1)VARIABLES
2)NUMBERS
3)STRINGS
4)LOGIC AND DATA STRUCTURES
5)LOOPS 
6)FUNCTIONS
7)OOP

1)Introduction and Setup the environment
2)Variables
3)Operations and Priorities
4)Decision Making
5)Loop Control
6)Array and Strings
7)Functions
8)Object-Oriented Programming
9)StorageFiles
10)Database Use Sqlite in Java
11)Multi-Threading
12)Collections
13)Java 8 New features
14)Python UI- Learn Java GUI with JavaFX
15)Python UI- Build

1) Welcome and First Steps
2) HTML Fundamentals
3) CSS Fundamentals
4) Layouts_ Floats, Flexbox, and CSS Grid Fundamentals
5) Web Design Rules and Framework
6) Components and Layout Patterns
7) Omnifood Project _ Setup and Desktop Version
8) Omnifood Project _ Responsive Web Design
9) Omnifood Project _ Effects, Optimizations and Deployment
10) The End! Penetration Testing

Javascript Content

1. Introduction
2. Basics Variables, Data Types, Operators & Functions
3. Efficient Development & Debugging
4. Working with Control Structures (if Statements, Loops, Error Handling)
5. Behind the Scenes & The (Weird) Past (ES3, ES5) & Present (ES6+) of JavaScript
6. More on Functions
7. Working with the DOM (Browser HTML Code) in JavaScript
8. More on Arrays & Iterables
9. More on Objects
10. Classes & Object-oriented Programming (OOP)
11. Deep Dive Constructor Functions & Prototypes
12. Practice OOP & Classes
13. Back to the DOM & More Browser APIs
14. Working with Events
15. Advanced Function Concepts
16. More on Numbers & Strings
17. Async JavaScript Promises & Callbacks
18. Working with Http Requests
19. Working with JavaScript Libraries
20. Modular JavaScript (Working with Modules)
21. JavaScript Tooling & Workflows
22. Utilizing Browser Storage
23. JavaScript & Browser Support
24. Time to Practice Share My Place App
25. Working with JavaScript Frameworks
26. Meta-Programming Symbols, Iterators, Generators, Reflect API & Proxy API
27. Node.js An Introduction
28. Security
29. Deploying JavaScript Code
30. Performance & Optimizations
31. Introduction to Testing
32. Bonus Programming Paradigms (Procedural vs Object Oriented vs Functional)
33. Bonus Data Structures & Algorithms Introduction
34. Bonus TypeScript Introduction
35. Bonus Web Components36. Roundup & Next Steps

Bootstrap Content

1. Getting Started With Bootstrap
2. Photo App Sales Website
3. Portfolio Resume Using SASS
4. Social Network Template
5. Agency Landing Page Using LESS
6. Photo Gallery
7. CMS Admin Template
8. Web Hosting Company Website
9. Ecommerce Template
10. Business Bootstrap Theme
11. Blog Website
12. Whats New in Bootstrap 4
13. Project A complete website

C Language:

1. Welcome to the Course!
2. Introduction to General Programming Fundamentals!
3. Environment Setup – Choosing Your IDE
4. Additional IDEs Setup [Optional Section]
5. Welcome First Program [+3 Full Exercises & Video Solutions]
6. Comments & Format Specification
7. ACADEMIC PRACTICE #1 College Exercises & Solutions – Basics C Programming
8. Variables & Data Types – From Zero To Hero!
9. ACADEMIC PRACTICE #2 College Exercises & Solutions – Variables & Data Types
10. AlphaTech – QUIZ #1
11. Conditions And Control Flow – Is That TrueFalse
12. ACADEMIC PRACTICE #3 College Exercises & Solutions – Conditions & Control Flow
13. Loops – For, While, And Do-While
14. ACADEMIC PRACTICE #4 College Exercises & Solutions – Loops in C
15. Functions – Don’t Get Scared! It’s Kind Of Fun!
16. ACADEMIC PRACTICE #5 College Exercises & Solutions – Functions in C
17. Arrays – Concept & 1D Arrays
18. 1D Arrays – Intermediate Level Exercises
19. Matrix – 2D Arrays
20. Pointers – Wooha!
21. Strings In General And In C Programming
22. ACADEMIC PRACTICE #7 College Exercises & Solutions – Strings in C
23. Recursions Recursions Recursions!!
24. Recursions in C – Academic Practice
25. Structs – Additional Content in C Programming
26. Unions – Additional Content C Programming Language
27. Constants
28. Extra [Optional] – Linked Lists Practice!
29. Interview Questions!
30. Bonus – Congratulations!

C++ Language

1. Introduction
2. Installation and Setup
3. Curriculum Overview
4. Getting Started
5. Structure of a C++ Program
6. Variables and Constants
7. Arrays and Vectors
8. Statements and Operators
9. Controlling Program Flow
10. Characters and Strings
11. Functions
12. Pointers and References
13. OOP – Classes and Objects
14. Operator Overloading
15. Inheritance
16. Polymorphism
17. Smart Pointers
18. Exception Handling
19. IO and Streams
20. The Standard Template Library (STL)
21. Bonus Material and Source Code

1)Introduction and Setup
2)Port and Vulnerability Scanning
3)SSH and FTP Attacks
4)Password Cracking
5)Sniffers, Flooders and Spoofers
6)Coding DNS Spoofer
7)Network Analysis
8)Multi-functioning Reverse Shell
9)Coding a Keylogger
10)Command and Control Center

1. Introduction and Setup
2. V8 The Javascript Engine
3. The Node Core
4. Modules, Exports, and Require
5. Events and the Event Emitter
6. Asynchronous Code, libuv, The Event Loop, Streams, Files, and more…
7. HTTP and being a Web Server
8. NPM the Node Package Manager
9. Express
10. Javascript, JSON, and Databases
11. The MEAN stack
12. Let’s Build an App! (in record time)

1) INTRODUCTION
2) React Basics
3) Tiny practice – Who pays the bill_
4) React Router
5) React basics part 2
6) REDUX
7) Tiny practice – The Daily News
8) Forms
9) Final Touches
10) Node Basics
11) Web Server
12) Databases
13) Authentication
14) Final Practice Project
15) Extending the Final Project
16) React Basics
17) Project_music DB
18) React specific topics
19) Project_NBA
20) Working with REDUX
21) Working with Forms
22) Starting with Node JS
23) Node Server
24) Databases with Mongo DB
25) Authentication
26) Deploying
27) Project_ The Book Shelf

1. Introduction
2. Data Science & Machine Learning Concepts
3. Python For Data Science
4. Statistics for Data Science
5. Probability & Hypothesis Testing
6. NumPy Data Analysis
7. Pandas Data Analysis
8. Python Data Visualization
9. Machine Learning
10. Data Loading & Exploration
11. Data Cleaning
12. Feature Selecting and Engineering
13. Linear and Logistic Regression
14. K Nearest Neighbors
15. Decision Trees
16. Ensemble Learning and Random Forests
17. Support Vector Machines
18. K-means
19. PCA
20. Data Science Career