Software testing
Software testing is a process that involves evaluating a software application to ensure that it works as intended and meets the required standards. The goal of software testing is to identify defects or bugs.
Requirements:
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- Basic Understanding of Software Development
- Knowledge of Basic Computer Skills
C Programming Fundamentals
A comprehensive guide to C programming fundamentals, covering everything from basic syntax to advanced concepts like memory management, debugging, and real-world embedded applications.
Requirements:
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- Prerequisites to Read This Book
- Basic Computer Knowledge – Understanding of how a computer processes instructions.
- Mathematical Foundations – Familiarity with basic arithmetic and logic.
Learn Basic Python
A comprehensive guide to mastering Python, covering everything from basics to advanced concepts like OOP, exception handling, libraries, and real-world applications.
Requirements:
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- Basic computer literacy – Understanding how to navigate files, install software, and use a text editor.
- Logical thinking and problem-solving skills – Programming requires analytical skills to solve problems efficiently.
- Basic mathematics knowledge – Familiarity with basic arithmetic and logic operations.
Java Programming Basics
A comprehensive guide to Java programming, covering foundational to advanced concepts, including OOP, multithreading, file handling, best practices, and modern Java techniques.
Requirements:
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- Basic Computer Literacy: Ability to navigate files, install software, and use a text editor or IDE.
- Familiarity with Programming Concepts (Recommended but not mandatory): Understanding of variables, loops, and functions from any programming language like Python or C.
- Mathematical Thinking: Basic logic, problem-solving, and understanding of Boolean algebra will be helpful.
Artificial Intelligence Applications
This course explores real-world AI applications across industries, covering healthcare, finance, business, robotics, cybersecurity, smart homes, entertainment, law, and future AI trends with ethical considerations.
Requirements:
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- Basic knowledge of artificial intelligence concepts (not mandatory but helpful).
- A general understanding of technology, computing, or business applications.
- An interest in how AI is transforming industries and society.
HTML Essentials
A complete beginner-to-advanced guide to HTML, covering webpage structure, text formatting, links, forms, layouts, multimedia, SEO, and best practices to build and deploy fully functional websites.
Requirements:
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- 🔹 Have basic computer literacy – Understanding how to use a text editor and browse the internet.
- 🔹 No prior coding experience required – This course starts from scratch.
- 🔹 A willingness to practice – Web development requires hands-on experimentation.
Data Analysis with Python
A complete guide to Data Analysis with Python, covering data manipulation, visualization, statistical analysis, machine learning, automation, and Big Data processing to extract insights and make data-driven decisions.
Requirements:
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- 🔹 Basic Python programming knowledge, including variables, loops, and functions.
- 🔹 Familiarity with Jupyter Notebook, VS Code, or other Python environments (recommended but not required).
- 🔹 Basic understanding of mathematics and statistics, including averages, probability, and linear algebra concepts.
JavaScript for Beginners
A beginner-friendly guide to mastering JavaScript, covering core concepts, functions, objects, DOM manipulation, APIs, asynchronous programming, and real-world project development.
Requirements:
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- 🔹 Basic computer skills (file management, installing software).
- 🔹 Familiarity with HTML and CSS (basic knowledge of elements, styles, and layouts).
- 🔹 Logical thinking and problem-solving skills (helps with debugging and writing structured code).
Deep Learning with Neural Networks
A comprehensive guide to Deep Learning, covering neural networks, CNNs, RNNs, transformers, reinforcement learning, and ethical AI, with real-world applications in NLP, vision, and autonomous systems.
Requirements:
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- 🔹 Basic knowledge of Python programming (loops, functions, data structures).
- 🔹 Familiarity with linear algebra, calculus, and probability (for understanding neural networks).
- 🔹 Basic Machine Learning knowledge, including classification, regression, and supervised learning.
NodeJS
A complete guide to Node.js backend development, covering setup, APIs, databases, authentication, real-time communication, deployment, and scaling, with hands-on examples for modern web applications.
Requirements:
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- 🔹 Basic knowledge of JavaScript (variables, functions, ES6 concepts).
- 🔹 Familiarity with HTML and CSS for frontend interactions.
- 🔹 Understanding of basic HTTP concepts (requests, responses, status codes).
Machine Learning Essentials
Learn Machine Learning from scratch to advanced! Master Supervised & Unsupervised Learning, Deep Learning, NLP, and Reinforcement Learning with Python. Apply ML in real-world projects! 🚀
Requirements:
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- ✅ Basic Math Knowledge – Understanding of algebra, probability, and basic statistics
- ✅ Basic Python Skills – Some familiarity with Python syntax (loops, functions, lists, etc.)
- ✅ No Prior ML Experience Needed! – This course starts from the basics and gradually moves to advanced concepts
CSS for Modern Web Design
Master CSS from beginner to advanced levels! Learn layouts, responsive design, animations, and best practices. Build modern, stylish, and interactive web pages with hands-on projects and real-world examples.
Requirements:
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- 🔹 Basic HTML Knowledge – Understanding HTML structure is recommended.
- 🔹 No Prior CSS Experience Needed – This course starts from scratch.
- 🔹 A Web Browser (Chrome, Firefox, Edge, etc.) – To test and debug CSS code.
Mastering CSS: From Beginner to Advanced
Learn CSS from scratch and become a pro at designing stunning, responsive websites. This course covers everything from the basics to advanced techniques like Flexbox, Grid, animations, and more!
Requirements:
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- ✔ Basic understanding of HTML
- ✔ A code editor (e.g., VS Code, Sublime Text)
- ✔ A web browser (Chrome, Firefox, Edge)
SQL for Data Science
This course is designed to introduce students to the fundamentals of SQL with a focus on its application in data science. By the end of the course, you will be able to extract, filter, and manipulate data.
Requirements:
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- Basic understanding of computers and databases.
- No prior experience with SQL is required, but familiarity with data and statistics concepts is helpful.
- A laptop or desktop with internet access.
Learn Laravel From Scratch
Laravel is the most famous php framework and it is fun to work with laravel.
Requirements:
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- HTML, CSS, PHP
Data Science Masters Course
Data Science is the branch of study that integrates programming abilities, subject-matter expertise, and competence in statistics and mathematics to draw valuable insights from data.
Requirements:
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- Data Science
- Artificial Intelligence (AI)
- MLOps
Become master of PHP
Everything you need to know about PHP, becomes nob to the pro programmer, example project included.
Requirements:
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- HTML knowledge
- CSS Knowledge
- Browser Run Knowledge
