Python Coding Classes Near Hebbal
Python coding classes near Hebbal? At Fast Learning Technologies, we offer an immersive learning experience that equips beginners and professionals alike with in-demand Python programming skills.
Online/Offline
Mode
1 - 2 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About python Courses
Looking for Python coding classes near Hebbal? At Fast Learning Technologies, we offer an immersive learning experience that equips beginners and professionals alike with in-demand Python programming skills. Python is one of the most versatile and widely-used programming languages today, powering web development, data science, automation, AI, and machine learning applications.
Our courses are designed to provide a perfect balance of theory, hands-on exercises, and real-world projects. You’ll learn Python fundamentals, object-oriented programming, data structures, algorithms, and advanced topics such as web frameworks, automation scripts, and data analytics. With guidance from industry-experienced trainers, practical exposure, and personalized mentorship, you’ll be ready to build your projects and kickstart your career in Python development.
By joining our Python coding classes near Hebbal, you gain access to flexible learning schedules, comprehensive resources, live project experience, and a certificate recognized by top tech companies. Whether your goal is to become a software developer, data analyst, or automation engineer, Fast Learning Technologies ensures you have the skills and confidence to succeed in today’s competitive IT industry.
Why Choose fast learning technologies?
Practical and Hands-On Learning
Every session includes coding exercises and live projects to apply your learning immediately.
Experienced Trainers
Learn from professionals with hands-on Python development experience across multiple industries.
Affordable Pricing
Get top-quality training without straining your budget.
Placement Assistance
Receive career guidance, interview prep, and access to our recruitment network.
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 |
|---|---|---|---|
| 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
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)
The courses range from 40–60 hours depending on the batch and specialization.
Yes, we guide students with resume preparation, mock interviews, and job referrals.
No, our beginner course is suitable for individuals with little to no prior experience.
We offer both online and offline classes near Hebbal for maximum flexibility.
Yes, students receive an industry-recognized Python certification after completing the course.