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
Download Links
Password: cms.ddpanda.org
Archive: 7F9ED429[ddpanda]
Verify to Access Download Links
Please wait for cloudflare turnstile to load.












