Python Training Institute in Nagawara

python training Institute in Nagawara

Python Training Institute in Nagawara is the right choice for students, freshers, and working professionals who want to learn Python programming with practical training, live projects, and certification.

Online/Offline

Mode

1 - 2 Months

Duration

5+Live

Real time projects

Industry Recognized

Certification

About python Courses

. Looking for a trusted python training institute in Nagawara to enhance your programming skills and career prospects? Fast Learning Technologies offers comprehensive Python training designed for students, freshers, and working professionals. Our training focuses on practical learning, real-time projects, and industry-ready skills to help you excel in Python programming, automation, web development, and data handling.

Nagawara is a rapidly developing tech and educational hub in Bengaluru, close to Manyata Tech Park, Hebbal, Thanisandra, HBR Layout, Hennur, Kalyan Nagar, and RT Nagar. Being part of this ecosystem allows learners to access high-quality training conveniently while staying connected to major IT and startup centers.

At Fast Learning Technologies, our Python courses are structured for beginners as well as experienced professionals. From basics to advanced topics like automation, object-oriented programming, web frameworks, and project deployment, our Python training ensures you gain skills relevant to real-world applications.

Why Choose fast learning technologies?

1. Practical and Hands-On Learning

We focus on building Python skills that are immediately applicable through exercises, projects, and real-world scenarios.

2. Experienced Trainers

Our trainers simplify complex concepts with clear explanations, guiding beginners and professionals alike to mastery.

3. Local Advantage in Nagawara

Located near Manyata Tech Park, Hebbal, HBR Layout, Thanisandra, and RT Nagar, our institute is easily accessible for learners from multiple tech hubs in Bengaluru.

Our Alumni's Are Placed At

Course Curriculum

Core Python Syllabus

1. Introduction to Python

What can Python do?
Why Python?
Good to know before learning Python
Python syntax compared to other programming languages
Python installation and setup

2. Beginning Python Basics

The print() statement
Comments in Python
Python data types
Python data structures overview
String operations in Python
Simple input and output
Simple output formatting
Operators in Python

3. Python Program Flow

Indentation in Python
while loop
for loop
range() statement
break and continue
assert statement
Looping examples and exercises

4. Functions and Modules

Creating your own functions
Function parameters
Default parameters
Variable arguments
Scope of a function
Function documentation
Lambda functions
map() function
Exercises with functions
Creating a module
Standard modules in Python

5. Errors and Exception Handling

Types of errors
Exception handling using try
Handling multiple exceptions
Writing your own exceptions
Custom exception classes

6. File Handling

File handling modes
Reading files
Writing files
Appending data to files
Handling file exceptions
The with statement

7. Classes in Python

Introduction to classes
New-style classes
Creating classes
Objects and instances
Instance methods
Inheritance
Polymorphism
Exception classes
Custom exceptions using classes

8. Generators and Iterators

Iterators
Generators
any() and all() functions
The with statement
Data compression basics

9. Advanced Data Structures

List comprehensions
Nested list comprehensions
Dictionary comprehensions
Specialized sorting
Functions with data structures
Default parameters
Variable arguments

10. Collections Module

- namedtuple()
- deque
- ChainMap
- Counter
- OrderedDict
- defaultdict
- UserDict
- UserList

Advance Python

11. Advanced Python Topics

filter()
map()
reduce()
Decorators
Frozen set
Collections overview

12. Regular Expressions

Introduction to regular expressions
split()
Working with special characters
Working with dates
Working with emails
Quantifiers
match()
findall()

13. Date and Time

Introduction to date and time
sleep()
Program execution time
Common date and time methods
Working with dates in Python

14. GUI Programming with Tkinter

Introduction to Tkinter
Components and events
Example GUI program
The root component
Adding a button
Entry widgets
Text widgets
Check buttons

15. Python SQL Database Access

Introduction to database access
Database installation/setup
Database connection
Creating a database table
INSERT operation
READ operation
UPDATE operation
DELETE operation
COMMIT operation
ROLLBACK operation

16. Network Programming

Introduction to network programming
Clients and servers
Daytime server
Client program
Basic socket programming concept

17. Practice and Projects

Looping practice programs
Function-based exercises
File handling mini projects
OOP-based programs
Database CRUD project
Tkinter mini project
Regular expression practice examples

Hands-On Projects to Strengthen Your Portfolio

AI-Based Voice Assistant Application (Domain: Artificial Intelligence)

Tools Used: Python, SpeechRecognition, NLP, Tkinter Develop an intelligent voice assistant that performs tasks like opening applications, searching information, sending emails, and responding to voice commands using AI techniques.

Advanced File Encryption and Secure Storage System (Domain: Cybersecurity)

Tools Used: Python, Cryptography Library, SQLite Build a secure application to encrypt, decrypt, and manage confidential files with password authentication and secure data storage mechanisms.

Real-Time Chat Application with Multi-User Support (Domain: Networking & Communication)

Tools Used: Python, Socket Programming, Tkinter Create a real-time messaging application that supports multiple users, private chats, file sharing, and client-server communication.

Automated Attendance Management System using Face Recognition (Domain: AI & Computer Vision)

Tools Used: Python, OpenCV, Machine Learning, MySQL Develop a smart attendance system that identifies users through facial recognition and stores attendance records automatically in a database.

Online Examination and Result Management System (Domain: Education Technology)

Tools Used: Python, Django, MySQL Build a complete web-based examination platform with student login, online tests, automated result calculation, and performance analytics dashboards.

AI-Based Resume Analyzer and Job Recommendation System (Domain: IT Recruitment)

Tools Used: Python, NLP, Flask, SQL Create an intelligent application that analyzes resumes, extracts skills, compares job descriptions, and recommends suitable IT job opportunities.

Stock Market Prediction and Portfolio Tracker (Domain: Finance & Trading)

Tools Used: Python, Machine Learning, APIs, Pandas Develop a stock analysis application that predicts market trends, tracks investments, visualizes stock performance, and provides financial insights.

Cloud File Backup and Synchronization Tool (Domain: Cloud Computing)

Tools Used: Python, AWS S3, Tkinter Build a cloud-based backup application that automatically uploads, syncs, and restores files securely across systems using AWS cloud services.

Smart Inventory and Billing Management Software (Domain: Retail Management)

Tools Used: Python, MySQL, Tkinter Develop a complete inventory management solution with billing, stock tracking, invoice generation, customer records, and sales analytics.

AI-Based Fake News Detection and Content Verification System (Domain: Media & AI)

Tools Used: Python, Machine Learning, NLP, Flask Create a machine learning application that detects fake news articles, analyzes content credibility, and classifies suspicious online information automatically.

Trainer profile

Course batch schedule

Date	Course	Batch	Timings
18 May	Python	New Batch	8 AM - 9 AM
18 May	SQL	New Batch	6 PM - 7 PM
21 May	Excel	New Batch	9 AM - 10 AM
21 May	Power BI	New Batch	2 PM - 3 PM
23 May	AWS	New Batch	5 PM - 6 PM
23 May	Frontend	New Batch	10 AM - 11 AM
27 May	Linux	New Batch	4 PM - 5 PM
30 May	Data Science	New Batch	8 AM - 9 AM
30 May	Machine Learning	New Batch	5 PM - 6 PM
03 Jun	AI	New Batch	8 AM - 9 AM

Get Certified & Prove Your Industry Readiness

All major global multinational corporations accept our certification. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees, by earning this certification, which is provided at the conclusion of the course.

You can increase the importance of your profile during interviews and gain access to a wide range of professional opportunities by combining this certificate with your CV.

The certification is only given upon the successful completion of our training and project-based projects with a practical component.

Students Placements

Python Course Fee and Duration

Classroom Sessions

18,000/- Offer price

Fees payable in up to 3 installments
0% Interest EMI – Pay in Easy Installments (though education financing partners)
Cost-effective courses with high ROI, making it worth every penny you invest.

Students Review

Fast Learning Technologies offers the best Data Analytics training in Bangalore. I enrolled in their program to enhance my skills in this field, and I was able to learn everything in depth. I would like to thank the entire team at Fast Learning Technologies for their support. I highly recommend this training to my friends. Thank you.

Surya

My Honest Review. Joined Fast Learning Technologies with Zero Knowledge on SQL but after completing the course i can confidently say that I gained lot of knowledge on SQL. Trainers here are best in the industry. I will never have a second thought to refer any of my friends to this institute. Keep doing good

Saravana Natraj

This is a very good institute with excellent facilities, and I am confident that everyone will find a job after completing their training. The practical classes are beneficial, and the instructor covered all the material with impressive presentation skills. I highly recommend this institute, especially for those not in the IT field.

Lalith Kumar

Frequently Asked Questions (FAQ)

1. Which is the best python training institute in Nagawara?

Fast Learning Technologies offers practical Python training, real-time projects, and industry-aligned curriculum.

2. Can beginners join Python classes?

Yes. Our course starts with Python basics and gradually progresses to advanced topics.

3. Do you provide project-based training?

Yes. Learners implement real-world projects to gain practical experience.

4. Is online Python training available?

Yes. Online classes with live trainer support are available for Nagawara and nearby areas.

5. What career opportunities are available after Python training?

Learners can become Python developers, data analysts, web developers, automation engineers, and AI/ML trainees.

Placement Records