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Full-Stack Python Developer Certification Training Course

For Students/Beginners

  • 100% Instructor-led Live Sessions
  • Learn from Microsoft Certified Professionals
  • Practice 100+ Coding Hands-on Labs
  • Build 4-6 Real-world Projects end-to-end
  • Build Strong Project Development Skills
  • Live Doubt Support Using Discord
  • Interview Q&A to Crack Your Tech Interviews
  • Resume Building and Job Assistance
🔥 EMI Options Available*
4.7/5 Rated by 1100+ Learners
Book a FREE Career Growth Session

Why Become Full Stack Python Developer?

The Python Full Stack Development course is designed to equip you with the comprehensive skills needed to build robust and scalable web applications.

Full Stack Python Developers can leverage their skills to build a wide range of end-to-end solutions. What are the factors that make the field an upcoming and booming sector?

    1. High Demand in Job Market - Full Stack Python jobs increased by over 30% globally in 2023, with the highest demand in Bengaluru, Hyderabad, and Delhi NCR.
    2. Excellent Salary Packages - The average salary in the US is $ 120 K/year, and in Indian cities like Bengaluru and Mumbai, it ranges from ₹ 7 to ₹ 15 LPA.
    3. End-to-End Development Skills - Mastering frontend and backend lets you build complete apps, making you highly valuable to employers.
    4. Python’s Popularity and Ecosystem - Python ranks #1 language in TIOBE 2024, with strong support from frameworks like Django, speeding up development.
    5. More Freelance and Remote Work Opportunities Full-stack Python devs earn up to ₹3 lakhs/month freelancing and can work remotely for global clients.
    6. Strong Career Growth and Learning Opportunities - Python’s use in AI, data science, and automation opens diverse growth paths beyond web development.
    7. Versatility Across Multiple Industries From finance to healthcare and startups, Python full-stack skills apply across many booming sectors worldwide.
    🚀
    No.1
    Programming Language for AI/ML
    ⏱️
    ~97%
    Websites use JavaScript for Frontend
    👥
    ~16.8M+
    Websites uses React
    🤝
    ~70K+
    Jobs Available on LinkedIn
    💵
    ~12 LPA
    Python Developer Salary
    💻
    ~48%
    Developers use Python

    Learn to Build Real-World Projects

    Our approach is - We throw you in the pool and help you swim! 
    Hand-on experience-based learning methods are what makes us different from others. You will build real-world projects, much like what would be in the scope of your work, to apply coding skills, find roadblocks, and learn how to deal with situations that arise, all in just 4 Months.

    Full-Stack Python Developer Course Curriculum

    Our course stimulates a hands-on learning experience in just 6 Months. Build projects from scratch to get practical coding experience and tangible results.

    Introduction to Full Stack Development

    • Definition and scope
    • Current trends and job market

    • Front-end vs. back-end vs. full stack
    • Setting up the development environment

    Web Development

    • HTML Basics
    • HTML Elements
    • Ordered list and Unordered list
    • Tables
    • HTML Layouts
    • HTML Forms
    • CSS Basics: Colors and Backgrounds
    • Text and Fonts
    • Styles: Lists, Tables

    • Bootstrap Fundamentals
    • Navigation Bar
    • Bootstrap Form Elements
    • Bootstrap Icons
    • Typography
    • Buttons and Dropdowns
    • Images, Card
    • Tabs and Accordion
    • Bootstrap Modals

    • Variables, data types, operators
    • Conditional statements and Loops
    • Function declarations, expressions, scope
    • ES6: let, const, arrow functions, template literals
    • Arrays and Objects
    • Asynchronous PythonScript: Promises, async/await
    • DOM Manipulation and Event Handling
    • Event listeners and handling events
    • Form validation

     Python Basics

    • Install JDK
    • Python Syntax and Data Types
    • Operators and expressions
    • Conditional Statements and Loops

      • Classes and objects
      • Inheritance and polymorphism
      • Encapsulation and abstraction
      • Constructors
      • Method Overloading
      • Method Overriding

      • Exception handling (try, except, finally)
      • Creating Custom exceptions
      • Collectionss
      • Iterator
      • Interface

    Advanced Python Concepts

    • Lambda Functions
    • Generators and Iterators
    • Decorators
    • Context Managers
    • Metaclasses
    • Type Hints and Annotations

    • Setting up database connections
    • Using SQLite, PostgreSQL, MySQL
    • Executing SQL queries with cursor objects
    • Handling database exceptions
    • Using connection pools

    • Flask Framework
    • Django Framework
    • Handling HTTP requests and responses
    • Session Management
    • Middleware and extensions

    • Jinja2 Templating
    • Django Templates
    • Template inheritance and filters
    • Rendering dynamic content
    • MVC/MVT pattern with templates

    • Setting up SQLAlchemy/Django ORM
    • Creating and configuring models
    • Performing CRUD operations
    • Using query APIs
    • Managing relationships (One-to-One, One-to-Many, Many-to-One, Many-to-Many)

    • Pip and virtual environments
    • Dependency management with requirements.txt
    • Poetry package manager
    • Pipenv
    • Setuptools and wheel

    Python Web Frameworks

    • Django's MVT Architecture
    • URL Routing
    • Views and Templates
    • Middleware

    • Models and Migrations
    • QuerySets and CRUD operations
    • Model Relationships
    • Database transactions

    • Flask application structure
    • Routing and Views
    • Request and Response handling
    • RESTful APIs with Flask
    • Template rendering with Jinja2

    • Setting up FastAPI projects
    • Path operations and parameters
    • Request validation with Pydantic
    • Dependency injection
    • Building and deploying FastAPI applications

    Python Testing

    • unittest features and benefits
    • Test discovery
    • Setting up test environments

    • Writing test cases
    • Common assertions (assertEqual, assertTrue, assertFalse)
    • Test fixtures (setUp, tearDown)

    • Writing pytest tests
    • Fixtures and parametrization
    • Mocking with pytest-mock
    • Advanced assertion introspection
    1. Prime Number Generator
    30 min
    2. Inventory Management with Collections
    30 min
    3. Temperature Converter Module
    30 min
    4. CSV Reader and Filter
    30 min
    5. Student Grade Tracker using Dictionary
    30 min
    6. Library Book Management System
    30 min
    7. Custom Calculator with Error Handling
    30 min
    8. Email Validator
    30 min
    9. Data Cleaner with map, filter, and lambda
    30 min
    10. Parallel File Download Simulation
    30 min
    11. Simple Weather API Fetcher
    30 min
    12. Logging Decorator
    30 min
    13. NumPy Basics – Arrays vs Python Lists, Creation & Indexing
    1 hr
    14. Introduction to Pandas – Series, DataFrame & Basic Operations
    1 hr
    15. Reading Data from Various Formats (CSV, Excel, JSON) in pandas
    1 hr
    16. Data Inspection & Initial Cleaning – Titanic Dataset
    1 hr
    17. Handling Missing Values – Titanic Dataset
    1 hr
    18. GroupBy, Aggregation, Pivot Tables & Chaining in pandas
    1 hr
    19. Exploring Types of Data & Measures of Central Tendency in Python
    30 min
    20. Measuring Spread – Variance, Standard Deviation, and Quartiles
    30 min
    21. Exploring Correlation & Covariance + Visual Exploration (Tips Dataset)
    1 hr
    22. Probability Basics & Simple Distributions
    1 hr
    23. Identifying & Analyzing Data Distributions – Normal vs Skewed
    1 hr
    24. Exploring ML Types & Workflow – Iris Classification
    1 hr
    25. Regression vs Classification – California Housing Dataset
    1 hr
    26. Unsupervised Learning – Clustering & Dimensionality Reduction
    1 hr
    27. Rule-Based vs ML-Based Sentiment Analysis
    1 hr
    28. Computer Vision Basics – Handwritten Digit Recognition
    1 hr
    29. Recommendation Systems – Collaborative Filtering Basics
    1 hr
    30. Introduction to Reinforcement Learning with Q-Learning
    1 hr
    31. Exploring Generative AI & Large Language Models (LLMs)
    1 hr
    32. Introduction to Prompt Engineering
    1 hr
    33. Applied Prompt Engineering with Modern LLMs
    1 hr
    34. AI Coding Assistants – GitHub Copilot Alternatives
    1 hr
    35. Setting Up & Using Windsurf (AI-Powered IDE) for Code Generation
    1 hr
    1. Introduction to Python
    10 questions
    2. Variables, Memory Model & Data Types
    10 questions
    3. Type Casting, id(), type() & Unicode
    10 questions
    4. Input/Output Operations & Formatting
    10 questions
    5. Python Operators
    10 questions
    6. Conditional Statements in Python
    10 questions
    7. Python Looping Constructs
    10 questions
    8. Loop Control Statements in Python
    10 questions
    9. Functions & Arguments in Python
    10 questions
    10. Python Built-in Functions
    10 questions
    11. Lambda Functions & Functional Programming
    10 questions
    12. Recursion in Python
    10 questions
    13. Modules, Packages & Import Internals
    10 questions
    14. Strings in Python
    10 questions
    15. Python Lists
    10 questions
    16. Tuples in Python
    10 questions
    17. Sets in Python
    10 questions
    18. Dictionaries in Python
    10 questions
    19. Arrays & Comparison of Python Collections
    10 questions
    20. Object-Oriented Programming (OOP)
    10 questions
    21. OOP Fundamentals in Python
    10 questions
    22. Instance, Class & Static Methods in Python
    10 questions
    23. Inheritance, Method Overriding & Polymorphism in Python
    10 questions
    24. Encapsulation, Abstraction & Interfaces in Python
    10 questions
    25. File Handling in Python
    10 questions
    26. OS Module, Path Handling & Directory Operations
    10 questions
    27. Python Exception Handling
    10 questions
    28. Iterators, Generators, Decorators & Multithreading Basics
    10 questions
    29. Introduction to Python for AI/ML
    10 questions
    30. Python Environment Setup, IDEs & Package Management
    10 questions
    31. Working with Virtual Environments & Installing AI/ML Libraries
    10 questions
    32. Types of Data (Numerical & Categorical)
    10 questions
    33. Mean, Median, Mode & Data Distribution
    10 questions
    34. Variance, Standard Deviation, Percentiles & Quartiles
    10 questions
    35. Correlation, Covariance & Probability Basics
    10 questions
    36. Role of Mathematics & Statistics in Machine Learning
    10 questions
    37. Understanding Data Patterns, Bias & Skewness
    10 questions
    38. Interpreting Statistics in AI & ML
    10 questions
    39. Introduction to NumPy
    10 questions
    40. Array Creation, Indexing & Vectorized Operations
    10 questions
    41. Mathematical & Statistical Operations Using NumPy
    10 questions
    42. Introduction to Pandas
    10 questions
    43. Reading Data (CSV, Excel, JSON)
    10 questions
    44. Data Inspection, Cleaning & Handling Missing Values
    10 questions
    45. Filtering, Sorting, Grouping & Aggregation
    10 questions
    46. Data Science vs AI vs Machine Learning
    10 questions
    47. Types of Machine Learning & ML Workflow
    10 questions
    48. Training vs Testing Data & Model Evaluation Basics
    10 questions
    49. Supervised, Unsupervised & Reinforcement Learning
    10 questions
    50. Natural Language Processing & Computer Vision Fundamentals
    10 questions
    51. Recommendation Systems
    10 questions
    52. Generative AI, Large Language Models (LLMs) & Prompt Engineering
    10 questions
    53. GitHub Copilot: Setup, Prompting & AI-Assisted Development
    10 questions
    1. Functions in Python
    6 min
    2. Lambda Functions in Python
    4 min
    3. Recursion in Python
    5 min
    4. Modules and Packages in Python
    4 min
    5. Object-Oriented Programming (OOP) with Python
    7 min
    6. Python Strings
    6 min
    7. Python Tuples
    6 min
    8. Python Dictionary
    3 min
    9. Python Sets
    5 min
    10. Python Lists
    5 min
    11. Introduction to Python
    6 min
    12. Variables & Data Types in Python
    5 min
    13. Operators in Python
    4 min
    14. Conditional Statements in Python
    3 min
    15. Loops in Python
    2 min
    16. Jump Statements in Python
    3 min
    17. File Handling in Python
    4 min
    18. Errors & Exception Handling in Python
    9 min
    19. Introduction to Python for AI
    7 min
    20. Introduction to Python for Data Science
    7 min
    21. Types of Data in Data Science
    6 min
    22. Introduction to NumPy
    5 min
    23. Mathematical NumPy Functions
    5 min
    24. Introduction to Pandas
    5 min
    25. Data Processing with Pandas
    4 min
    26. Data Preprocessing for AI & ML
    5 min
    27. Mathematics & Statistics Fundamentals
    6 min
    28. Probability Data Distributions
    4 min
    29. Correlation, Covariance, and Percentiles
    5 min
    30. Introduction to Machine Learning
    8 min
    31. Supervised and Unsupervised Learning
    5 min
    32. Introduction to Generative AI
    7 min
    33. Introduction to Prompt Engineering
    5 min
    34. GitHub Copilot for AI & Data Science
    7 min
      1. Python Skill Test
    30 questions
      2. Introduction to Python
    15 questions
      3. Type Casting, Object Identity & Unicode Handling
    15 questions
      4. Python Operators & Expressions
    15 questions
      5. Conditional Statements & Boolean Logic in Python
    15 questions
      6. Loop Control Statements in Python
    15 questions
      7. Python Functions, Arguments & Scope
    15 questions
      8. Core Python Data Structures
    15 questions
      9. Object-Oriented Programming (OOP) Basics
    15 questions
      10. File Handling & OS Operations
    15 questions
      11. Exception Handling & Error Management
    15 questions
      12. Python Foundations and Mathematical Concepts for AIML
    15 questions
      13. Statistics, Probability, and Data Distribution for Data Science
    15 questions
      14. NumPy Essentials for Data Analysis and Scientific Computing
    15 questions
      15. Pandas for Data Manipulation, Cleaning, and Preparation
    15 questions
      16. Data Filtering, Sorting, and Grouping Using Pandas
    15 questions
      17. Machine Learning Fundamentals and Workflow
    15 questions
      18. Supervised, Unsupervised, and Reinforcement Learning Techniques
    15 questions
      19. NLP, Computer Vision, and Recommendations
    15 questions
      20. Generative AI, Large Language Models, and Prompt Engineering
    15 questions
      21. AI Developer Tools and Productivity with GitHub Copilot
    15 questions

    Full Stack Python Career Scope

    ₹9 LPA
    Avg package
    44%
    Avg hike
    1000+
    Tech transitions

    Annual Average Salaries

    2.5k
    2k
    1.5k
    1k
    0k
    Min(3L)
    Avg(9L)
    Max(12L)
    Demand
    Demand
    14K+
    Jobs Opening
    ₹9 LPA
    Avg package
    46%
    Avg hike
    4000+
    Tech transitions

    Annual Average Salaries

    2.5k
    2k
    1.5k
    1k
    0k
    Min(4L)
    Avg(9L)
    Max(15L)
    Demand
    Demand
    15K+
    Jobs Opening
    ₹7 LPA
    Avg package
    48%
    Avg hike
    2000+
    Tech transitions

    Annual Average Salaries

    2.5k
    2k
    1.5k
    1k
    0k
    Min(4L)
    Avg(8L)
    Max(12L)
    Demand
    Demand
    30K+
    Jobs Opening
    ₹ 8 LPA
    Avg package
    48%
    Avg hike
    3000+
    Tech transitions

    Annual Average Salaries

    2.5k
    2k
    1.5k
    1k
    0k
    Min(3L)
    Avg(8L)
    Max(15L)
    Demand
    Demand
    14K+
    Jobs Opening
    ₹9 LPA
    Avg package
    44%
    Avg hike
    3000+
    Tech transitions

    Annual Average Salaries

    2.5k
    2k
    1.5k
    1k
    0k
    Min(4L)
    Avg(9L)
    Max(14L)
    Demand
    Demand
    21K+
    Jobs Opening

    Tools

    Java
    Python
    VS Code
    VS Code
    Math Problems
    Math Problems
    Logic Building
    Logic Building
    Debugging
    Debugging
    Star Patterns
    Star Patterns
    OOPs
    OOPs
    My SQL
    MySQL
    IntelliJ IDEA
    IntelliJ IDEA
    HTML
    HTML
    CSS
    CSS
    Bootstrap
    Bootstrap
    JavaScript
    JavaScript
    Django
    Django
    FastAPI
    Fast API
    MVC
    MVC
    GitHub
    GitHub
    Interview Prep
    Interview Prep

    What can you accomplish at the end of training?

    The learning outcomes and professional growth from full-stack development training is as:

    • Secure a Position as a Full-Stack Python Developer
    • Get Your first job in the field of Python
    • Get 60-100% better salaries and packages as a fresher
    • Develop Real World Web Applications end-to-end
    • Master Cutting-Edge Technologies
    • Earn Industry-Recognized Certifications
    • Build a Strong Professional Network
    • Prepare for Technical Interviews

    Pricing and Payment Plans

    Live Training

    • Live Sessions
    • Project(s)
    • Skill Tests (21+)
    43% OFF - Limited Time
    ₹38,665
    ₹21,999
    12 months access to course
    5-Day 100% Money-Back Guarantee*
    MOST POPULAR

    Live Training Plus+

    • Live Sessions
    • Video Courses
    • Projects (2+)
    • Hands-on Labs (35+)
    • Q&A Interview (53+)
    • Skill Tests (21+)
    • Quick Notes (34+)

    Plus Benefits

    Career Coaching - Personalized guidance
    Leadership Sessions - Master executive skills
    40% OFF - Limited Time
    ₹41,666
    ₹24,999
    24 months access to course
    5-Day 100% Money-Back Guarantee*
    For Business

    Corporate Training

    • Expert-led Live Sessions
    • Customized Course Content
    • Flexible Schedule
    • Hands-On Labs
    • Skill Tests
    • Quick Notes
    • Build Real-world Projects
    • Cloud Sandbox
    *Exclusively for corporate — minimum 5 users
    User Groups
    Trusted by 2,00,000+ Thought Developers, Tech Leads and Architects

    100% Money Back Guarantee

    5-Day Money-Back Guarantee: Our training programs are empowering thousands with expert knowledge - they will you too. If you're disappointed for whatever reason, you'll get your 100% refund. We won't make you beg or invoke any silly rules or conditions – if you're not satisfied within your first 5 days then we'll refund you without any fuss. For full details, please refer to our Refund Policy.

    Course Mentors

    Shailendra Chauhan
    10X MICROSOFT MVP AI ARCHITECT

    Shailendra Chauhan

    Microsoft MVP, Founder & CEO at ScholarHat

    17+ Years of Industry Experience as Mentor & Solution Architect
    Expert in .NET, Angular, React & Python
    Azure Cloud & AI/ML/Gen AI Specialist
    Pranit Thakur

    Pranit Thakur

    Technical Consultant and Corporate Trainer

    12+ Years Technical & Corporate Training
    Expert in React, Angular & Node.js
    Passionate Technology Trainer & Mentor

    Our Students are working at companies such as:

    Frequently Asked Questions

    Q1. What is a Python Full Stack Developer?
    A Python Full Stack Developer is a versatile software engineer proficient in both front-end and back-end development using the Python programming language. They have the skills to build a complete web application from scratch, handling everything from the user interface (what you see) to the server, database, and logic that powers the application (what you don't see).
    Q2. Why choose Python for Full Stack Development?
    Python's simplicity, extensive libraries, and frameworks like Django and Flask make it a popular and powerful choice for full-stack development. Its readability ensures cleaner code and faster development cycles. Moreover, Python's versatility allows it to be used for web development, data science, machine learning, and more, making a Python Full Stack Developer a highly sought-after professional.
    Q3. What are the prerequisites for this Full Stack Python Developer course?
    There are no stringent prerequisites for this course. A basic understanding of programming concepts can be beneficial, but not mandatory. Our curriculum is designed to cater to both beginners and those with some prior coding experience, starting from the fundamentals and gradually moving to advanced topics.
    Q4. Will I get practical experience during this Python Full Stack course?
    Absolutely. This is a hands-on Python Full Stack course where you will work on multiple real-world projects. This practical experience is crucial for building a strong portfolio and gaining the confidence to tackle real-world development challenges.
    Q5. What is the career scope after completing a Python Full Stack Developer course?
    The demand for Python Full Stack Developers is consistently high across various industries. Upon completing this course, you can explore roles such as: 1. Full Stack Developer 2. Back-End Developer 3. Python Developer 4. Web Application Developer 5. Software Engineer
    Q6. Do you provide placement assistance with this course?
    Yes, we offer comprehensive placement assistance to all our learners. This includes resume building, mock interviews, and connecting you with our network of hiring partners to help you land your dream job as a Python Full Stack Developer.
    Q1. Can I Attend a Demo Session before Enrolment?
    Yes, you can Attend a Demo Session before Enrolment in angular certification course. It gives you the opportunity to assess whether the training program aligns with your learning objectives. So, don't hesitate! Take advantage of this opportunity and attend a demo session before making your decision.
    Q2. Can I request for a support session if I need to better understand the topics?
    Yes, of course you can request for a support session if you need to better understand the topics. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
    Q3. Who are your mentors?
    All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by ScholarHat to deliver interactive training to the participants.
    Q4. What If I miss my online training class?
    All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.
    Q5. Can I share my course with someone else?
    In short, no. Check our licensing that you agree to by using ScholarHat LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.
    Q6. Do you provide any course material or live session videos?
    Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.
    Q7. Do you provide training on latest technology version?
    Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.
    Q8. Do you prepare me for the job interview?
    Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.
    Q9. Will I get placement assistance after receiving my course completion certificate?
    Yes, you’ll get placement assistance after receiving your course completion certificate. The placement assistance provided by the US will guide you through the job search process, help you polish your resume, and connect you with potential employers. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
    Still have some questions? Let's discuss.
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