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Python Training
Master Python programming with hands-on training in core Python concepts, object-oriented programming, data structures, file handling, modules, APIs, automation, and real-time projects to build strong development skills.
Hands-on AI projects with industry-oriented training
Hands-on AI projects with industry-oriented training
Live Training
Instructor-led Online Training
Interactive live classes with expert trainers, practical learning,
LMS access, and cloud labs.
Live mentor sessions
Dedicated lab access
Weekend batches
Most popular
Self Paced
Recorded Video Training
Learn anytime with premium recorded sessions, downloadable study materials, and flexible access.
Unlimited recordings
LMS access included
Flexible learning
Flexible Access
Enterprise
Corporate Training
Team-oriented learning solutions with LMS integration, reporting, and enterprise support.
Team learning
Progress tracking
Dedicated support
Business Ready
Kasha Training
About The Course
Python is a high-level programming language well-suited for rapid application development. Its clear and straightforward syntax boosts code readability, simplifying maintenance and updates. As of March 2025, Python has claimed the top spot on the TIOBE Index of programming language popularity, surpassing C and Java.
Although it is commonly used for software development, Python has a remarkably wide range of applications — from data science to artificial intelligence (AI), machine learning (ML), automation, and analytics — making it one of the most popular languages today
Python Training covers the fundamentals of Python and how to apply it to real-world applications. The curriculum includes data operations, strings, conditional statements, error handling, shell scripting, web scraping, and popular web frameworks like Django. Advanced tracks cover Machine Learning, including supervised and unsupervised learning algorithms, regression, classification, and time series modeling.
Training programs are adapted to different levels — beginner courses for newcomers, advanced training for experienced developers, and specializations in data science, web development, AI, or process automation. Courses combine theory and practice with real-world case studies that allow immediate application of concepts.
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Benefits of Attending Python Training
- Globally Recognized Skill – Gain in-demand Python programming skills valued across multiple industries worldwide.
- Diverse Career Opportunities – Open pathways to careers in Web Development, Data Science, Artificial Intelligence, Machine Learning, and Automation.
- Beginner-Friendly Language – Learn one of the simplest and most readable programming languages, suitable for both beginners and professionals.
- High Salary Potential – Python developers are among the most sought-after professionals and command competitive salaries globally.
- Real-World Project Development – Build practical applications and industry-focused projects using Python’s powerful ecosystem.
- Enhanced Problem-Solving Skills – Strengthen logical thinking, analytical abilities, and programming fundamentals.
- Powerful Libraries & Frameworks – Gain hands-on experience with NumPy, Pandas, Django, Flask, TensorFlow, and other industry-standard tools.
- Certification Readiness – Prepare for globally recognized Python certifications and technical assessments.
- Automation Expertise – Learn to automate repetitive tasks, business processes, and workflows to improve productivity.
- Foundation for Emerging Technologies – Build a strong base for Data Analytics, Cloud Computing, DevOps, Cybersecurity, and AI technologies.
- Cross-Industry Applicability – Apply Python skills across finance, healthcare, e-commerce, education, manufacturing, and technology sectors.
- Open-Source Ecosystem Access – Leverage thousands of open-source libraries and community-supported resources.
- Rapid Development Capabilities – Create applications faster with Python’s simple syntax and extensive development tools.
- Strong Community Support – Benefit from one of the world’s largest developer communities and learning ecosystems.
- Interview Preparation & Career Support – Improve job readiness through coding practice, project work, and technical interview preparation.
Key Features of Python Training:
- Comprehensive curriculum covering Python basics to advanced concepts
- Hands-on, practical training with real-time projects and case studies
- Coverage of core topics: Data Types, Control Flow, Functions, OOPs, File Handling, and Exception Handling
- Training on popular Python frameworks and libraries — Django, Flask, Pandas, NumPy, Matplotlib
- Modules on Web Scraping, Automation, and Scripting using Python
- Introduction to Python for Data Science, Machine Learning, and AI applications
- Live interactive sessions with experienced industry professionals and certified trainers
- Flexible learning modes — Online, Offline, and Self-paced options available
- Regular assignments, quizzes, and assessments to track learning progress
- Interview preparation support, resume building, and job placement assistance
- Industry-recognized course completion certificate upon successful training
- Dedicated student support and doubt-clearing sessions throughout the course
Our Programs
Course Curriculum
1.Python Fundamentals & Enviornment Setup
Get started with Python development. Understand compilation vs. interpretation mechanics, set up the Anaconda distribution along with VS Code, manage core variables, data types, and implicit type conversion structures.
Introduction to Python: Features, Use Cases
Video · 0:00 - 25:00
How Python Executes Code: The Role of Interpreter and Bytecode
Video · Starts at 1:40
Guide: Installing Python, VS code and Managing Virtual Enviornments
Reading 15 min
Lab:Writing Your First Python Scripts , Variables and Formatting Inputs
Quiz 15 min
2.Control Flow, Loops & Data Structures
Master conditional logic and collection types. Work with if-elif-else statements, while/for loops, structural jump parameters (break/continue), and dive into native Lists, Tuples, Sets, and Dictionaries.
Conditional Logic and Control Flow Statements in Python
Video · 5 min
Loops Architecture: For, While, and Loop Jump Statements
Video · 5 min
Sequential Core Types: Lists, Slicing Operations, and Immutable Tuples
Video · 5 min
Key-Value Pairs & Hashing: Working with Sets and Dictionaries
Lab 60 min
Lab: Building an Automated Matrix Sorting and Inventory Calculator
Lab 60 min
3.Functions,Modules & Object-Oriented Python
Implement conditional execution and looping constructs. Understand structural loops, switch expressions, jump rules (break/continue), and scanner inputs.
Decision Making: If-Else Clusters & Nested Conditions
Video · 5 min
Enhanced Switch Statements (Java 14+ Features)
Video · 5 min
Loops: While, Do-While, and For loops compared
Video · 5 min
Lab: Multi-Tier Tax Computation Utility
Video · 5 min
4.File I/o Data Aunomation & Serialization
Persist script state context straight onto disk tracks. Learn context handlers (with statement), manage file streams (TXT, CSV, JSON), and implement automated document modifications..
File Streams: Opening, Reading, and Appending Flat Documents
Video · 5 min
Parsing Structured Text Formats: Working with CSV modules & Data Streams
Video · 5 min
Data Serialization: Parsing Nested Key Sets with the JSON Module
Video · 5 min
Lab: Building a Local Log Archiver using OS and Pathlib Extensions
Lab 75 min
5.DataBase Integration (SQLITE) & API Routing
Connect application layers smoothly. Execute parameterized SQLite queries to prevent SQL injections, map database records, and manage REST API query sets using light micro-routing structures..
Database Access: Managing SQLite Connections and Cursor Objects
Video · 5 min
Writing Parameterized Statements & Fetching Structured Results
Video · 5 min
Project: Developing a Local SQL-Backed Asset Management Console
Video · 5 min
6.Capstone Project — End-to-End Application Solution
Deploy a unified distributed terminal utility. Connect all modules together to build a portfolio-ready asset processing engine complete with local storage engines, exception loggers, and modular configurations.
Milestone 1 – Data Architecture Design & SQLite Database Mapping
Video · 5 min
Milestone 2 – Building the Object-Oriented App Processing Logic
Video · 5 min
Milestone 3 – Integrating File Streaming Exporters & Exception Logging
Video · 5 min
Milestone 4 – System Edge Diagnostics, Packaging, and Core Solutions Review
Project 120 min
12
Modules
76
Lessons
42h
Total Duration
14
Coding Labs
4
Projects
Our Programs
Feedback from our Participants
I finished my Python Certification training, which has supported me to enjoy the learning in a very understandable manner. The trainer covered core concepts, OOPs, and data structures with real coding practice throughout.
Aakash Verma
Python is popular because it is easy to learn, has a simple syntax, supports multiple programming paradigms, offers a large standard library, and has a strong community. It is widely used in web development, data science, machine learning, and automation.
The main features include:
- Easy to learn and use
- Interpreted language
- Object-oriented
- Platform independent
- Dynamically typed
- Open source
- Large standard library
- Supports multiple programming paradigms
A List is mutable, meaning its elements can be modified after creation. A Tuple is immutable, meaning its elements cannot be changed once it is created. Lists use square brackets [], while tuples use parentheses ().
Python handles exceptions using try, except, else, and finally blocks. This allows programs to manage runtime errors gracefully without terminating unexpectedly.
Modules and packages help organize code into reusable components. They make applications easier to maintain, reduce duplication, and allow developers to use functionality written by others.
Python provides simple syntax and powerful libraries for automating repetitive tasks such as file handling, web scraping, report generation, email automation, and system administration, which saves time and reduces manual effort.
I would first identify the requirements, create classes or functions to manage student information, use lists or dictionaries to store data, implement features such as adding, updating, deleting, and searching student records, test the application thoroughly, and, if required, connect it to a database for persistent storage.
I would use Python's built-in csv module or the pandas library. These tools make it easy to read, process, and analyze CSV data efficiently.
Python is popular because it is easy to learn, has a simple syntax, supports multiple programming paradigms, offers a large standard library, and has a strong community. It is widely used in web development, data science, machine learning, and automation.
The main features include:
- Easy to learn and use
- Interpreted language
- Object-oriented
- Platform independent
- Dynamically typed
- Open source
- Large standard library
- Supports multiple programming paradigms
A List is mutable, meaning its elements can be modified after creation. A Tuple is immutable, meaning its elements cannot be changed once it is created. Lists use square brackets [], while tuples use parentheses ().
Python handles exceptions using try, except, else, and finally blocks. This allows programs to manage runtime errors gracefully without terminating unexpectedly.
Modules and packages help organize code into reusable components. They make applications easier to maintain, reduce duplication, and allow developers to use functionality written by others.
Python provides simple syntax and powerful libraries for automating repetitive tasks such as file handling, web scraping, report generation, email automation, and system administration, which saves time and reduces manual effort.
I would first identify the requirements, create classes or functions to manage student information, use lists or dictionaries to store data, implement features such as adding, updating, deleting, and searching student records, test the application thoroughly, and, if required, connect it to a database for persistent storage.
I would use Python's built-in csv module or the pandas library. These tools make it easy to read, process, and analyze CSV data efficiently.
Our Programs