i3 processor and above,500 GB HDD.
For your practical work techbodhi team will provide guidance.
Realtime industry case studies will be covered


Core and Advanced Python (Procedural and Object Oriented)

  • Getting Started?
  • Keywords & Identifiers
  • Statements & Comments
  • Python Variables
  • Python Data types
  • Python Type Conversion
  • Python I/O and Import
  • Python Operators
  • Python Namespace
  • Python if...else
  • Python for Loop
  • while Loop
  • break and continue
  • Pass Statement
  • Looping Technique
  • Python Function
  • Function Argument
  • Python Recursion
  • Anonymous Function
  • Python Global, Local and Nonlocal
  • Python Global Keyword
  • Python Modules
  • Python Package
  • Python Numbers
  • Python List
  • Python Tuple
  • Python String
  • Python Set
  • Python Dictionary
  • Python Nested Dictionary
  • Python Arrays
  • Python Matrix
  • List Comprehension
  • File Operation
  • Python Directory
  • Python Exception
  • Exception Handling
  • User-defined Exception
  • Python OOP
  • Python Class
  • Python Inheritance
  • Multiple Inheritance
  • Operator Overloading
  • Iterators
  • Generators
  • Closures
  • Decorators
  • @property

Web development with Python and Django framework

  • Django Setup
  • Django Project
  • Django Application
  • URL Mappings
  • Templates
  • Static Files
  • Django Models Overview
  • Creating Models
  • Population Scripts
  • Models-Templates-Views
  • Django Forms
  • Form Basics Code Along
  • Form Validation
  • Model Forms
  • Model Forms Exercise
  • Introduction to Django Level Four
  • Relative URLs with Templates
  • Relative URLs Coding Examples
  • URL Template Inheritance
  • Template Inheritance
  • Template Filters and Custom Filters
  • Django Passwords
  • User Models
  • User Models and Forms
  • Registration
  • Logins
  • Introduction of CBVs
  • Template Views with CBV
  • Detail View and List View Part One
  • CRUD Views - practical
  • Introduction to Admin
  • Admin Templates
  • Ordering Fields
  • Adding Search
  • Adding Filters
  • Adding Fields
  • Editable List View
  • Introduction to Debug Toolbar
  • Debug Toolbar Overview
  • Introduction to Django Deployment
  • Deploying to Heroku
  • Deploying to Amazon Web Services
  • Understanding on Git and Github
  • Setting up GitHub

Artificial intelligence and data science with Python

  • Environment Set-up and Installation
  • Jupyter Notebooks
  • Virtual Environments
  • Introduction to Numpy
  • Numpy Arrays
  • Numpy Array Indexing
  • Numpy Operations
  • Introduction to Pandas
  • Series
  • DataFrames
  • Missing Data
  • Groupby
  • Merging Joining and Concatenating
  • Operations
  • Data Input and Output
  • Introduction to Matplotlib
  • Matplotlib practical
  • Introduction to Seaborn
  • Distribution Plots
  • Categorical Plots
  • Matrix Plots
  • Grids
  • Regression Plots
  • Style and Color
  • Pandas Built-in Data Visualizatio
  • Pandas Data Visualization - Practcal
  • Introduction to Plotly and Cufflinks
  • Plotly and Cufflinks
  • Introduction to Machine Learning
  • Introduction to Machine - ISLR
  • Machine Learning with Python
  • Linear Regression
  • Linear Regression with Python
  • Logistic Regression Theory
  • Logistic Regression with Python

Natural Language Processing and Deep Learning Section!

  • KNN Theory
  • KNN with Python
  • Introduction to Tree Methods
  • Decision Trees and Random Forest with Python
  • Decision Trees and Random Forest in details
  • SVM Theory
  • Support Vector Machines with Python
  • K Means Algorithm Theory
  • K Means with Python
  • Principal Component Analysis
  • PCA with Python
  • Introduction to Recommender Systems
  • Recommender Systems with Python
  • Natural Language Processing Theory
  • NLP with Python
  • Neural Network Theory
  • What is TensorFlow?
  • Changes with TensorFlow
  • TensorFlow Installation
  • TensorFlow Basics
  • MNIST with Multi-Layer Perceptron
  • Natural Language Processing Theory
  • NLP with Python
  • TensorFlow with ContribLearn
  • Tensorflow Practical


Tech Bodhi Assures you do not miss any contents:
  • If You miss single or couple of sessions, Trainer will manager
  • If large number of sessions are missed, Center Head will provide the solution

Techbodhi is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. Placement Assistance is a complimentory service provided to job oriented courses

We can arrange a demo session on your request
All the trainers at Tech Bodhi are practitioners from the Industry with minimum 5-20 yrs of relevant IT experience. They are subject matter experts and are trained by Tech Bodhi for providing an learning experience.
You can give us a CALL at +91 9960295908 OR email atinfo@techbodhi.co.in


  • Once you are successfully through the exit test and project assignment (Reviewed by a Techbodhi’s expert), you will be awarded with Techbodhi’s diploma Certificate
  • Techbodhi’s certification has industry recognition and we are the preferred training partner for many MNCs. Names cannot be disclosed as per NDA