Become a Python Full Stack Developer from Zero to Hero 2026

Source: https://www.udemy.com/course/full-stack-python-with-generative-and-agentic-ai/

What you’ll learn

  • Understand how the web works (frontend basics)
  • Learn the structure of websites using HTML
  • Build webpages from scratch step by step
  • Create webpages using HTML elements and attributes
  • Use headings, paragraphs, and text formatting tags
  • Implement links and navigation (same page & external)
  • Add images, multimedia, and lists
  • Design tables with multiple layouts
  • Build forms with input elements and validations
  • Understand semantic HTML for modern web design
  • Style webpages using CSS properties and selectors
  • Master CSS Box Model and spacing techniques
  • Work with fonts, colors, and text styling
  • Control layouts using display and positioning
  • Build responsive layouts using Flexbox
  • Create advanced layouts using CSS Grid
  • Use alignment, gaps, and advanced selectors
  • Design real-world UI components (Navbar, Pricing Layout)
  • Understand JavaScript fundamentals and syntax
  • Work with variables, data types, and operators
  • Use conditional statements (if, else, nested if)
  • Implement loops for dynamic behavior
  • Debug JavaScript code effectively
  • Work with arrays and array methods
  • Create reusable functions
  • Understand objects and data structures
  • Learn DOM manipulation (complete hands-on)
  • Build interactive webpages dynamically
  • Understand synchronous vs asynchronous behavior
  • Work with callbacks and avoid callback hell
  • Learn Promises (then, catch)
  • Master Async/Await for modern JavaScript
  • Set up Bootstrap and understand its components
  • Use Bootstrap grid system for responsive layouts
  • Work with typography, colors, and utilities
  • Build navigation bars and layouts
  • Create UI components like cards, accordions, lists
  • Design forms with inputs, checkboxes, radios
  • Use dropdowns and icons effectively
  • Understand React fundamentals and architecture
  • Set up React environment and project structure
  • Learn JSX and component-based development
  • Work with props for data passing
  • Manage state effectively
  • Use hooks (useEffect) for lifecycle handling
  • Handle events and dynamic rendering
  • Work with lists and keys
  • Implement forms in React applications
  • Understand prop drilling and Context API
  • Implement routing using React Router
  • Build dynamic and scalable React applications
  • Understand databases, DBMS, and RDBMS concepts
  • Work with MySQL and relational databases
  • Learn SQL data types and table creation
  • Perform CRUD operations (INSERT, SELECT, etc.)
  • Write advanced SELECT queries
  • Work with JOINS (Inner, Left, Right, Full, Cross)
  • Use aggregate and string functions
  • Apply GROUP BY and HAVING clauses
  • Work with date, time, and numeric functions
  • Understand constraints and table modifications
  • Write subqueries (scalar, row, table, correlated)
  • Use window functions for advanced queries
  • Learn stored procedures
  • Understand variables, data types, and operators
  • Use conditional statements and debugging techniques
  • Work with loops (while, for, nested loops)
  • Learn break, continue, and control flow
  • Work with lists (all operations)
  • Understand tuples, sets, and dictionaries
  • Master string operations and formatting (f-strings)
  • Write list comprehensions
  • Build reusable functions
  • Understand local & global variables
  • Work with arguments (*args, **kwargs)
  • Use lambda, map, and filter functions
  • Work with modules and reusable code
  • Understand OOP concepts and class structure
  • Work with constructors and self keyword
  • Use instance and class variables
  • Learn types of methods
  • Implement inheritance
  • Understand polymorphism
  • Apply encapsulation and abstraction
  • Handle exceptions (error handling)
  • Work with file handling
  • Understand iterators and generators
  • Use decorators for advanced logic
  • Work with 1D, 2D, and 3D arrays
  • Understand NumPy performance advantages
  • Create arrays using different methods
  • Apply indexing and slicing
  • Use reshape, flatten operations
  • Work with mathematical and statistical functions
  • Perform aggregation and filtering
  • Join and split arrays
  • Understand Series and DataFrames
  • Read data from CSV files
  • Perform data cleaning and preprocessing
  • Handle missing data (dropna, fillna)
  • Work with date-time data
  • Replace and transform values
  • Remove duplicates
  • Perform group-by operations
  • Create basic plots and visualizations
  • Customize charts for better insights
  • Create scatter plots, bar plots, histograms
  • Build box plots and line plots
  • Generate professional data visualizations

Requirements

  • No prior programming experience is required – this course starts from basics
  • Basic computer knowledge (how to use a computer and internet)
  • A laptop or desktop (Windows / Mac / Linux)
  • Stable internet connection
  • Willingness to learn and practice consistently

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