Python Training in Bangalore with Certification
Job Oriented Training
3RI Technologies Python training in Bangalore is ideal for both new and experienced individuals interested in pursuing a career in the Python programming language. Our Python course covers the basics of Python, as well as OOPS principles, Modules, Django, and Flask Web Frameworks. Aspiring applicants can benefit from our instructor-led training to help them construct web and gaming applications. Our course aims to give trainees hands-on Python programming experience while also covering topics that will help them acquire a Python certification. You will be industry-ready to face interviews and secure a job after completing the Python training.
Key Features
Course Duration : 8 Weeks
Live Projects : 1
Online Live Training
EMI Option Available
Certification & Job Assistance
24 x 7 Lifetime Support
Our Industry Expert Trainer
We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.
Python Course in Bangalore Overview
Python a flexible Language for modern improvement scroll Python has emerged as one of the most famous and versatile programming languages. Applied in areas such as Machine Learning, Data Science, Artificial Intelligence, and Web Development, Python’s broad applications make it an essential skill for aspiring developers. At 3RI Technologies, we provide comprehensive Python training in Bangalore, helping you master the language from the fundamentals to advanced topics. Whether you are just starting out or a skilled developer looking to enhance your skills, our course is tailored to meet your needs.
Our Python course covers key concepts such as variables, functions, data structures, classes, and objects. Additionally, you’ll gain expertise in popular Python frameworks like Django and Flask, which are essential for web development, and learn how to use libraries in Data Science and Machine Learning, including NumPy, pandas, and TensorFlow.
What makes Python unique is its versatility. It’s used for web development, scientific computing, automation, and data analysis. With the increasing demand for Python developers, our Python training program is designed to offer practical experience, allowing you to engage with actual projects. This method guarantees that you are completely prepared to tackle challenges and excel in the tech industry.
Our certification is recognized by top employers, and we provide job placement assistance to help you find opportunities in leading companies across Bangalore. Whether you want to work as a Python developer, data analyst, or machine learning engineer, our course will equip you with the skills to succeed in these roles.
If you’re looking for Python training that combines top-notch instruction, real-world experience, and excellent career prospects, 3RI Technologies is your ideal choice. Join our Python course in Bangalore today and get ready to embark on a rewarding tech career!
Bangalore, commonly known as the “Silicon Valley of India”is home to numerous tech companies and startups, making it an ideal location for pursuing Python training. By enrolling in our Python course, you’ll benefit from a curriculum designed to meet industry standards, making you job-ready upon completion. Our hands-on approach means you’ll gain practical experience by building Python projects, ensuring you understand not just the theory but also how to apply your skills in real-world scenarios.
Our instructors are seasoned professionals with extensive backgrounds in the industry., provide personalized attention and guidance, helping you master Python at your own pace. We offer both classroom and online learning options, enabling you to select the format that aligns most effectively with your timetable and preferred method of learning.
The demand for Python professionals in Bangalore continues to grow, and with the right training, you can tap into this thriving job market. Upon completing the Python certification, you’ll be well-prepared for several high-demand roles in the tech industry. Some of the top career opportunities include:
Career Path | Key Responsibilities | Salary Range (Per Year) |
Python Developer | Building web applications, APIs, and software using Python. | ₹5,50,000 – ₹8,00,000 |
Data Analyst | Analyzing data trends and creating reports for decision-making. | ₹4,00,000 – ₹6,50,000 |
Data Scientist | Developing predictive models, and working on big data projects. | ₹8,00,000 – ₹20,00,000 |
Machine Learning Engineer | Implementing ML algorithms and AI models. | ₹6,50,000 – ₹12,00,000 |
Automation Tester | Writing scripts for software testing automation. | ₹4,50,000 – ₹7,00,000 |
Backend Developer | Designing and managing the server-side logic of applications. | ₹6,00,000 – ₹9,00,000 |
- Core Python programming ideas like variables, data structures, and control flow.
- Practical experience using Python libraries such as NumPy, Pandas, and Matplotlib.
- Practical skills in developing web applications using Django and Flask.
- An understanding of working with databases and performing automation tasks.
- Exposure to data analysis and machine learning techniques with Python.
- Hands-on projects to practice your Python skills in diverse scenarios.
Our instructors provide suggestions to students using clear and understandable language, resulting in highly effective learning We offer students complete freedom to explore the topic. Our concept-driven teaching incorporates practical examples from the real world. Our instructors support candidates not just in their coursework but also in preparation for interview questions and answers. The personalized coaching sessions provide candidates with a chance to learn and ask any questions they may have at any moment.
- Provided training to nearly 2,000 students in one session.
- Possess expert-level knowledge in the subject and have up-to-date understanding of its practical applications in the industry.
- Qualified Experts with over eight years of experience
- Strong theoretical and hands-on knowledge in their areas of expertise.
Python’s easy-to-learn syntax and extensive network of libraries position it as a leading option for programmers worldwide. Its open-source nature and ability to work seamlessly across various platforms, including Windows, Linux, and macOS, have contributed to its widespread adoption by industry giants like Google, Facebook, and Netflix.
Our Python classes in Bangalore are designed to provide you with the abilities essential for succeeding in the current technology environment. From basic programming concepts to advanced techniques in web development and data science, our comprehensive curriculum covers it all. You will gain hands-on experience with popular Python libraries like NumPy, pandas, and TensorFlow, which are commonly utilized in data science and machine learning applications.
Through our well-structured Python training, you will develop a deep understanding of how Python can be used for web development, automation, and data analysis. You’ll also explore how it powers robotics and embedded programming, giving you the flexibility to apply your skills to various fields.
We offer a flexible learning environment with both classroom and online options, making it easier for you to fit your training around your schedule. Our trainers are skilled experts who will assist you at each stage, from mastering the basics to tackling complex real-world projects.
By completing Python classes in Bangalore with 3RI Technologies, you will be ready to pursue exciting job prospects in roles such as Python Developer, Data Analyst, Machine Learning Engineer, and more. Join our Python certification course today and set the foundation for a successful career in one of the most sought-after programming languages in the world.
Importance
- High Demand for Python Skills: Python is widely used in industries like data science, machine learning, web development, and automation.
- Versatile Career Opportunities: Offers career paths such as Python Developer, Data Analyst, and AI Specialist.
- Industry-Relevant Learning: Training involves practical experience with well-known frameworks and libraries such as Django, Flask, and TensorFlow.
- Cross-Platform Compatibility: Learn how Python runs across multiple operating systems (Windows, Linux, Ubuntu).
- Highly Recognized Certification: Certification enhances employability in best companies like Google, Facebook, and Netflix.
The 3RI Technologies Python Certification & Placement Course offers in-depth coverage of essential Python concepts, with a focus on real-world applications in fields like Data Science, Web Development, and Automation. The course also includes key modules on frameworks, libraries, and hands-on projects, ensuring you’re job-ready with practical experience in Python. Here are a few benefits of Python courses in Bangalore.
Benefit |
| ||
Increased Job Opportunities | Certification enhances credibility and increases employability in tech roles. | ||
Industry Recognition | Python is highly regarded by top companies like Google, Facebook, and Netflix. | ||
Skill Validation | Certification validates your proficiency and understanding of Python programming. | ||
Higher Salary Potential | Certified experts typically earn more than their non-certified counterparts. | ||
Career Advancement | Opens doors to roles in Data Science, Machine Learning, AI, and more. | ||
Hands-On Learning | Real-world projects and training prepare you to be job-ready from the very first day. | ||
Access to Networking Opportunities | Join a community of Python professionals and stay updated with industry trends. |
When it comes to learning Python, Choosing the appropriate training program is essential for achieving your goals and skill development. There are many choices accessible, ranging from online classes to in-person workshops, making an informed decision can be overwhelming. At 3RI Technologies, we help you choose the right Python program by understanding your unique career goals and needs. Whether you’re aiming for a career in data science, web development, or machine learning, our expert advisors guide you to the best course for your aspirations. We offer personalized support, helping you select the right learning format (online or offline) and curriculum that matches your skill level. With our hands-on training approach, flexible schedules, and job assistance, you’ll gain the expertise to excel in your chosen field.
- Understanding Your Learning Goals: Clearly define your objectives (e.g., web development, data science) and ensure the course matches these goals.
- Exploring Different Formats: Compare online courses, boot camps, and traditional classes to determine which format suits your learning style and schedule.
- Evaluating Course Content: A well-structured curriculum with hands-on projects and clear objectives is essential for building practical skills.
- Instructors and Support: Choose programs with experienced instructors and access to mentorship, forums, or dedicated support.
- Reviews and Testimonials: Research feedback from previous students to gauge the quality of the program.
- Budget: Balance quality and affordability when selecting a training program that fits your financial capacity.
Python Course In Banglore is appropriate for individuals of all levels of competence due to the growing demand for competent experts. This course is best suited for
- Software Developers
- Web Developers
- Big Data Experts
- Data Security Consultants
- Data Scientists
- Data Engineers
- Business Consultants
- Business Analysts
- Research Analysts
- UX Designers
- Python Developers
- Anyone interested in a Python programing language.
- Anyone interested in becoming a Python Developer or Python Full Stack Developer.
- Experts who want to pass their Python Certification exams.
- Freshers
- Graduates, Postgraduates, MCA, BCA, BSc (IT)
Skills Required
- No Prerequisites for Python certification training
- Basic knowledge of SQL is advantageous
Python Course Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
- An Introduction to Python
- Why Python, its Unique Feature and where to use it?
- Python Environment Setup
- Discuss about IDE’s like IDLE, Pycharm and Enthought Canopy
- Start programming on an interactive shell.
- Python Identifiers, Keywords
- Discussion about installed module s and packages
- Access Command line arguments within programs
- Conditional Statement, Loops, and File Handling
- Python Data Types and Variable
- Condition and Loops in Python
- Decorators
- Python Modules & Packages
- Python Files and Directories manipulations
- Use various files and directory functions for OS operations
- Python Core Objects and Functions
- Built in modules (Library Functions)
- Numeric and Math’s Module
- String/List/Dictionaries/Tuple
- Complex Data structures in Python
- Arbitrary data types and their Data Structure
- Python built-in function
- Python user-defined functions
- Python packages and functions
- The anonymous Functions – Lambda Functions
- Object Oriented Python
- OOPs Concepts
- Object, Classes and Destroying Objects
- Accessing attributes, Built-In Class Attributes
- Inheritance and Polymorphism
- Overriding Methods,
- Abstraction and Encapsulation
- Regular Expression
- Regular Expressions
- What are regular expressions?
- The match and search Function
- Compile and matching
- Matching vs searching
- Search and Replace feature using RE
- Extended Regular Expressions
- Wildcard characters and work with them
- Multithreading
- Multithreading with Python
- What is multithreading?
- Starting a New Thread
- The Threading Module
- Synchronizing Threads
- File Handling
- Writing data to a file
- Reading data from a file
- Read and Write data from CSV file
- OS module
- Rename and Removing files, directories
- Exception Handling in Python
- Exceptions Handling
- Handling various exceptions using try….except…else
- Try-finally clause
- The argument of an Exception and create a self exception class
- Python Standard Exceptions
- Raising an exceptions, User-Defined Exceptions
- Debugging Python Programs
- Debug Python programs using pdb debugger
- Assert for debugging
- Standard project setup in Python
- Modules & Packages
- Modules
- How to import a module?
- Packages
- How to create packages
- Database Handling
- Create Database Connection
- Creating and accessing SQLite database
- Python with MySQL Database
- Creating Database table
- CRUD operation on a database
- Performing Transactions
- Handling Database Errors
- Disconnecting Database
- Basics of Web Page Creation
- Understanding of basic HTML /CSS
- HTML Header, paragraph
- Various tag for button, label and combo-box
- Creation of forms in HTML
- Django Framework
- Introduction to Django
- MVT Architecture
- How to create Django App
- Url Mapping
- Templates
- Introduction to static file
- Django Model Overview
- Creating model
- Model template view creation
- Django forms and validation
- Relative Url with Template
- Interacting with a Database: Models
- Overview of Models
- Creating Models
- Configuring the Database
- Your First App
- Using Django with MySQL.
- Models-Templates-Views Paradigm
- Inserting and Updating Data
- The Django Administration Site
- Activating the Admin Interface
- Using the Admin Interface
- Users, Groups, and Permissions
- Selecting an Objects
- Deleting an Objects
- Views and Templates
- URL Template Inheritance
- Template Inheritance Coding Example
- Quick Note on Custom Template Filters
- Template Filters and Custom Filters
- Template Filters Coding Examples
- Django Passwords
- Deploying Django Framework
- Form Processing
- Django Forms
- Form Validation
- Model Forms
- Relative URLs with Templates
- Relative URLs Coding Examples
- Project Work
- Discussion on Overview and requirements of Project
- Creation a Web-based Application
- Fundamentals of Data Science and Machine Learning
- Introduction to Data Science
- The need for Data Science
- BigData and Data Science’
- Data Science and machine learning
- Data Science Life Cycle
- Data Science Platform
- Data Science Use Cases
- Skill Required for Data Science
- Mathematics For Data Science
- Linear Algebra
- Vectors
- Matrices
- Optimization
- Theory Of optimization
- Gradients Descent
- Linear Algebra
- Introduction to Statistics
- Descriptive vs. Inferential Statistics
- Types of data
- Measures of central tendency and dispersion
- Hypothesis & inferences
- Hypothesis Testing
- Confidence Interval
- Central Limit Theorem
- Probability and Probability Distributions
- Probability Theory
- Conditional Probability
- Data Distribution
- Binomial Distribution
- Normal Distribution
Machine Learning
Python for ML along with Module1
- Introduction to NumPy
- Array Operations
- Arrays Functions
- Array Mathematics
- Array Manipulation
- Array I/O
- Importing Files with Numpy
- Data Manipulation with Pandas
- Data Frames
- I/O
- Selection in DFs
- Retrieving in DFs
- Applying Functions
- Reshaping the DFs – Pivot
- Combining DFs
- Merge
- Join
- Data Alignment
- SciPy
- Matrices Operations
- Create matrices
- Inverse, Transpose, Trace, Norms , Rank etc
- Matrices Decomposition
- Eigen Values & vectors
- SVDs
- MatPlotLib
- Basics of Plotting
- Plots Generation
- Customization
- Store Plots
- SciKit LearnBasics
- Data Loading
- Train/Test Data generation
- Preprocessing
- Generate Model
- Evaluate Models
Machine Learning
- Exploratory Data Analysis
- Data Exploration
- Missing Value handling
- Outliers Handling
- Feature Engineering
- Feature Selection
- Importance of Feature Selection in Machine Learning
- Filter Methods
- Wrapper Methods
- Embedded Methods
- Machine Learning: Supervised Algorithms Classification
- Introduction to Machine Learning
- Logistic Regression
- Naïve Bays Algorithm
- K-Nearest Neighbor Algorithm
- Decision Tress (SingleTree)
- Support Vector Machines
- Model Ensemble
- Bagging
- Random Forest
- Boosting
- Gradient Boosted Trees
- Model Evaluation and performance
- K-Fold Cross Validation
- ROC, AUC etc…
- Machine Learning: Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Tree and Random Forest Regression
- Machine Learning: Unsupervised Learning Algorithms
- Similarity Measures
- Cluster Analysis and Similarity Measures
- K-chical Clustering
- Principal means Clustering
- HierarComponents Analysis
- Association Rules Mining & Market Basket Analysis
- Text Mining
- Basics
- Term Document Matrix
- TF-IDF
- Twitter Sentiment Analysis
- Project Work
- Machine Learning end to end Project blueprint
- Regression predictive modeling – House Price Prediction
- Classification predictive modeling – Binary Classification
- Widespread coverage for each Topic
- Various Approaches to Solve Data Science Problem
- Pros and Cons of Various Algorithms and approaches
- Introduction to Selenium
- Introduction to Automation Testing
- Why Automation Testing
- Introduction to Selenium components
- History and various versions of selenium
- What is Selenium 3.0
- Advantages of using Selenium over other tools.
- Installation and setting up the environment
- Installation of Python
- Automation Setup for Selenium Web Driver
- Install and Configure PyDev in Eclipse
- Selenium-IDE
- Introduction
- IDE Features
- Building & Running Test Cases
- Building and Running Test Suites
- Selenium Web Driver 2.0
- Why Selenium Web Driver
- What is a Driver
- Download & configuring Web driver
- Architecture of selenium web driver
- Drivers for Firefox, IE, chrome
- Identification of Locators
- Tools to identify elements/objects
- Different methods of finding an element
- By ID, By name, class
- By Xpath, By Tag name
- By Link text
- By CSS
- Using Effective X-path
- Selenium Commands
- Various types of operation that can be
- performed on any elements and how to use them.
- Browser Commands, Navigation Commands
- Working with a different browser
- Handling Checkbox, RadioButton
- Dropdown and Select Operations
- Capturing Screenshots
- Handling Keyboard Event and Mouse Event
- Multiple Window Handling
- Alert & Pop Up Handling.
- Wait Commands in Selenium
- Implicit Wait
- Explicit Waits, Expected Conditions
Advanced Selenium
- Framework Designing
- What is Framework
- Different Types of Framework.
- How to Design a framework?
- Data-Driven Framework using Excel
- Reading and writing data from Excel
- Executing Testcases from Excel
- PyTest Framework
- Introduction to PyTest framework
- Installing PyTest
- PyTest Fixtures
- Parametrized Test Functions
- Running multiple tests using PyTest
- Generating Test report
- Unit Test Framework PyUnit
- Basic of pyunit
- pyunit Installation
- pyunit annotation
- Test Case creation
- Test Case execution
- Assertions/Reporting Errors
- Suite execution
- pyunit Reports
- Using pyunit in Selenium
- POM Framework
- Advantages of POM
- How to implement
- Using Page Object and Page Factory
- Continuous Build Integration tools- Jenkins
- What is Jenkins and how to use it
- Installation and configuration of Jenkins
Front End Technologies
- HTML
- Introduction and Basic Structure of HTML
- Basics, Elements, Attributes
- Paragraphs and Formatting
- HTML Skeleton, Links, Images
- HTML Tables, Blocks
- HTML Lists, Quick List
- HTML Blocks
- HTML Layouts & Forms, IFrames
- HTML Colors
- CSS
- Introduction
- Syntax
- Id & Class
- Backgrounds
- Text and Fonts
- Links and Lists
- Box Model
- Advanced Topics
- Dimensions, Display
- Positioning, Floating
- Align
- JavaScript
- Introduction
- Statements & Comments
- Variables
- Operators and Comparisons
- Conditional Statements and Loops
- User Defined Functions
- JS Objects
- JS Validations
- Bootstrap
- What is Bootstrap and its Setup
- How to Create a Layout in Bootstrap
- Grid Classes
- Basic Tags in Bootstrap
- Contextual colors and backgrounds
- Table in Bootstrap
- Bootstrap Basic Tables
- Striped Rows, Hover Rows
- Bordered Table, Condensed Table
- Responsive Tables
- Navigation bar in Bootstrap
- Inverted Navigation Bar
- Fixed Navigation Bar
- Navigation Bar with Dropdown
- Right-aligned Navigation Bar
- Collapsing the Navigation Bar
- Form & Buttons in Bootstrap
- Vertical Form
- Horizontal Form
- Inline Form
- Block Level Buttons
- Active/Disabled Button
Database Handling with Python
- Python MySQL Database Access
- Create Database Connection
- DML and DDL Operations with Databases
- Performing Transactions
- Handling Database Errors
- Disconnecting Database
- Database Handling with NoSQL DB
- SQL vs NoSQL
- MongoDB
- PyMongo
- Establishing a Connection
- Accessing Database
- DML and DDL Operations
Project Work
- User Login and Registration site
- Create an online Test evaluation system for Institute
- Building an E-commerce site in Django
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Who can apply for the course?
- Graduates who want to become Python Developer
- BE / BTech / MCA passed aspirants to make their career as Web Developers / Data Scientists
- IT-Professionals who want to get career as Programming Expert
- Professionals from non-IT bkg, and want to establish in IT.
- Candidate who would like to restart their career after a gap.
- Web Designers for next level of their career.
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Skills to Master
Web scraping
Django
Operators
Methods
Functions
Data Structures
Pandas
NumPy
Libraries
Matplotlib
Loops
Errors and exceptions
Tools to Master
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