Python Full Stack Developer Course Bangalore
Looking for a practical and career-focused python full stack developer course in bangalore? Fast Learning Technologies offers a complete Python Full Stack Developer training program designed for students
Online/Offline
Mode
1 - 2 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About python Courses
Looking for a practical and career-focused python full stack developer course in bangalore? Fast Learning Technologies offers a complete Python Full Stack Developer training program designed for students, fresh graduates, working professionals, and career changers who want to build strong skills in web development, backend development, frontend development, databases, APIs, and real-time project development.
Bangalore is one of India’s biggest IT and startup hubs. Many companies in the city need skilled full stack developers who can build complete web applications from front end to back end. Python is one of the most popular programming languages for full stack development because it is simple, powerful, flexible, and widely used in modern software development.
At Fast Learning Technologies, our Python Full Stack Developer course helps learners understand both client-side and server-side development. You will learn how websites work, how web pages are designed, how backend logic is created, how databases are connected, and how real applications are developed.
What Makes Fast Learning Technologies a Trusted Choice?
Fast Learning Technologies focuses on practical learning, clear explanations, and career-focused training. We understand that many learners want to enter the data science field but feel confused about where to start.Some learners worry about coding. Some feel statistics is difficult. Others do not know which tools are actually used in real companies. Our course is designed to solve these problems with a simple, structured, and beginner-friendly approach. Instead of teaching only theory, we help students work with data, clean datasets, write Python code, understand patterns, create visual reports, and build confidence through assignments and projects. Our Python for Data Science course in Bangalore is suitable for people who want to learn practical data skills that can be used in IT, finance, healthcare, marketing, e-commerce, education, logistics, and many other industries.
What Makes Our Training Different?
Our Python Full Stack Developer course focuses on:
- Beginner-friendly coding explanations
- Frontend and backend development concepts
- Python programming fundamentals
- Django-based web application development
- Database integration and management
- API development and usage
- Real-time project practice
- Resume and interview preparation
- Bangalore-focused career guidance
Our Alumni's Are Placed At
Course Curriculum
- What is Data Science?
- Data Science vs Data Analytics vs Machine Learning vs AI
- Career Opportunities in Data Science
- Lifecycle of a Data Science Project
- Overview of Tools & Technologies (Python, R, SQL, Power BI, TensorFlow, etc.).
- Linear Algebra Essentials
- Probability & Distributions
- Descriptive & Inferential Statistics
- Hypothesis Testing & Confidence Intervals
- Correlation & Regression Analysis
- Time Series Analysis Basics.
- Python Basics & Data Structures
- Control Statements & Functions
- Libraries for Data Science (NumPy, Pandas, Matplotlib, Seaborn)
- Data Wrangling & Preprocessing
- Data Visualization with Python
- Automating Data Workflows with Python.
- Introduction to Databases (MySQL, PostgreSQL)
- Writing SQL Queries (SELECT, INSERT, UPDATE, DELETE)
- Joins, Subqueries & Indexing
- Data Aggregation & Grouping
- Data Warehousing & ETL Concepts
- NoSQL Databases (MongoDB).
Excel & Advanced Excel
- Pivot Tables, VLOOKUP, HLOOKUP
- Data Cleaning & Validation
- Macros & Automation
Power BI & Tableau
- Creating Dashboards & Reports
- Data Modeling & DAX Functions
- Connecting to Multiple Data Sources
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- Regression Techniques (Linear, Multiple, Polynomial)
- Classification Models (Logistic Regression, SVM, Decision Trees, Random Forest)
- Clustering (K-Means, DBSCAN, Hierarchical)
- Model Evaluation Metrics (Confusion Matrix, ROC, Precision-Recall)
- Feature Engineering & Data Scaling
- Introduction to Neural Networks
- TensorFlow & Keras Basics
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN) for Image Processing
- Recurrent Neural Networks (RNN) for Time-Series Data
- Generative Adversarial Networks (GANs)
- Hyperparameter Tuning & Model Optimization.
- Text Processing & Tokenization
- Sentiment Analysis & Text Classification
- Named Entity Recognition (NER)
- Chatbot Development with NLP.
- Introduction to Big Data Technologies (Hadoop, Spark)
- Cloud Data Platforms (AWS, Google BigQuery, Azure)
- Streaming Data Processing.
- Two – Real time Industry Projects
- Resume Building & Portfolio Development
- Data Analytics Case Studies & Best Practices
- Mock Interviews & Placement Assistance
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
Suresh
Python instructor with 10 years of teaching and development experience.
Vimal
Senior Python trainer with 13 years of hands-on expertise.
Pavithra
Python educator with 10 years of professional experience.
Anusha
Experienced Python developer and instructor with 11 years in the field.
Imaran
Python programming specialist with 8 years of practical and teaching experience.
Course batch schedule
| Date | Course | Batch | Timings |
|---|---|---|---|
| 22 Jul | Python | New Batch | 8 AM - 9 AM |
| 22 Jul | SQL | New Batch | 6 PM - 7 PM |
| 27 Jul | Excel | New Batch | 9 AM - 10 AM |
| 27 Jul | Power BI | New Batch | 2 PM - 3 PM |
| 29 Jul | AWS | New Batch | 5 PM - 6 PM |
| 29 Jul | Frontend | New Batch | 10 AM - 11 AM |
| 03 Aug | Linux | New Batch | 4 PM - 5 PM |
| 05 Aug | Data Science | New Batch | 8 AM - 9 AM |
| 05 Aug | Machine Learning | New Batch | 5 PM - 6 PM |
| 10 Aug | AI | New Batch | 8 AM - 9 AM |
Get Certified & Prove Your Industry Readiness
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
Frequently Asked Questions (FAQ)
Fast Learning Technologies offers a practical Python full stack developer course in Bangalore for students, freshers, and working professionals. The course covers Python, frontend development, Django, databases, APIs, projects, and interview preparation.
Yes. Beginners can join this course. The training starts with web development basics and Python fundamentals before moving into Django, databases, and project development.
After completing the course and gaining enough practice, you can apply for roles such as Python Developer, Full Stack Developer, Django Developer, Web Developer, Backend Developer, and Software Developer Trainee.
Yes. Bangalore has a strong IT and startup ecosystem. Many companies need developers who can build complete web applications. Python full stack development can be a strong career choice for learners interested in software development.
Yes! Our Python Full Stack Developer course in Bangalore includes
100% placement assistance with resume building, mock interviews,
portfolio development and direct referrals to 200+ hiring partners.
Students from our Python Full Stack Developer course in Bangalore
have been placed in TCS, Infosys, Wipro, Capgemini and Cognizant.
