Advanced Python Certification Course with AI & ChatGPT [Hindi]
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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.
Course Highlights – Everything You Need to Succeed
- 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.|
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Success Stories – They Believed, Learned & Achieved!
Success Isn’t Luck – It’s Learning. They Chose to Upskill – Now They’re in the World’s Best Companies!
“The trainer has good industry experience, which assisted me to get the required industry practices.”
I needed a good training institute which could guide me, teach me, and prepare me for Big Data. I researched and found DataFlair as the perfect institute for learning Big Data….Read more
Nagur Babu Polusani 
Analyst at Tata Consultancy Services
“Your determination to keep learning will open doors you never knew existed.”
From the very first session, I found the course well-structured and practical-oriented. The lessons were explained in a way that made even challenging topicseasy to understand. Each module had hands-on projects and quizzes,…Read more
Aditi Garg
Software Development Engineer 2 at Amazon
“From Video Editor to Technical Executive – My Learning Journey with DataFlair TechVidvan”
My tech journey wasn’t a straight road but a winding path filled with curiosity, exploration, and self-doubt. So I decided to gain hands-on knowledge through some institute, and there I came to…Read more
Mehak Bhatia
Technical Executive at Coach Fundation
“My ingredients to success are Confidence, Coffee, Hadoop, Spark, Scala, DataFlair and Determination,”
DataFlair is the best place to learn and grow a career. Therefore I recommend all the aspirants/juniors to learn every inch of the course and the technologies to get the best out of it. I never thought…Read more
Pranit Kumar
Senior Developer at Cognizant
“From System Engineer to PWC: My Java Journey of Growth and Transition.”
I joined DataFlair to master Java after seeing reviews on Google. And to my surprise, my learning was more than just the expectation. I had a complete learning covering theory, practicals, projects, interview questions etc…Read more
Anjali Sharma
Analyst at PWC
“From Learner to Machine Learning Professional: How TechVidvan Helped My promotion at Morgan Stanley.”
The learning journey at TechVidvan was very nice. The instructors explained complex ML concepts simply and practically, making them easy to understand. The real game-changer for me…Read more
Richa Jain
Senior Manager at Morgan Stanley
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Online Advanced Python Training Course Curriculum
1. Multithreading in Python Part – 1
- Understanding the basics of multithreading
- The lifecycle of a thread in Python
- Different methods to create threads
- Working with the Thread class
2. Multithreading in Python Part – 2
- Managing the Main Thread in Python
- Using the join() method for synchronization
- Exploring daemon threads
- Handling exceptions in multithreaded programs
3. Multithreading in Python Part – 3
- 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
4. GUI Programming with Python Tkinter Part – 1
- Building GUI applications with Tkinter
- Customizing root window options in Tkinter
- Methods and attributes of the root window
- Adding frames to organize your GUI
5. GUI Programming with Python Tkinter Part – 2
- Inserting images into Tkinter widgets
- Creating and managing buttons in a GUI
- Handling multiple buttons in an application
- Customizing fonts in GUI applications
6. GUI Programming with Python Tkinter Part – 3
- Using grid layouts in Tkinter
- Differences between grid(), pack(), and place() methods
- Developing a login application using Tkinter
- Implementing GUI applications using OOP principles
7. GUI Programming with Python Tkinter Part – 4
- 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
8. Introduction to SQL
- Connecting Python to MySQL databases
- Installing and configuring MySQL server
- Understanding SQL and its role in database management
9. SQL Commands
- 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
10. Python Database Connectivity
- 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
11. ORM Architecture in 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
12. Comparison Between Python and Other Programming Languages
- Key differences between Python and C
- Comparing Python with C++
- Understanding how Python differs from Java
Tools & Technologies
Python
PyCharm
VS Code
PyQt
Python IDLE
AI
OOP
ChatGPT
PDBC
GenAI
Tkinter
Python Projects
Build Real-time Projects & Get Job-Ready!
-
Language Translation
Create a language translation tool in Python using APIs, improving your skills in web scraping and API integration.Create an MP3 Music Player
Build an MP3 player with Python, exploring multimedia file handling and GUI design using Tkinter and Pygame.Convert Text to Speech
Develop a text-to-speech program in Python with pyttsx3, practicing audio handling and third-party library integration. -
Develop Desktop Voice Assistant
Create a voice assistant in Python that can execute commands, enhancing your knowledge of speech recognition and NLP.Screen Recorder Project
Develop a screen recording tool in Python to capture desktop activity, mastering video processing and file handling.Ludo Game
Create a Ludo game in Python, focusing on game logic, random number generation, and user interface design. -
Create 2048 Game
Build the 2048 game in Python, implementing tile movement and merging algorithms to enhance your game development skills.Snake Game
Build the classic Snake game in Python, learning about collision detection, game loops, and keyboard input.Library Management System
Create a library management system in Python, automating book checkouts and returns with file handling and database management.
Learn From Industry’s Best Instructors
Industry-renowned Certification
Our learners are working in leading organizations
Numbers That Speak Our Success
70000+
Career Carved
100+
Comprehensive Courses
4.8
Average Rating
19 LPA
Average Package
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Countries Served
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Course Objectives
Why
Prerequisites
Who
Course Benefits
Jobs
Companies
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
Features of Advanced Python Course
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Advanced Python Online Training FAQs
Do I need to complete the introductory Python course before enrolling in the Advanced Python Course?
Yes, a solid understanding of basic Python concepts is essential to fully grasping the advanced topics covered in this Advanced Python course.
Will this Advanced Python course help me with job interviews?
Yes, the advanced skills you’ll learn are highly valued by employers and will help you stand out in job interviews.
Will I work on practical projects?
Yes, this Advanced Python course includes hands-on projects where you’ll apply the concepts you’ve learned to build real-world applications.
How long will it take to complete the Advanced Python course?
The Advanced Python course is self-paced, but students typically complete it within 4-6 weeks, depending on their schedule.
Is this Advanced Python course suitable for aspiring data scientists?
Absolutely. This Advanced Python course covers many advanced Python techniques essential for data science and machine learning.
Will I receive a certificate after completing the Advanced Python Course?
Upon completing all modules and projects, you will receive a certificate you can showcase on your resume and LinkedIn profile.
What kind of support can I expect?
You will have access to a support team and discussion forums to ask questions.
What makes this Advanced Python course different from beginner-level Python courses?
It covers more advanced topics, such as multithreading, data structure manipulation, and code optimisation, beyond what is typically taught in beginner courses.
What tools or software do I need for this advanced Python course?
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.
Can I balance this advanced Python course with my current job?
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.
Course Content
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1. Getting Started with Python
About the Course
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2. Deep Dive into Multithreading in Python
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3. Create beautiful GUIs with Tkinter
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4. Learn SQL Essentials
Introduction to SQL
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5. Connect Python Programs with the Database
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