Python Certification Course with AI & ChatGPT
- Earn Industry-recognized IBM certification
- Build real-time projects with industry-aligned tools
- Live Interactive sessions from industry veterans
- Updated curriculum designed for AI-era
- Boost employability with globally recognized IBM credentials
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Our learners are working in leading organizations
Gain industry-ready skills and earn an official certificate from DataFlair and IBM.
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Online Python Training Course Curriculum
- Overview of Python Programming
- Why Learn Python?
- Understanding Python and Its Applications
- Key Features of Python
- Platform Dependent vs. Independent Languages
- Limitations of Python
- Evolution and History of Python
- Installing Python Step by Step
- Setting Up PyCharm and IDLE
- Understanding Python Code Execution Flow
- Writing and Running Your First Python Program
- Statements, Indentation, and Comments
- Printing Output in Python
- Taking User Input in Python
- Understanding Methods, Identifiers, and Variables
- Python Data Types and Type Conversion
- Rules for Declaring Identifiers
- Input and Output Functions in Python
- Reading Data in a Single Line
- Formatting Output Using print()
- Using Format Strings and Replacement Operators
- Types of Operators in Python
- Arithmetic and Assignment Operators
- Bitwise and Logical Operators
- Identity and Membership Operators
- Number System Conversion
- If-Else Statements in Python
- If-Elif Ladder
- Pyramid Patterns and Logic Building
- Transfer Statements – Break, Continue, and Pass
- What are Loops?
- While Loop in Python
- For Loop and Iterations
- Nested Loops for Complex Patterns
- Introduction to Strings in Python
- Built-in String Functions and Methods
- String Manipulation Techniques
- String Formatting and Type Casting
- Understanding Collections – Lists, Tuples, and Sets
- Dictionary in Python – Key-Value Pair Management
- Frozen Sets and Their Applications
- Bytes and Bytearray in Python
- What are Functions in Python?
- Creating and Calling Functions
- Function Parameters and Arguments
- Call by Value and Return Statements
- Passing Functions as Arguments
- Global Variables, Local Scope, and eval() Method
- Understanding Recursive Functions
- Factorial Calculation Using Recursion
- Fibonacci Series and Number Reversal with Recursion
- Introduction to Lambda Functions
- Using Lambda with Filter Functions
- Using Lambda with Map Functions
- Basics of Arrays and Their Usage
- Array Operations and Manipulations
- NumPy Arrays – A Deep Dive
- Object References and View vs. Copy in NumPy
- Linear Search
- Implementing Binary Search Algorithm
- Bubble Sort and Its Variants
- Introduction to Object-Oriented Programming
- Classes and Objects in Python
- Self Variable and init() Method
- Polymorphism and Method Overloading
- Operator Overloading and Getters/Setters
- Inheritance and Super Method
- Constructor in Multiple Inheritance
- Abstract Classes and Interfaces
- Understanding Errors and Exceptions
- Try-Except-Finally Blocks for Error Handling
- Raising Custom Exceptions in Python
- Introduction to File Handling
- Reading, Writing, and Appending Data in Files
- Handling Binary Files and Pickle Module
- Working with CSV Files in Python
- Understanding Threads and Thread Life Cycle
- Creating and Managing Multiple Threads
- Race Conditions and Synchronization Techniques
- Introduction to GUI Development with Tkinter
- Creating Windows, Frames, and Widgets
- Event Handling and Tkinter Layouts
- Building a Notepad Project with Tkinter
- Introduction to SQL and Databases
- Connecting Python with MySQL
- Performing CRUD Operations Using SQL
- Understanding ORM and Its Importance
- Designing and Implementing ORM Architecture
- Developing Applications Using ORM
- Python vs C – Key Differences
- Python vs C++ – Performance and Usability Comparison
- Python vs Java – Which One to Choose?
Tools & Technologies
Python Projects
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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
Enroll in Self-paced Python Course
Key Features:
- ✓ Self-paced Expert-led Course
- ✓ Practical-based Curriculum
- ✓ Full Notes + Study Material
- ✓ Real-world Practicals
- ✓ Assessments to Test Skills
- ✓ Interview Ques of Top MNCs
- ✓ Real-time Live Projects
- ✓ Beginner to Advanced
- ✓ 3 years Access Duration
- ✓ Professional Certificate
Key Features:
- ✓ Everything in “PLUS” plus:
- ✓ Job-Ready Skill Training
- ✓ Live Industry Case Studies
- ✓ 1:1 Expert Counselling
- ✓ Dedicated Job Assistance
- ✓ Resume & Interview Prep
- ✓ Additional live Projects
- ✓ Latest Tools/Tech Covered
- ✓ Lifetime Course Access
- ✓ Learn with ChatGPT & AI
Key Features:
- ✓ Everything in “PRO” plus:
- ✓ Global Certification from IBM
- ✓ IBM-aligned curriculum
- ✓ Industry-grade projects
- ✓ Company-wise Interview Ques
- ✓ Pro-level training from IBM
- ✓ Additional Real-time Projects
- ✓ IBM-aligned labs, job-ready output
- ✓ Masterclasses from IBM experts
- ✓ Enhanced Career Opportunities
Python Course Objectives
You will learn Python from scratch throughout the course, starting with the fundamentals of variables, data structures, and control structures. As you grow, you’ll explore more complex subjects like object-oriented programming, Django and Flask web development, data analysis with tools like pandas and NumPy, and machine learning. Working on real-world projects, such as developing web applications, performing data analysis, and developing machine learning models, will allow you to put what you’ve learned into practice.
You’ll have a solid knowledge of Python by the end of this course, along with the assurance needed to take on real-world programming difficulties. This Python course is your key to success, whether you want to start a career in software development, improve your data analysis abilities, or learn more about the fascinating programming world. Join us on this adventure, and together, let’s explore all of Python’s potential.
The main goal of a Python course is to give students a solid foundation in Python programming so they can confidently write code and deal with real-world issues. These classes frequently cover vital subjects, including Python syntax, data structures, functions, and control structures.
At the end of the course, students should be able to create Python scripts, comprehend and change existing code, and use Python to automate processes or carry out simple data analysis. A crucial goal of Python courses is to introduce students to best practices for software development.
The objective is to give students the abilities and knowledge required to utilize Python successfully in various applications, including web development, data analysis, scientific computing, and automation.
Why should you learn Python?
Learning Python has numerous benefits to it. In this world of fast-pace technology, Python plays a vital role in providing exclusive web solutions and creating expert level applications. Here are some well-researched reasons for why you should learn python.
- Python is the programming language equivalent of the Swiss Army Knife. The Forbes
- Python is becoming more and more well-liked, and this trend is continuing. Stack Overflow
- Python routinely scores among the top programming languages according to the TIOBE Index.
- Tech behemoths like Google, Facebook, and Instagram prefer to code in Python.
- In the United States, the average yearly income for Python developers is over $100,000.
- Python’s rapid development is facilitated by its use in data research.
What is Python?
Python’s simplicity, clarity, and flexibility, as well as its high-level, interpreted programming language, are well known. Guido van Rossum developed and originally made Python available in 1991, and it has grown trendy both within and outside of the software development community. Python stands out for its clean syntax, which prioritizes code readability and makes it an excellent choice for novice and seasoned programmers.
Python is a general-purpose language that makes a variety of applications possible. The Python standard library provides modules and packages for activities like file management, network connectivity, data manipulation, and more, which makes the development process easier and faster.
This programming language is flexible in various fields, including web development, data analysis, machine learning, artificial intelligence, scientific computing, automation, and scripting. Web development is made more accessible by frameworks like Django and Flask, frequently used for creating websites and web apps. Python is commonly used in data science for activities including data cleansing, analysis, visualization, and the creation of machine learning models. Python is an effective tool for taking on a variety of difficulties in technology, research, and other fields because of its extensive ecosystem of libraries and active community support.
What to do before you begin?
Before beginning this Python course, it is advised to understand basic programming principles, such as variables, loops, and functions. Although it is advantageous, prior programming knowledge is not required. You should make sure of the following to benefit the most from this course-
- A PC with Python installed is required. An integrated development environment (IDE) like PyCharm or Jupyter Notebook is advised for coding exercises.
- Bring your curiosity and desire to learn. Set aside time to learn Python’s features and put them to use.
- Become familiar with forums, online resources, and Python documentation. These will be helpful resources for you as you continue to study.
Who should go for this Python course?
Python training offers a strong foundation for reaching your goals, whether you’re trying to launch a computer career, develop your current abilities, or investigate new options. Anyone who wants to exploit the power of this adaptable programming language, from novices to seasoned professionals, should consider taking Python training. It is especially suitable for
- Beginners in programming
- Web Developers
- Data Enthusiasts
- Software Developers
- IT Graduates
- Aspiring Coders
- Academic Researchers
By enrolling in our Python course, you can expect the following benefits:
Python training includes both hands-on exercises and realistic projects. The participants will use their knowledge by creating web applications, analyzing data, and even creating machine learning models. By the end of the training, they will have a well-rounded skill set that will lead them to success in many areas, from web programming and automation to software development and data science.
Participants will also develop knowledge of object-oriented programming (OOP) principles, enabling them to create and use modular, effective programs.
- Familiarity with a popular, versatile programming language.
- The ability to build web applications using popular frameworks such as Flask and Django.
- Understanding of data analysis and manipulation libraries such as NumPy and pandas.
- Perspective of Artificial Intelligence and ML
- Hands-on experience through practical projects and coding exercises
- You can use Python confidently for automation, scripting, etc.
- Provide you with a solid background to seek jobs related to data research, software development, etc.
- An advantage in the employment market, given the high demand for Python.
Jobs after Learning this Python Course
Python is in high demand in employment because of its adaptability and applicability in emerging technologies. There are many different work options, and your preferences and areas of expertise in Python development may influence your decision. Learning Python opens the door to a wide range of professions. Following completion of a Python course, you may be interested in the following positions:
- Python Developer
- Data Analyst/Scientist
- Machine Learning Engineer
- Web developer
- Software Engineer
- DevOps Engineer
- Cybersecurity Analyst
- Data Engineer
- Scientific Researcher
- Freelancer/Consultant
- Educator/Trainer
Our students are working in leading organizations
Features of Python Course
Looking for Industry Expert Counselling?
We are a team of trainers who have 20+ years of Industry Experience. They provide project based training and cover real time scenarios during the interactive training sessions.
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Python Online Training FAQs
Yes, Python courses feature online discussion boards or communities where students may talk, post queries, and get help.
This collaboration brings IBM’s global expertise together with TechVidvan’s industry-ready training ecosystem. Our joint programs aim to make students job-ready through hands-on learning, IBM labs, real-world projects, and globally recognized IBM-branded certificates.
There is a great demand for Python developers in various businesses. Successfully completing this course may result in openings in web development, data analysis, machine learning, and other fields.
Depending on your speed, you may normally anticipate finishing a course in a few weeks to a few months.
IBM Certificates can be verified online via IBM’s official SkillsBuild verification portal. Each certificate includes a unique digital credential ID and verification link.
Upon successful completion, students will receive:
- IBM Certificate of Completion (issued directly by IBM)
- TechVidvan Industrial Training Certificate
Both are verifiable online and globally recognized by employers.
To put what you’ve learned into practice, projects can ask you to develop simple, analyze data, or build web applications.
Yes. All IBM-branded courses and labs included under this collaboration are officially sourced and approved by IBM’s SkillsBuild and Academic Initiative programs, ensuring authenticity and credibility.
No. Novices should take this Python course. Although it is helpful, prior experience is not necessary.
A computer with Python installed is required (we’ll walk you through setup). We advise utilizing an integrated development environment (IDE) for coding.
