Free Download Full-Stack Python with Generative and Agentic AIPublished 3/2026
Created by Uday Academy
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 252 Lectures ( 68h 8m ) |
Size: 34.56 GB
✓ 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
DescriptionAre you ready to become a Full Stack Developer and Python Expert from scratch?
This course is a complete all-in-one program designed to take you from beginner to job-ready professional by covering Web Development, Backend Concepts, and Data Science fundamentals - all in a single course.
Whether you are a student, working professional, or someone looking to switch careers into IT, this course gives you everything you need.
What Makes This Course Unique?
Unlike other courses that focus only on one technology, this course provides a comprehensive learning path covering
• Frontend Development - HTML, CSS, JavaScript
• Modern UI Development - Flexbox, Grid, Bootstrap
• Advanced JavaScript Concepts - DOM, Async, Promises
• React JS - Build modern, scalable applications
• Database - SQL & MySQL with real-world queries
• Python Programming - From basics to advanced
• Data Analysis - NumPy and Pandas
• Data Visualization - Matplotlib and Seaborn
This is a complete Full Stack, Python, and Data course in one place.
What You Will Build
• Responsive websites using HTML, CSS, and Bootstrap
• Interactive web applications using JavaScript
• Real-world applications using React JS
• Database-driven applications using SQL
• Python programs with practical use cases
• Data analysis projects using NumPy and Pandas
• Data visualizations using Matplotlib and Seaborn
Who Should Take This Course?
• Beginners with no coding experience
• Students preparing for IT jobs and placements
• Professionals planning a career switch into software development
• Anyone who wants to learn Full Stack, Python, and Data skills together
Skills You Will Gain
• Full Stack Web Development
• Frontend Development (HTML, CSS, JavaScript, React)
• Backend and Database Knowledge (SQL)
• Python Programming (Beginner to Advanced)
• Data Analysis and Visualization
Why Learn From This Course?
• Step-by-step structured learning approach
• Beginner-friendly explanations
• Real-time examples and practical implementation
• Covers multiple career paths in one course
• Designed to make you job-ready
By the End of This Course
You will be able to
• Build complete web applications from scratch
• Work with modern technologies like React and Python
• Handle real-world data using SQL and Pandas
• Create professional projects for your portfolio
• Confidently attend developer interviews
This Course Is Perfect If You Want
• A complete roadmap to become a developer
• To avoid buying multiple courses
• To learn Full Stack, Python, and Data Science together
• To become job-ready with practical skills
Enroll now and start your journey to becoming a Full Stack Developer and Python Expert.
Who this course is for■ Beginners with no coding experience who want to start from scratch
■ Students who want to become Full Stack Developers
■ Anyone looking to learn Web Development + React + Python + SQL in one course
■ Working professionals planning a career switch into IT / Software
■ Developers who want to strengthen fundamentals and build real-world projects
■ College students preparing for placements and technical interviews
■ Freelancers who want to build websites and web applications for clients
■ Learners interested in Python + Data Analysis + Visualization
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