next, Bootstrap course

https://www.youtube.com/watch?v=FXiV6v9j5hs

Next, JavaScript Full course

https://www.youtube.com/watch?v=jF5oxeeuu6E

Does this happen in Emmersive Video's ?😊😂😂

Master Computer Science:

The CS Tree 👇
|
|── CS Fundamentals
| ├── Algorithms and Data Structures
| ├── Computational Complexity
| ├── Binary Representation
| ├── Boolean Logic
| └── Number Systems
|
|── Programming Paradigms
| ├── Imperative Programming
| ├── Declarative Programming
| ├── Object-Oriented Programming (OOP)
| ├── Functional Programming
| └── Logic Programming
|
|── Software Development
| ├── Requirements Analysis
| ├── Software Design Patterns
| ├── Software Testing
| ├── Version Control (e.g., Git)
| └── Software Development Life Cycle (SDLC)
|
|── Computer Architecture
| ├── Central Processing Unit (CPU)
| ├── Memory Hierarchy
| ├── Instruction Set Architecture
| └── Computer Organization
|
|── Operating Systems
| ├── Processes and Threads
| ├── Memory Management
| ├── File Systems
| └── Scheduling Algorithms
|
|── Computer Networks
| ├── OSI Model
| ├── TCP/IP Protocol Suite
| ├── Routing and Switching
| └── Network Security
|
|── Databases
| ├── Relational Databases
| ├── NoSQL Databases
| ├── Database Design
| └── Query Languages (e.g., SQL)
|
|── Artificial Intelligence (AI)
| ├── Machine Learning
| ├── Neural Networks
| ├── Natural Language Processing (NLP)
| └── Computer Vision
|
|── Algorithms
| ├── Sorting Algorithms
| ├── Searching Algorithms
| ├── Graph Algorithms
| └── Dynamic Programming
|
|── Data Structures
| ├── Arrays and Linked Lists
| ├── Stacks and Queues
| ├── Trees and Graphs
| └── Hash Tables
|
|── Compiler Design
| ├── Lexical Analysis
| ├── Syntax Analysis
| ├── Semantic Analysis
| └── Code Generation and Optimization
|
|── Cybersecurity
| ├── Cryptography
| ├── Network Security
| ├── Ethical Hacking
| └── Security Protocols
|
|── Human-Computer Interaction (HCI)
| ├── User Interface (UI) Design
| ├── Usability Principles
| └── Interaction Design
|
|── Software Engineering
| ├── Software Architecture
| ├── Requirements Engineering
| ├── Software Quality Assurance
| └── DevOps Practices
|
|── Web Development
| ├── Frontend Development
| ├── Backend Development
| ├── Web Frameworks (e.g., Django, Ruby on Rails)
| └── RESTful APIs
|
|── Cloud Computing
| ├── Infrastructure as a Service (IaaS)
| ├── Platform as a Service (PaaS)
| ├── Software as a Service (SaaS)
| └── Cloud Deployment Models
|
|── Big Data
| ├── Hadoop and MapReduce
| ├── Spark and Apache Flink
| └── Big Data Analytics
|
|── Mobile App Development
| ├── iOS Development
| ├── Android Development
| ├── Cross-Platform Development (e.g., Flutter)
| └── Mobile App Design
|
|── Quantum Computing
| ├── Quantum Gates and Circuits
| ├── Quantum Algorithms
| └── Quantum Programming Languages
|
|── Internet of Things (IoT)
| ├── IoT Architecture
| ├── IoT Protocols
| └── IoT Security
|
|── Emerging Technologies
| ├── Blockchain
| ├── Augmented Reality (AR)
| └── Virtual Reality (VR)
|
|── CS Ethics
| ├── Privacy
| ├── Intellectual Property
| ├── Ethical Hacking
| └── Responsible AI
|
|── Computer Science Education and Careers
| ├── Degrees and Certifications
| ├── Career Paths
| └── Continuous Learning
|
|── Computer Science Community and Resources
| ├── Online Forums and Communities
| └── Research Journals and Conferences
|
|____________ END __________________

https://t.me/EmmersiveLearning

Master C#:

The C# Tree 👇
|
|── C# Basics
| ├── Installation and Setup
| ├── Variables and Data Types
| ├── Operators
| └── Control Flow (if, else, switch)
|
|── C# Functions
| ├── Function Declaration
| ├── Parameters and Return Types
| └── Lambda Expressions
|
|── Object-Oriented Programming (OOP) in C#
| ├── Classes and Objects
| ├── Inheritance
| ├── Polymorphism
| ├── Encapsulation
| └── Abstract Classes and Interfaces
|
|── C# Collections
| ├── Arrays
| ├── Lists
| ├── Dictionaries
| └── LINQ (Language Integrated Query)
|
|── Exception Handling in C#
| ├── Try-Catch Blocks
| ├── Finally Block
| └── Custom Exceptions
|
|── C# File I/O
| ├── Reading and Writing Files
| ├── FileStream and StreamReader/StreamWriter
| └── Serialization and Deserialization
|
|── Asynchronous Programming in C#
| ├── Async and Await
| ├── Task Parallel Library (TPL)
| └── Asynchronous File I/O
|
|── C# LINQ (Language Integrated Query)
| ├── LINQ Basics
| ├── LINQ to Objects
| └── LINQ to SQL
|
|── Windows Forms App Development
| ├── Creating Windows Forms
| ├── Event Handling
| └── Controls and Components
|
|── WPF (Windows Presentation Foundation)
| ├── XAML Basics
| ├── Data Binding
| └── MVVM (Model-View-ViewModel)
|
|── ASP .NET Web Forms
| ├── Web Forms Basics
| ├── ASP .NET Controls
| └── State Management
|
|── ASP .NET MVC (Model-View-Controller)
| ├── MVC Architecture
| ├── Controllers and Actions
| └── Views and Razor Syntax
|
|── ASP .NET Core
| ├── Building a Basic ASP .NET Core App
| ├── Middleware
| └── Dependency Injection
|
|── Web API Development with C#
| ├── Creating RESTful APIs
| ├── Routing and Controllers
| └── Authentication and Authorization
|
|── Entity Framework (Database Access)
| ├── Code-First Approach
| ├── Database Migrations
| └── LINQ Queries with EF
|
|── C# Unit Testing
| ├── MSTest
| ├── NUnit
| └── xUnit
|
|── C# Design Patterns
| ├── Singleton Pattern
| ├── Factory Pattern
| └── Observer Pattern
|
|── C# Dependency Injection
| ├── Dependency Injection Basics
| ├── DI Containers (e.g., Autofac, Unity)
| └── Constructor Injection
|
|── C# Best Practices
| ├── Coding Conventions
| ├── Exception Handling Best Practices
| └── Performance Optimization
|
|── .NET Core and .NET 5/6
| ├── .NET Core vs. .NET Framework
| └── Transitioning to .NET 5/6
|
|── Blazor WebAssembly
| ├── Blazor Basics
| ├── Components and Data Binding
| └── Routing in Blazor
|
|── Xamarin.Forms (Cross-Platform Mobile App Development)
| ├── Xamarin.Forms Basics
| ├── XAML in Xamarin.Forms
| └── MVVM in Xamarin.Forms
|
|── C# Community and Resources
| ├── Official Documentation
| └── Stack Overflow and Community Forums
|
|_______ END ______________

https://t.me/EmmersiveLearning

#CSharp #roadmap

15 Youtube Channels to Learn for FREE 📺👇

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🔹 The Coding Train
🔹 Ben Awad
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https://t.me/EmmersiveLearning

ሰላም ቤተሰቦች!

እስኪ ደሞ አንዴ ትብብር!

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የሚበረተታቱ ፤ መስተካከል ያለባቸውን ነገሮች ፤ ምን ላይ አጠናክረን መቀጠል እንዳለብን እና አጠቃላይ ማንኛውንም አስተያየት ብትሰጡን ደስ ይለናል።

🙏🙏

Good Morning!

#NewVideo

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Master Machine Learning:

The ML Tree 👇
|
|── Introduction to Machine Learning (ML)
| ├── Definition and Importance
| ├── Types of ML (Supervised, Unsupervised, Reinforcement)
| └── Applications of ML
|
|── Supervised Learning
| ├── Regression
| ├── Classification
| └── Model Evaluation Metrics
|
|── Unsupervised Learning
| ├── Clustering
| ├── Dimensionality Reduction
| └── Association Rule Learning
|
|── Reinforcement Learning Basics
| ├── Markov Decision Processes (MDP)
| ├── Rewards and Policies
| └── Exploration vs. Exploitation
|
|── Neural Networks and Deep Learning
| ├── Perceptron
| ├── Activation Functions
| ├── Multi-layer Perceptron (MLP)
| └── Convolutional Neural Networks (CNN)
|
|── Natural Language Processing (NLP)
| ├── Text Preprocessing
| ├── Tokenization
| ├── Named Entity Recognition (NER)
| └── Sentiment Analysis
|
|── Computer Vision
| ├── Image Processing
| ├── Feature Extraction
| ├── Object Detection
| └── Image Classification
|
|── Ensemble Learning
| ├── Bagging (Bootstrap Aggregating)
| ├── Boosting
| └── Random Forests
|
|── Model Evaluation and Selection
| ├── Cross-Validation
| ├── Bias-Variance Tradeoff
| └── Hyperparameter Tuning
|
|── Feature Engineering
| ├── Feature Scaling
| ├── Feature Selection
| └── Handling Categorical Data
|
|── Time Series Analysis
| ├── ARIMA (AutoRegressive Integrated Moving Average)
| ├── Exponential Smoothing
| └── LSTM (Long Short-Term Memory)
|
|── Anomaly Detection
| ├── Statistical Methods
| ├── Machine Learning Approaches
| └── Real-world Applications
|
|── Model Deployment
| ├── Flask API
| ├── Dockerization
| └── Cloud Deployment (e.g., AWS, Azure)
|
|── Explainable AI (XAI)
| ├── Local Interpretability Methods
| ├── Global Interpretability Methods
| └── Importance of Explainability
|
|── AutoML (Automated Machine Learning)
| ├── Automated Feature Engineering
| ├── Hyperparameter Optimization
| └── Model Selection
|
|── Bias and Fairness in ML
| ├── Types of Bias
| ├── Fairness Metrics
| └── Mitigating Bias in Models
|
|── Transfer Learning
| ├── Pre-trained Models
| ├── Fine-tuning
| └── Domain Adaptation
|
|── Time Series Forecasting
| ├── ARIMA (AutoRegressive Integrated Moving Average)
| ├── Prophet
| └── Neural Networks for Time Series
|
|── Reinforcement Learning Algorithms
| ├── Q-Learning
| ├── Deep Q Network (DQN)
| └── Policy Gradient Methods
|
|── Machine Learning with Scikit-Learn
| ├── Basic Usage
| ├── Data Preprocessing
| └── Model Training and Evaluation
|
|── Machine Learning with TensorFlow and PyTorch
| ├── Building Neural Networks
| ├── Training and Transfer Learning
| └── Deployment with TensorFlow Serving
|
|── Machine Learning in Industry
| ├── Healthcare
| ├── Finance
| ├── Marketing
| └── Manufacturing
|
|── Future Trends in Machine Learning
| ├── Federated Learning
| ├── Explainable and Ethical ML
| └── ML in Edge Computing
|
|── Machine Learning Community and Resources
| ├── Conferences and Journals
| └── Online ML Communities
|
|___ END __

Coding isn't just a skill. It's a superpower that unlocks endless possibilities in technology and beyond 💪🧙‍♂️

With coding, you can 👇👇

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@EmmersiveLearning

Code the world!.