WordPress course for beginners: 

• Introduction To WordPress

•  ‎How WordPress Works?

  • Step 1: Download WordPress. Download the WordPress package to your local computer
  • Step 2: Create MySQL database and user. …
  • Step 3: Configure wp-config. …
  • Step 4 Run the installation. …
  • Step 5: Complete the installation.

1. Using the WordPress dashboard
2. Add themes
3. Add plugins
4. Creating a website
5. Improving SEO
6. Starting an eCommerce site
7. Upload WordPress to hosting account

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Level 1: Programming Fundamentals with C# (30 Hours)

– Introduction to C# and the .NET platform

– Variables, data types, and control structures

– Object-Oriented Programming (OOP)

– Working with collections and LINQ

– Async programming (async/await)

Level 2: Web Development with ASP.NET Core MVC (20 Hours)

– MVC Pattern

– Project architecture

– Controllers & Views

– Razor & ViewModels

– Authentication & Authorization

– Dependency Injection

Level 3: RESTful APIs with ASP.NET Core Web API (15 Hours)

– REST & HTTP methods

– Web API Controllers

– Model binding & validation

– JWT Authentication

– Swagger

Level 4: Database Integration using EF Core (16 Hours)

– EF Core basics

– Code First & Database First

– CRUD operations

– LINQ

– Stored Procedures

Level 5: Full Practical Project (15 Hours)

– Full stack project

– Multi-layer architecture

– Postman testing

– Hosting & GitHub

Course Features:

– 100% Practical

– Live & Recorded sessions

– Real projects

– Digital Certificate

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History

why python?
python with AI and ML
Input & Output
Variables
Boolean & Comparison and Logic
If Conditions
For Loops
Data types

• Strings
• Lists
• Tuples
• Sets
• Dictionaries

Numbers & Math
Built-in functions & Operators (zip, enumerate, range, …)
Functions
Variables Scope
Anaconda Environment
Jupyter Notebook
Command Line
Git & GitHub
GPU And Google Colab
Object-Oriented Programming (OOP)

• Classes & Objects
• Data Hiding and Encapsulation
• Inheritance
• Exceptions

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Photoshop CS5
Outlines:
-Workspace.
-Understanding and opening images.
-Color fundamentals.
-Color and tonal adjustments.
-Retouching and transforming.
-Selecting and masking.
-Layers.
-Painting.
-Drawing Paths.
-Filters.
-Type.
-Saving and exporting images.

Adobe Photoshop ( for photography ) – 25 (HRS)

Adobe Photoshop ( for web ) – 25 (HRS)

Adobe Photoshop (Architecture ) – 25 (HRS)

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Matlab level (1)
Session 1
What is matlab ?
Defining array and matrix operation ,how to use matlab help
Session 2
Concatenation , using linspace, indexing into array,advanced array operations using indexing
Session 3
Dealing with images and sound
Session 4
Using matlab function, 2-D,3-D plotting
Seesion 5
Program flow control( loop,conditional ,error control)
Programming and debugging M-files (creating M-file )
Session 6
Introduction to GUI
Session 7
Some applications about communication application using M-files

Matlab ( level 2 ) – 25 (HRS)

Matlab level (2)
Matlab(simulink)for communication department
1- Introduction to simulink
2- Simulink signal management
3- Signal procssing
4- Communication (part1) (analog communication)
5- Communication (part 2)(digital communication )
6- Communication(part3 )(communication systems)

Matlab (simulink) for power department

1- simulink basics
2- application In electrical circuits
3- application in power electronics

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Module 01- Introduction to Linux certificate
Module 02- Introduction to Linux+
Module 03- Linux Shell
Module 04- Exploring Shell Configuration Files
Module 05- Environment Variable & Help
Module 06- Aliases
Module 07- Redirection & Piping
Module 08- File Management & Working with Directories
Module 09- Create & manage links
Module 10- File system Hierarchy Standard
Module 11- Installation Planning & procedures
Module 12- Booting Linux & Boot Loaders
Module 11- Installation Planning & procedures
Module 12- Booting Linux & Boot Loaders
Module 13- Run Levels
Module 14- Init Scripts
Module 15- System Shutdown
Module 16- Software Installation

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• Introduction To Java
• Data Types, Variables, Types of Errors
• Integer Division, Type Casting, Incrementing and decrementing
• Input, Output and Developing a Java program
• Operators (Arithmetic, Logical, Relational)
• Decision Statements (IF-Statements, Switch Statements, Conditional Statements).
• Control Flow Statements (For-loop, While-loop, Do-while loop).
• Methods (Built-In Methods and User-Defined Methods).
• Overloading and Recursion.
• Arrays (One dimensional – Two dimensional).
• Dynamic Arrays and Array Lists.
• Different Sorting Algorithms and Complexity.
• Data Structures Stack and Queues in Java
• Classes and Objects
• Introduction To Graphical User Interface

Java Advanced Level 24 Hours

• Review on Classes and Objects
• Object Oriented Programming basic concepts
• Inheritance, Polymorphism and Interface
• Composition, Aggregation and Association
• Files (Sequential, Binary and Random).
• Exceptions Handling (Try and Catch).
• Random Data and Random Class.
• Java Swings (JFrames, JPanels).
• Java GUI Main Components and Containers.
• Java GUI Borders, Layouts, Colors.
• Java GUI Radio Buttons and Check boxes.
• Java GUI Lists, Combo boxes.
• Java GUI Text Fields and Text Areas.
• Java GUI Sliders, Labels and images.
• Java GUI Menus and Menu Bars.
• Java Applets and Create a website from java application.
• Drawing basic shapes and timer using Java Applets.
• Developing X-O and Snake Games.
• Threads and Introduction to MySql with Java.

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Module one: Python

why python?
python with AI and ML
Input & Output
Variables
Data types
Boolean & Comparison and Logic
If Conditions
For Loops
Built-in functions & Operators
Numbers & Math
Functions
Variables Scope
Modules
Command Lines
File Handling
Anaconda Environment
Jupyter Notebook
GPU And Google Colab
Object-Oriented Programming (OOP)

Module Two: Artificial Neural Networks

Difference between AI, DL, ML and ANN

Introduction to Neural Networks

Binary Classification

Logistic Regression

Gradient Descent

Deep layer neural network

Forward and Backward Propagation

Regularization and Dropout

Adam optimization algorithm

Tuning process

Multi Classification with Deep Learning

Deep Learning with TensorFlow And Keras

Transfer learning

Projects

Module Three: Convolutional Neural Networks

Introduction to Computer Vision

CNN Architecture

Padding & Strided Convolutions

Pooling Layers

Convolutional Neural Networks & Datasets

Object Detection

Non-max Suppression

YOLO Algorithm

Face Verification and Binary Classification

Docker Container

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This developer training course covers C#, Microsoft’s managed C-style language for the .Net Framework. In typical Jump Start fashion, this session will be engaging and demo rich. Microsoft Technical Evangelist Jerry Nixon and the co-founder of Crank211, Daren May, provide sample after sample to show simple and complex techniques you can take back to your

01 | Object Oriented Programming, Managed Languages and C#
02 | Constructing Complex Types; Object Interfaces and Inher…
03 | Controlling Programmatic Flow; Manipulating Types and S…
04 | Code Reflection and Information; Working with Garbage C…
05 | Advanced C#, Type and Value Validation; Encryption Tech…
06 | Splitting Assemblies and WinMD; Diagnostics and Instrum…
07 | Interacting with the File System; Leveraging Web Servi…
08 | Using LINQ to Objects and XML; Fundamentals of Serializ…

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