Advanced Python Certification Course [Hindi]
Master Python with our Adv Python course! With real-time projects, you will gain practical skills required in the industry and prepare to crack interviews with top MNCs with a special preparation series. You will also gain hands-on knowledge with practicals and test it with quizzes.
What will you take home from this Advanced Python Course?
- 35+ hrs self-paced expert-led course
- 100+ hrs of comprehensive study material
- 110+ hrs of real-world practicals
- 35+ Interactive quizzes & assessments
- 390+ Interview questions for top MNCs
- 55+ Real-time projects with implementation
- 90+ Python Practical Code Examples
- 98% Positive reviews from learners
- 35+ Comprehensive assignments
- 30+ Real-time industry case-studies
- 115+ Python programming tutorials
- 1:1 Career counselling with expert
- Practical knowledge which industry needs
- Industry-renowned certification
Your Advanced Python Journey Starts Here — Enroll Now
Master Advanced Python from Scratch
Join our hands-on Advanced Python course crafted by industry veterans and build real-world skills. It’s not just a course, it’s a job-ready bootcamp.|
Start Anytime (self-paced) |
Duration 35+ Hrs |
Access Duration 2 Years |
Price |
Enroll Now |
Why should you enroll in this Advanced Python Course?
- Experience the satisfaction of mastering a powerful programming language and the joy of creating impactful, meaningful and beautiful software
- This course prepares you with the skills and confidence to apply for software, data, and beyond jobs
- By the end, you’ll have a collection of projects demonstrating your coding skills to employers or clients
- If you’re looking to get certified, this course provides the knowledge foundation needed to pursue professional Python certifications
- Python’s popularity shows no signs of slowing down, meaning the skills you learn here will stay relevant and valuable
- Learning Python provides a solid basis for programming concepts like loops, conditionals, and functions
Advanced Python Course Objectives
By the end of this advanced Python course, you will have achieved the following objectives:
- Master Advanced Python Concepts: This course will help you gain a deep understanding of advanced Python features like decorators, generators, context managers, and more, enabling you to write cleaner, more efficient code.
- Optimise Code Performance: Learn ways to improve the speed and performance of your Python programs through memory management, multithreading, and parallel processing.
- Work with Complex Data Structures: Explore features of data structures such as heaps, trees, and graphs and see how they are implemented in Python.
- Prepare for Advanced Python Roles: Equip yourself with the skills required for roles in data science, AI, machine learning, and software development, where advanced Python knowledge is a crucial asset.
Each objective ensures you leave the course with theoretical knowledge and practical skills to implement Python solutions expertly.
Why should you learn Advanced Python?
- Automate Complex Tasks: Develop scripts to automate multifaceted workflows, saving time and reducing manual effort.
- Develop Machine Learning Models: Learn how to build and deploy machine learning models using Python, which will open doors to AI and data science roles.
- Create Dynamic Web Applications: Use frameworks like Django and Flask to build sophisticated, dynamic web applications that meet modern web standards.
- Secure Your Applications: Understand and implement security best practices to protect your Python applications from vulnerabilities and threats.
What to do before you begin?
- Solid Foundation in Python
- Familiarity with Development Tools
- Willingness to Practice
Who should go for this Advanced Python course?
- Aspiring Python Developers
- Software Engineering Enthusiasts
- IT Graduates and Students
- Aspiring Web Developers
- Tech Enthusiasts
- Working Professionals
By enrolling in our Advanced Python course, you can expect the following benefits:
This Advanced Python online course offers several advantages in your technical career:
- Career Opportunities: With advanced Python skills, you can start a career in various advanced roles in data science, machine learning, etc.
- Problem-Solving Expertise: You’ll become an expert in optimising and debugging your code, enabling you to solve more challenging programming tasks.
- Project Portfolio: You’ll leave with a portfolio of completed projects demonstrating your advanced abilities, which will be a valuable asset in your job search.
Jobs after Learning this Advanced Python Course
Mastering Python, especially at an advanced level, can open doors to many high-demand career opportunities across various industries.
Some of the top job roles you can pursue after learning Python include:
- Python Developer: Create and maintain applications, from web development to automation, using Python’s robust libraries and frameworks.
- Data Scientist: Leverage Python for data analysis, machine learning, and statistical modeling to extract insights from large datasets and drive decision-making.
- Machine Learning Engineer: Design and implement machine learning algorithms and models using Python libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Software Engineer: Design, develop, and optimise complex software solutions using Python, contributing to large-scale projects in tech-driven companies.
- Data Analyst: Use Python’s data analysis libraries, such as Pandas and NumPy, to clean, analyze, and visualize data for actionable insights.
- Bioinformatics Specialist: Use Python to solve biological and health-related problems in scientific research, particularly in genomics, drug discovery, and medical data analysis.
- AI Specialist
- Web Developer
- Automation Engineer
- DevOps Engineer
With Python’s versatility and widespread use across multiple fields, mastering the language equips you with the skills needed for many exciting career paths.
Our students are working in leading organizations
Online Advanced Python Training Course Curriculum
- Understanding the basics of multithreading
- The lifecycle of a thread in Python
- Different methods to create threads
- Working with the Thread class
- Managing the Main Thread in Python
- Using the join() method for synchronization
- Exploring daemon threads
- Handling exceptions in multithreaded programs
- Avoiding race conditions in multithreading
- Synchronizing threads with Locks
- Difference between Lock and RLock
- Using RLock for advanced synchronization
- Semaphore in Python for managing thread access
- Building GUI applications with Tkinter
- Customizing root window options in Tkinter
- Methods and attributes of the root window
- Adding frames to organize your GUI
- Inserting images into Tkinter widgets
- Creating and managing buttons in a GUI
- Handling multiple buttons in an application
- Customizing fonts in GUI applications
- Using grid layouts in Tkinter
- Differences between grid(), pack(), and place() methods
- Developing a login application using Tkinter
- Implementing GUI applications using OOP principles
- Working with CheckButtons and RadioButtons
- Managing entry controls with events
- Creating popup dialog windows
- Adding a menu bar to your GUI
- Building a Notepad project with Tkinter
- Connecting Python to MySQL databases
- Installing and configuring MySQL server
- Understanding SQL and its role in database management
- Working with DDL (Data Definition Language) commands
- Using DML (Data Manipulation Language) commands for database operations
- Implementing the LIKE command for pattern matching
- Performing aggregate functions in SQL queries
- Writing and executing nested SQL queries
- Connecting Python with MySQL databases
- Storing data using parameterized queries
- Retrieving data from a database with Python
- Fetching individual records from a database
- Deleting records from a MySQL database using Python
- Introduction to ORM (Object-Relational Mapping) in Python
- The role of ORM in enterprise applications
- Designing ORM architecture for scalable solutions
- Developing enterprise-level applications using ORM
- Connecting Python GUI applications to a database via ORM
- Key differences between Python and C
- Comparing Python with C++
- Understanding how Python differs from Java
Features of Advanced Python Course
Advanced Python Online Training FAQs
Yes, a solid understanding of basic Python concepts is essential to fully grasping the advanced topics covered in this Advanced Python course.
Yes, the advanced skills you’ll learn are highly valued by employers and will help you stand out in job interviews.
Yes, this Advanced Python course includes hands-on projects where you’ll apply the concepts you’ve learned to build real-world applications.
The Advanced Python course is self-paced, but students typically complete it within 4-6 weeks, depending on their schedule.
Absolutely. This Advanced Python course covers many advanced Python techniques essential for data science and machine learning.
Upon completing all modules and projects, you will receive a certificate you can showcase on your resume and LinkedIn profile.
You will have access to a support team and discussion forums to ask questions.
It covers more advanced topics, such as multithreading, data structure manipulation, and code optimisation, beyond what is typically taught in beginner courses.
You will need a computer with Python installed, an Integrated Development Environment (IDE) like PyCharm or VS Code, and access to necessary libraries and frameworks, which will be covered in the course setup instructions.
Yes, the course is designed to be flexible and self-paced, allowing you to learn and progress according to your schedule without disrupting your professional commitments.
