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Web-Dev-For-Beginners

Sun, 02 Nov 2025 15:27:12 +0800

microsoft/Web-Dev-For-Beginners

Web Development for Beginners - A Curriculum

Learn the fundamentals of web development with our 12-week comprehensive course by Microsoft Cloud Advocates. Each of the 24 lessons dives into JavaScript, CSS, and HTML through hands-on projects like terrariums, browser extensions, and space games. Engage with quizzes, discussions, and practical assignments. Enhance your skills and optimize your knowledge retention with our effective project-based pedagogy. Start your coding journey today!

Join the Azure AI Foundry Discord Community

Follow these steps to get started using these resources:

Fork the Repository: Click
Clone the Repository: git clone https://github.com/microsoft/Web-Dev-For-Beginners.git
Join The Azure AI Foundry Discord and meet experts and fellow developers

🌐 Multi-Language Support

Supported via GitHub Action (Automated & Always Up-to-Date)

If you wish to have additional translations languages supported are listed here

🧑‍🎓 Are you a student?

Visit Student Hub page where you will find beginner resources, Student packs and even ways to get a free certificate voucher. This is the page you want to bookmark and check from time to time as we switch out content monthly.

📣 Announcement - New GitHub Copilot Agent mode challenges to complete!

New Challenge added, look for “GitHub Copilot Agent Challenge 🚀” in most chapters. That’s a new challenge for you to complete using GitHub Copilot and Agent mode. If you haven’t used Agent mode before it’s capable of not just generating text but can also create and edit files, run commands and more.

📣 Announcement - New Project to build using Generative AI

New AI Assistant project just added, check it out project

📣 Announcement - New Curriculum on Generative AI for JavaScript was just released

Don’t miss our new Generative AI curriculum!

Visit https://aka.ms/genai-js-course to get started!

Lessons covering everything from basics to RAG.
Interact with historical characters using GenAI and our companion app.
Fun and engaging narrative, you’ll be time traveling!

Each lesson includes an assignment to complete, a knowledge check and a challenge to guide you on learning topics like:

Prompting and prompt engineering
Text and image app generation
Search apps

Visit https://aka.ms/genai-js-course to get started!

🌱 Getting Started

Teachers, we have included some suggestions on how to use this curriculum. We’d love your feedback in our discussion forum!

Learners, for each lesson, start with a pre-lecture quiz and follow through with reading the lecture material, completing the various activities and check your understanding with the post-lecture quiz.

To enhance your learning experience, connect with your peers to work on the projects together! Discussions are encouraged in our discussion forum where our team of moderators will be available to answer your questions.

To further your education, we highly recommend exploring Microsoft Learn for additional study materials.

📋 Setting up your environment

This curriculum has a development environment ready to go! As you get started you can choose to run the curriculum in a Codespace (a browser-based, no installs needed environment), or locally on your computer using a text editor such as Visual Studio Code.

Create your repository

For you to easily save your work, it is recommended that you create your own copy of this repository. You can do this by clicking the Use this template button at the top of the page. This will create a new repository in your GitHub account with a copy of the curriculum.

Follow these steps:

Fork the Repository: Click on the “Fork” button at the top-right corner of this page.
Clone the Repository: git clone https://github.com/microsoft/Web-Dev-For-Beginners.git

Running the curriculum in a Codespace

In your copy of this repository that you created, click the Code button and select Open with Codespaces. This will create a new Codespace for you to work in.

Running the curriculum locally on your computer

To run this curriculum locally on your computer, you will need a text editor, a browser and a command line tool. Our first lesson, Introduction to Programming Languages and Tools of the Trade, will walk you through various options for each of these tools for you to select what works best for you.

Our recommendation is to use Visual Studio Code as your editor, which also has a built-in Terminal. You can download Visual Studio Code here.

Clone your repository to your computer. You can do this by clicking the Code button and copying the URL:

CodeSpace

Then, open Terminal within Visual Studio Code and run the following command, replacing <your-repository-url> with the URL you just copied:
1

git clone <your-repository-url>
Open the folder in Visual Studio Code. You can do this by clicking File > Open Folder and selecting the folder you just cloned.

Recommended Visual Studio Code extensions:

Live Server - to preview HTML pages within Visual Studio Code

Copilot - to help you write code faster

📂 Each lesson includes:

optional sketchnote
optional supplemental video
pre-lesson warmup quiz
written lesson
for project-based lessons, step-by-step guides on how to build the project
knowledge checks
a challenge
supplemental reading
assignment
post-lesson quiz

A note about quizzes: All quizzes are contained in the Quiz-app folder, 48 total quizzes of three questions each. They are available here the quiz app can be run locally or deployed to Azure; follow the instruction in the quiz-app folder.

🗃️ Lessons

	Project Name	Concepts Taught	Learning Objectives	Linked Lesson	Author
01	Getting Started	Introduction to Programming and Tools of the Trade	Learn the basic underpinnings behind most programming languages and about software that helps professional developers do their jobs	Intro to Programming Languages and Tools of the Trade	Jasmine
02	Getting Started	Basics of GitHub, includes working with a team	How to use GitHub in your project, how to collaborate with others on a code base	Intro to GitHub	Floor
03	Getting Started	Accessibility	Learn the basics of web accessibility	Accessibility Fundamentals	Christopher
04	JS Basics	JavaScript Data Types	The basics of JavaScript data types	Data Types	Jasmine
05	JS Basics	Functions and Methods	Learn about functions and methods to manage an application’s logic flow	Functions and Methods	Jasmine and Christopher
06	JS Basics	Making Decisions with JS	Learn how to create conditions in your code using decision-making methods	Making Decisions	Jasmine
07	JS Basics	Arrays and Loops	Work with data using arrays and loops in JavaScript	Arrays and Loops	Jasmine
08	Terrarium	HTML in Practice	Build the HTML to create an online terrarium, focusing on building a layout	Introduction to HTML	Jen
09	Terrarium	CSS in Practice	Build the CSS to style the online terrarium, focusing on the basics of CSS including making the page responsive	Introduction to CSS	Jen
10	Terrarium	JavaScript Closures, DOM manipulation	Build the JavaScript to make the terrarium function as a drag/drop interface, focusing on closures and DOM manipulation	JavaScript Closures, DOM manipulation	Jen
11	Typing Game	Build a Typing Game	Learn how to use keyboard events to drive the logic of your JavaScript app	Event-Driven Programming	Christopher
12	Green Browser Extension	Working with Browsers	Learn how browsers work, their history, and how to scaffold the first elements of a browser extension	About Browsers	Jen
13	Green Browser Extension	Building a form, calling an API and storing variables in local storage	Build the JavaScript elements of your browser extension to call an API using variables stored in local storage	APIs, Forms, and Local Storage	Jen
14	Green Browser Extension	Background processes in the browser, web performance	Use the browser’s background processes to manage the extension’s icon; learn about web performance and some optimizations to make	Background Tasks and Performance	Jen
15	Space Game	More Advanced Game Development with JavaScript	Learn about Inheritance using both Classes and Composition and the Pub/Sub pattern, in preparation for building a game	Introduction to Advanced Game Development	Chris
16	Space Game	Drawing to canvas	Learn about the Canvas API, used to draw elements to a screen	Drawing to Canvas	Chris
17	Space Game	Moving elements around the screen	Discover how elements can gain motion using the cartesian coordinates and the Canvas API	Moving Elements Around	Chris
18	Space Game	Collision detection	Make elements collide and react to each other using keypresses and provide a cooldown function to ensure performance of the game	Collision Detection	Chris
19	Space Game	Keeping score	Perform math calculations based on the game’s status and performance	Keeping Score	Chris
20	Space Game	Ending and restarting the game	Learn about ending and restarting the game, including cleaning up assets and resetting variable values	The Ending Condition	Chris
21	Banking App	HTML Templates and Routes in a Web App	Learn how to create the scaffold of a multipage website’s architecture using routing and HTML templates	HTML Templates and Routes	Yohan
22	Banking App	Build a Login and Registration Form	Learn about building forms and handling validation routines	Forms	Yohan
23	Banking App	Methods of Fetching and Using Data	How data flows in and out of your app, how to fetch it, store it, and dispose of it	Data	Yohan
24	Banking App	Concepts of State Management	Learn how your app retains state and how to manage it programmatically	State Management	Yohan
25	Browser/VScode Code	Working with VScode	Learn how to Using a code editor	Use VScode Code Editor	Chris
26	AI Assistants	Working with AI	Learn how to build your own AI assistant	AI Assistant project	Chris

🏫 Pedagogy

Our curriculum is designed with two key pedagogical principles in mind:

project-based learning
frequent quizzes

The program teaches the fundamentals of JavaScript, HTML, and CSS, as well as the latest tools and techniques used by today’s web developers. Students will have the opportunity to develop hands-on experience by building a typing game, virtual terrarium, eco-friendly browser extension, space-invader-style game, and a banking app for businesses. By the end of the series, students will have gained a solid understanding of web development.

🎓 You can take the first few lessons in this curriculum as a Learn Path on Microsoft Learn!

By ensuring that the content aligns with projects, the process is made more engaging for students and retention of concepts will be augmented. We also wrote several starter lessons in JavaScript basics to introduce concepts, paired with a video from the “Beginners Series to: JavaScript” collection of video tutorials, some of whose authors contributed to this curriculum.

In addition, a low-stakes quiz before a class sets the intention of the student towards learning a topic, while a second quiz after class ensures further retention. This curriculum was designed to be flexible and fun and can be taken in whole or in part. The projects start small and become increasingly complex by the end of the 12-week cycle.

While we have purposefully avoided introducing JavaScript frameworks to concentrate on the basic skills needed as a web developer before adopting a framework, a good next step to completing this curriculum would be learning about Node.js via another collection of videos: “Beginner Series to: Node.js”.

Visit our Code of Conduct and Contributing guidelines. We welcome your constructive feedback!

🧭 Offline access

You can run this documentation offline by using Docsify. Fork this repo, install Docsify on your local machine, and then in the root folder of this repo, type docsify serve. The website will be served on port 3000 on your localhost: localhost:3000.

📘 PDF

A PDF of all of the lessons can be found here.

🎒 Other Courses

Our team produces other courses! Check out:

Azure / Edge / MCP / Agents

Generative AI Series

Core Learning

Copilot Series

Getting Help

If you get stuck or have any questions about building AI apps, join:

If you have product feedback or errors while building visit:

License

This repository is licensed under the MIT license. See the LICENSE file for more information.

computer-science

Mon, 08 Sep 2025 15:29:45 +0800

ossu/computer-science

Open Source Society University

Path to a free self-taught education in Computer Science!

Summary

The OSSU curriculum is a complete education in computer science using online materials. It’s not merely for career training or professional development. It’s for those who want a proper, well-rounded grounding in concepts fundamental to all computing disciplines, and for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own, but with support from a worldwide community of fellow learners.

It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the field of CS. The courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc., but specifically chosen to meet the following criteria.

Courses must:

Be open for enrollment
Run regularly (ideally in self-paced format, otherwise running multiple times per year)
Be of generally high quality in teaching materials and pedagogical principles
Match the curricular standards of the CS 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science

When no course meets the above criteria, the coursework is supplemented with a book. When there are courses or books that don’t fit into the curriculum but are otherwise of high quality, they belong in extras/courses or extras/readings.

Organization. The curriculum is designed as follows:

Intro CS: for students to try out CS and see if it’s right for them
Core CS: corresponds roughly to the first three years of a computer science curriculum, taking classes that all majors would be required to take
Advanced CS: corresponds roughly to the final year of a computer science curriculum, taking electives according to the student’s interests
Final Project: a project for students to validate, consolidate, and display their knowledge, to be evaluated by their peers worldwide

Duration. It is possible to finish within about 2 years if you plan carefully and devote roughly 20 hours/week to your studies. Learners can use this spreadsheet to estimate their end date. Make a copy and input your start date and expected hours per week in the Timeline sheet. As you work through courses you can enter your actual course completion dates in the Curriculum Data sheet and get updated completion estimates.

Warning: While the spreadsheet is a useful tool to estimate the time you need to complete this curriculum, it may not always be up-to-date with the curriculum. Use the OSSU CS website or the repo to see what courses to do.

Cost. All or nearly all course material is available for free. However, some courses may charge money for assignments/tests/projects to be graded. Note that both Coursera and edX offer financial aid.

Decide how much or how little to spend based on your own time and budget; just remember that you can’t purchase success!

Process. Students can work through the curriculum alone or in groups, in order or out of order.

We recommend doing all courses in Core CS, only skipping a course when you are certain that you’ve already learned the material previously.
For simplicity, we recommend working through courses (especially Core CS) in order from top to bottom. Some students choose to study multiple courses at a time in order to vary the material they are working on in a day/week. A popular option is to take the math courses in parallel with the introductory courses. Course prerequisites are listed to help you determine if you are prepared for a given course.
Courses in Advanced CS are electives. Choose one subject (e.g. Advanced programming) you want to become an expert in and take all the courses under that heading. You can also create your own custom subject; the Discord community may provide feedback on your planned subject.

Content policy. If you plan on showing off some of your coursework publicly, you must share only files that you are allowed to. Respect the code of conduct that you signed in the beginning of each course!

How to contribute

Getting help (Details about our FAQ and chatroom)

Community

We have a Discord server! This should be your first stop to talk with other OSSU students. Why don’t you introduce yourself right now? Join the OSSU Discord
You can also interact through GitHub issues. If there is a problem with a course, or a change needs to be made to the curriculum, this is the place to start the conversation. Read more here.
Add Open Source Society University to your Linkedin profile!

Warning: There are a few third-party/deprecated/outdated material that you might find when searching for OSSU. We recommend you to ignore them, and only use the OSSU CS website or OSSU CS Github Repo. Some known outdated materials are:

An unmaintained and deprecated firebase app. Read more in the FAQ.

An unmaintained and deprecated trello board

Third-party notion templates

Curriculum

Prerequisites

Core CS assumes the student has already taken high school math, including algebra, geometry, and pre-calculus.
Advanced CS assumes the student has already taken the entirety of Core CS and is knowledgeable enough now to decide which electives to take.
Note that Advanced systems assumes the student has taken a basic physics course (e.g. AP Physics in high school).

Intro CS

This course will introduce you to the world of computer science and programming. This course gives you a flavor of the material to come. If you finish the course wanting more, Computer Science is likely for you!

Topics covered: computation imperative programming basic data structures and algorithms and more

Courses	Duration	Effort	Prerequisites	Discussion
Introduction to Computer Science and Programming using Python	14 weeks	6-10 hours/week	high school algebra	chat

Core CS

All coursework under Core CS is required, unless otherwise indicated.

Core programming

Topics covered: functional programming design for testing program requirements common design patterns unit testing object-oriented design static typing dynamic typing ML-family languages (via Standard ML) Lisp-family languages (via Racket) Ruby and more

Courses	Duration	Effort	Prerequisites	Discussion
Systematic Program Design	13 weeks	8-10 hours/week	none	chat: part 1 / part 2
Class-based Program Design	13 weeks	5-10 hours/week	Systematic Program Design, High School Math	chat
Programming Languages	11 weeks	4-8 hours/week	Systematic Program Design	chat
Object-Oriented Design	13 weeks	5-10 hours/week	Class Based Program Design	chat
Software Architecture	4 weeks	2-5 hours/week	Object Oriented Design	chat

Core math

Discrete math (Math for CS) is a prerequisite and closely related to the study of algorithms and data structures. Calculus both prepares students for discrete math and helps students develop mathematical maturity.

Topics covered: discrete mathematics mathematical proofs basic statistics O-notation discrete probability and more

Courses	Duration	Effort	Notes	Prerequisites	Discussion
Calculus 1A: Differentiation (alternative)	13 weeks	6-10 hours/week	The alternate covers this and the following 2 courses	high school math	chat
Calculus 1B: Integration	13 weeks	5-10 hours/week	-	Calculus 1A	chat
Calculus 1C: Coordinate Systems & Infinite Series	6 weeks	5-10 hours/week	-	Calculus 1B	chat
Mathematics for Computer Science (alternative)	13 weeks	5 hours/week	2015/2019 solutions 2010 solutions 2005 solutions.	Calculus 1C	chat

CS Tools

Understanding theory is important, but you will also be expected to create programs. There are a number of tools that are widely used to make that process easier. Learn them now to ease your future work writing programs.

Topics covered: terminals and shell scripting vim command line environments version control and more

Courses	Duration	Effort	Prerequisites	Discussion
The Missing Semester of Your CS Education	2 weeks	12 hours/week	-	chat

Core systems

Topics covered: procedural programming manual memory management boolean algebra gate logic memory computer architecture assembly machine language virtual machines high-level languages compilers operating systems network protocols and more

Courses	Duration	Effort	Additional Text / Assignments	Prerequisites	Discussion
Build a Modern Computer from First Principles: From Nand to Tetris (alternative)	6 weeks	7-13 hours/week	-	C-like programming language	chat
Build a Modern Computer from First Principles: Nand to Tetris Part II	6 weeks	12-18 hours/week	-	one of these programming languages, From Nand to Tetris Part I	chat
Operating Systems: Three Easy Pieces	10-12 weeks	6-10 hours/week	-	Nand to Tetris Part II	chat
Computer Networking: a Top-Down Approach	8 weeks	4–12 hours/week	Wireshark Labs	algebra, probability, basic CS	chat

Core theory

Topics covered: divide and conquer sorting and searching randomized algorithms graph search shortest paths data structures greedy algorithms minimum spanning trees dynamic programming NP-completeness and more

Courses	Duration	Effort	Prerequisites	Discussion
Divide and Conquer, Sorting and Searching, and Randomized Algorithms	4 weeks	4-8 hours/week	any programming language, Mathematics for Computer Science	chat
Graph Search, Shortest Paths, and Data Structures	4 weeks	4-8 hours/week	Divide and Conquer, Sorting and Searching, and Randomized Algorithms	chat
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming	4 weeks	4-8 hours/week	Graph Search, Shortest Paths, and Data Structures	chat
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them	4 weeks	4-8 hours/week	Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming	chat

Core security

Topics covered Confidentiality, Integrity, Availability Secure Design Defensive Programming Threats and Attacks Network Security Cryptography and more

Courses	Duration	Effort	Prerequisites	Discussion
Cybersecurity Fundamentals	8 weeks	10-12 hours/week	-	chat
Principles of Secure Coding	4 weeks	4 hours/week	-	chat
Identifying Security Vulnerabilities	4 weeks	4 hours/week	-	chat

Choose one of the following:

Courses	Duration	Effort	Prerequisites	Discussion
Identifying Security Vulnerabilities in C/C++Programming	4 weeks	5 hours/week	-	chat
Exploiting and Securing Vulnerabilities in Java Applications	4 weeks	5 hours/week	-	chat

Core applications

Topics covered: Agile methodology REST software specifications refactoring relational databases transaction processing data modeling neural networks supervised learning unsupervised learning OpenGL ray tracing and more

Courses	Duration	Effort	Prerequisites	Discussion
Databases: Modeling and Theory	2 weeks	10 hours/week	core programming	chat
Databases: Relational Databases and SQL	2 weeks	10 hours/week	core programming	chat
Databases: Semistructured Data	2 weeks	10 hours/week	core programming	chat
Machine Learning	11 weeks	9 hours/week	Basic coding	chat
Computer Graphics (alternative)	6 weeks	12 hours/week	C++ or Java, Basic Linear Algebra	chat
Software Engineering: Introduction (alternative)	6 weeks	8-10 hours/week	Core Programming, and a sizable project	chat

Core ethics

Topics covered: Social Context Analytical Tools Professional Ethics Intellectual Property Privacy and Civil Liberties and more

Courses	Duration	Effort	Prerequisites	Discussion
Ethics, Technology and Engineering	9 weeks	2 hours/week	none	chat
Introduction to Intellectual Property	4 weeks	2 hours/week	none	chat
Data Privacy Fundamentals	3 weeks	3 hours/week	none	chat

Advanced CS

After completing every required course in Core CS, students should choose a subset of courses from Advanced CS based on interest. Not every course from a subcategory needs to be taken. But students should take every course that is relevant to the field they intend to go into.

Advanced programming

Topics covered: debugging theory and practice goal-oriented programming parallel computing object-oriented analysis and design UML large-scale software architecture and design and more

Courses	Duration	Effort	Prerequisites
Parallel Programming	4 weeks	6-8 hours/week	Scala programming
Compilers	9 weeks	6-8 hours/week	none
Introduction to Haskell	14 weeks	-	-
Learn Prolog Now! (alternative)*	12 weeks	-	-
Software Debugging	8 weeks	6 hours/week	Python, object-oriented programming
Software Testing	4 weeks	6 hours/week	Python, programming experience

(*) book by Blackburn, Bos, Striegnitz (compiled from source, redistributed under CC license)

Advanced systems

Topics covered: digital signaling combinational logic CMOS technologies sequential logic finite state machines processor instruction sets caches pipelining virtualization parallel processing virtual memory synchronization primitives system call interface and more

Courses	Duration	Effort	Prerequisites	Notes
Computation Structures 1: Digital Circuits alternative 1 alternative 2	10 weeks	6 hours/week	Nand2Tetris II	Alternate links contain all 3 courses.
Computation Structures 2: Computer Architecture	10 weeks	6 hours/week	Computation Structures 1	-
Computation Structures 3: Computer Organization	10 weeks	6 hours/week	Computation Structures 2	-

Advanced theory

Topics covered: formal languages Turing machines computability event-driven concurrency automata distributed shared memory consensus algorithms state machine replication computational geometry theory propositional logic relational logic Herbrand logic game trees and more

Courses	Duration	Effort	Prerequisites
Theory of Computation (alternative)	13 weeks	10 hours/week	Mathematics for Computer Science, logic, algorithms
Computational Geometry	16 weeks	8 hours/week	algorithms, C++
Game Theory	8 weeks	3 hours/week	mathematical thinking, probability, calculus

Advanced Information Security

Courses	Duration	Effort	Prerequisites
Web Security Fundamentals	5 weeks	4-6 hours/week	understanding basic web technologies
Security Governance & Compliance	3 weeks	3 hours/week	-
Digital Forensics Concepts	3 weeks	2-3 hours/week	Core Security
Secure Software Development: Requirements, Design, and Reuse	7 weeks	1-2 hours/week	Core Programming and Core Security
Secure Software Development: Implementation	7 weeks	1-2 hours/week	Secure Software Development: Requirements, Design, and Reuse
Secure Software Development: Verification and More Specialized Topics	7 weeks	1-2 hours/week	Secure Software Development: Implementation

Advanced math

Courses	Duration	Effort	Prerequisites	Discussion
Essence of Linear Algebra	-	-	high school math	chat
Linear Algebra	14 weeks	12 hours/week	corequisite: Essence of Linear Algebra	chat
Introduction to Numerical Methods	14 weeks	12 hours/week	Linear Algebra	chat
Introduction to Formal Logic	10 weeks	4-8 hours/week	Set Theory	chat
Probability	15 weeks	5-10 hours/week	Differentiation and Integration	chat

Final project

Part of learning is doing. The assignments and exams for each course are to prepare you to use your knowledge to solve real-world problems.

After you’ve completed Core CS and the parts of Advanced CS relevant to you, you should identify a problem that you can solve using the knowledge you’ve acquired. You can create something entirely new, or you can improve some tool/program that you use and wish were better.

Students who would like more guidance in creating a project may choose to use a series of project oriented courses. Here is a sample of options (many more are available, at this point you should be capable of identifying a series that is interesting and relevant to you):

Courses	Duration	Effort	Prerequisites
Fullstack Open	12 weeks	15 hours/week	programming
Modern Robotics (Specialization)	26 weeks	2-5 hours/week	freshman-level physics, linear algebra, calculus, linear ordinary differential equations
Data Mining (Specialization)	30 weeks	2-5 hours/week	machine learning
Big Data (Specialization)	30 weeks	3-5 hours/week	none
Internet of Things (Specialization)	30 weeks	1-5 hours/week	strong programming
Cloud Computing (Specialization)	30 weeks	2-6 hours/week	C++ programming
Data Science (Specialization)	43 weeks	1-6 hours/week	none
Functional Programming in Scala (Specialization)	29 weeks	4-5 hours/week	One year programming experience
Game Design and Development with Unity 2020 (Specialization)	6 months	5 hours/week	programming, interactive design

Congratulations

After completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor’s degree in Computer Science. Congratulations!

What is next for you? The possibilities are boundless and overlapping:

Look for a job as a developer!
Check out the readings for classic books you can read that will sharpen your skills and expand your knowledge.
Join a local developer meetup (e.g. via meetup.com).
Pay attention to emerging technologies in the world of software development:
- Explore the actor model through Elixir, a new functional programming language for the web based on the battle-tested Erlang Virtual Machine!
- Explore borrowing and lifetimes through Rust, a systems language which achieves memory- and thread-safety without a garbage collector!
- Explore dependent type systems through Idris, a new Haskell-inspired language with unprecedented support for type-driven development.

Code of conduct

OSSU’s code of conduct.

How to show your progress

Fork the GitHub repo into your own GitHub account and put ✅ next to the stuff you’ve completed as you complete it. This can serve as your kanban board and will be faster to implement than any other solution (giving you time to spend on the courses).

Team

Eric Douglas: founder of OSSU
Josh Hanson: lead technical maintainer
Waciuma Wanjohi: lead academic maintainer
Contributors

mcp-for-beginners

Wed, 06 Aug 2025 15:36:21 +0800

microsoft/mcp-for-beginners

Follow these steps to get started using these resources:

Fork the Repository: Click
Clone the Repository: git clone https://github.com/microsoft/mcp-for-beginners.git
Join The Azure AI Foundry Discord and meet experts and fellow developers

🌐 Multi-Language Support

Supported via GitHub Action (Automated & Always Up-to-Date)

🚀 Model Context Protocol (MCP) Curriculum for Beginners

Learn MCP with Hands-on Code Examples in C#, Java, JavaScript, Python, and TypeScript

🧠 Overview of the Model Context Protocol Curriculum

The Model Context Protocol (MCP) is a cutting-edge framework designed to standardize interactions between AI models and client applications. This open-source curriculum offers a structured learning path, complete with practical coding examples and real-world use cases, across popular programming languages including C#, Java, JavaScript, TypeScript, and Python.

Whether you’re an AI developer, system architect, or software engineer, this guide is your comprehensive resource for mastering MCP fundamentals and implementation strategies.

🔗 Official MCP Resources

📘 MCP Documentation – Detailed tutorials and user guides
📜 MCP Specification – Protocol architecture and technical references
📜 Original MCP Specification – Legacy technical references (may contain additional details)
🧑‍💻 MCP GitHub Repository – Open-source SDKs, tools, and code samples
🌐 MCP Community – Join discussions and contribute to the community

Join us for MCP Dev Days 29-30th July 2025

Get ready for two days of deep technical insight, community connection, and hands-on learning at MCP Dev Days, a virtual event dedicated to the Model Context Protocol (MCP) — the emerging standard that bridges AI models and the tools they rely on.

➡️ Register for MCP Dev Days

You can watch MCP Dev Days by registering on our event page: https://aka.ms/mcpdevdays. From there, you’ll be able to join a live stream on YouTube or Twitch. All of the content is recorded and will be available afterwards on the Microsoft Developer YouTube channel. Source code for the demos will be available on GitHub too.

Event Details

Dates: July 29 (Day 1) & July 30 (Day 2)
Time: 9:00 AM PST daily
Where: Online – join from anywhere!

Day 1: MCP Productivity, DevTools, & Community:

Is all about empowering developers to use MCP in their developer workflow and celebrating the amazing MCP community. We’ll be joined with community members and partners such as Arcade, Block, Okta, and Neon to see how they are collaborating with Microsoft to shape an open, extensible MCP ecosystem. Real-world demos across VS Code, Visual Studio, GitHub Copilot, and popular community tools Practical, context-driven dev workflows Community-led sessions and insights Whether you’re just getting started with MCP or already building with it, Day 1 will set the stage with inspiration and actionable takeaways.

Day 2: Build MCP Servers with Confidence

Is for MCP builders. We’ll go deep into implementation strategies and best practices for creating MCP servers and integrating MCP into your AI workflows.

Topics include:

Building MCP Servers and integrating them into agent experiences
Prompt-driven development
Security best practices
Using building blocks like Functions, ACA, and API Management
Registry alignment and tooling (1P + 3P)

If you’re a developer, tool builder, or AI product strategist, this day is packed with the insights you need to build scalable, secure, and future-ready MCP solutions.

🧭 MCP Curriculum Overview

📚 Complete Curriculum Structure

Module	Topic	Description	Link
Module 1-3: Fundamentals
00	Introduction to MCP	Overview of the Model Context Protocol and its significance in AI pipelines	Read more
01	Core Concepts Explained	In-depth exploration of core MCP concepts	Read more
02	Security in MCP	Security threats and best practices	Read more
03	Getting Started with MCP	Environment setup, basic servers/clients, integration	Read more
Module 3: Building Your First Server & Client
3.1	First Server	Create your first MCP server	Guide
3.2	First Client	Develop a basic MCP client	Guide
3.3	Client with LLM	Integrate large language models	Guide
3.4	VS Code Integration	Consume MCP servers in VS Code	Guide
3.5	SSE Server	Create servers using Server-Sent Events	Guide
3.6	HTTP Streaming	Implement HTTP streaming in MCP	Guide
3.7	AI Toolkit	Use AI Toolkit with MCP	Guide
3.8	Testing	Test your MCP server implementation	Guide
3.9	Deployment	Deploy MCP servers to production	Guide
Module 4-5: Practical & Advanced
04	Practical Implementation	SDKs, debugging, testing, reusable prompt templates	Read more
05	Advanced Topics in MCP	Multi-modal AI, scaling, enterprise use	Read more
5.1	Azure Integration	MCP Integration with Azure	Guide
5.2	Multi-modality	Working with multiple modalities	Guide
5.3	OAuth2 Demo	Implement OAuth2 authentication	Guide
5.4	Root Contexts	Understand and implement root contexts	Guide
5.5	Routing	MCP routing strategies	Guide
5.6	Sampling	Sampling techniques in MCP	Guide
5.7	Scaling	Scale MCP implementations	Guide
5.8	Security	Advanced security considerations	Guide
5.9	Web Search	Implement web search capabilities	Guide
5.10	Realtime Streaming	Build realtime streaming functionality	Guide
5.11	Realtime Search	Implement realtime search	Guide
5.12	Entra ID Auth	Authentication with Microsoft Entra ID	Guide
5.13	Foundry Integration	Integrate with Azure AI Foundry	Guide
5.14	Context Engineering	Techniques for effective context engineering	Guide
Module 6-10: Community & Best Practices
06	Community Contributions	How to contribute to the MCP ecosystem	Guide
07	Insights from Early Adoption	Real-world implementation stories	Guide
08	Best Practices for MCP	Performance, fault-tolerance, resilience	Guide
09	MCP Case Studies	Practical implementation examples	Guide
10	Hands-on Workshop	Building an MCP Server with AI Toolkit	Lab

💻 Sample Code Projects

Basic MCP Calculator Samples

Language	Description	Link
C#	MCP Server Example	View Code
Java	MCP Calculator	View Code
JavaScript	MCP Demo	View Code
Python	MCP Server	View Code
TypeScript	MCP Example	View Code

Advanced MCP Implementations

Language	Description	Link
C#	Advanced Sample	View Code
Java	Container App Example	View Code
JavaScript	Advanced Sample	View Code
Python	Complex Implementation	View Code
TypeScript	Container Sample	View Code

🎯 Prerequisites for Learning MCP

To get the most out of this curriculum, you should have:

Basic knowledge of programming in at least one of the following languages: C#, Java, JavaScript, Python, or TypeScript
Understanding of client-server model and APIs
Familiarity with REST and HTTP concepts
(Optional) Background in AI/ML concepts
Joining our community discussions for support

📚 Study Guide & Resources

This repository includes several resources to help you navigate and learn effectively:

Study Guide

A comprehensive Study Guide is available to help you navigate this repository effectively. The guide includes:

A visual curriculum map showing all topics covered
Detailed breakdown of each repository section
Guidance on how to use sample projects
Recommended learning paths for different skill levels
Additional resources to complement your learning journey

Changelog

We maintain a detailed Changelog that tracks all significant updates to the curriculum materials, including:

New content additions
Structural changes
Feature improvements
Documentation updates

🛠️ How to Use This Curriculum Effectively

Each lesson in this guide includes:

Clear explanations of MCP concepts
Live code examples in multiple languages
Exercises to build real MCP applications
Extra resources for advanced learners

🌟 Community Thanks

Thanks to Microsoft Valued Professional Shivam Goyal for contributing important code samples.

📜 License Information

This content is licensed under the MIT License. For terms and conditions, see the LICENSE.

🤝 Contribution Guidelines

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

📂 Repository Structure

The repository is organized as follows:

Core Curriculum (00-10): The main content organized in ten sequential modules
images/: Diagrams and illustrations used throughout the curriculum
translations/: Multi-language support with automated translations
translated_images/: Localized versions of diagrams and illustrations
study_guide.md: Comprehensive guide to navigating the repository
changelog.md: Record of all significant changes to the curriculum materials
mcp.json: Configuration file for MCP specification
CODE_OF_CONDUCT.md, LICENSE, SECURITY.md, SUPPORT.md: Project governance documents

🎒 Other Courses

Our team produces other courses! Check out:

™️ Trademark Notice

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft’s Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos is subject to those third-parties’ policies.

ciencia-da-computacao

Sun, 06 Jul 2025 15:27:18 +0800

Universidade-Livre/ciencia-da-computacao

Universidade Brasileira Livre

Um caminho para a educação autodidata em Ciência da Computação!

Conteúdos

Sumário

O Curso de Ciência da Computação oferecido pela Universidade Livre Brasileira é uma educação completa em Ciência da Computação usando materiais on-line e em Português do Brasil. Este Curso não é pensado para treinamento em tecnologias específicas ou focado em habilidades profissionais direcionadas ao mercado, e sim para aqueles que desejam uma educação própria, com qualidade, fundada nos conceitos fundamentais da computação e é planejada para alunos com disciplina, comprometimento e (o mais importante) bons hábitos de estudo majoritariamente independentes, mas que buscam o suporte de uma comunidade de outros estudantes no Brasil todo.

Este curso contém conteúdos que seriam vistos em um curso de Ciência da Computação organizados de forma estruturada. Os cursos em si são selecionados primariamente do conteúdo aberto de diversas Universidades e Institutos de Educação do Brasil. Entretanto, os cursos presentes na grade seguem os seguintes critérios:

Bases para a criação do Currículo (Guidelines):

Levamos em consideração - apesar de não termos implementado completamente conforme sugerido - os seguintes documentos sobre a formação de um currículo em Ciência da Computação. Continuaremos constantemente trabalhando e aceitando sugestões de melhorias para cada vez mais oferecer uma experiência melhor para todos os estudantes que seguem nosso guia aberto de conteúdos. Além das referências abaixo, também utilizamos como referência as grades curriculares de outras instituições de ensino superior brasileiras.

Os Cursos devem:

Ser gratuitos ou de conteúdo que possa ser assistido de forma aberta
Possuir método pedagógico
Ter reconhecimento de qualidade da Comunidade sobre o tema
Estar de acordo com o que se espera do Currículo de Ciências da Computação

Todas as disciplinas possuem uma lista de leituras recomendadas. É de sua responsabilidade escolher a metodologia mais adequada. Note que os livros, em sua maioria, não são gratuitos.

Cursos de qualidade recomendados que não se encaixam na grade serão adicionados em cursos extras. O mesmo ocorrerá quanto aos livros em livros extras.

Todos os cursos podem ser completados de forma gratuita. Porém, alguns cursos têm diplomas, certificados, atividades, ou extras opcionais que são pagos. Observe que o Coursera oferece ajuda financeira.

Os estudantes podem fazer as disciplinas individualmente ou em grupo, seguindo a ordem que estabelecemos ou não, sempre respeitando os pré-requisitos curriculares.

Apenas publique em seu GitHub e espaços públicos os materiais que seu Curso permite que sejam publicados. Nunca desrespeite nenhuma regra do curso em que se matriculou e nunca faça plágios!

Como contribuir

Conseguindo ajuda (Detalhes sobre o FAQ e servidor)

Comunidade

Temos um servidor no Discord! Nele, você poderá encontrar e interagir com outros estudantes. Por que não se apresenta lá agora mesmo? Vem para o Discord.
Você também pode interagir sobre questões a respeito dos problemas do Curso, propor mudanças de Currículo e outras coisas relacionadas por meio das nossas issues. Sinta-se à vontade para abrir discussões lá.
Adicione a Universidade Brasileira Livre no seu perfil do LinkedIn!

Antes de começar

Há tópicos que, apesar de não serem essenciais na formação de Ciência da Computação, podem ser muito úteis na sua jornada de aprendizado. Se desejar, você pode optar por ignorá-los momentaneamente e revisá-los posteriormente.

Técnicas de estudo, organização e aprendizagem

Antes de começar a estudar é importante que você aprenda algumas coisas importantes. Ser autodidata não é sobre aprender sozinho, nem sobre não estar vinculado à uma Instituição de Ensino Superior (IES), mas sobre ser responsável pelo seu próprio ensino e isso é algo que exige saber como estudar, o quanto estudar, e como organizar seus estudos. Para isso, recomendamos os seguintes conteúdos abaixo.

Curso	Conteúdos
Aprendendo a aprender ¹	Memória; Técnicas de estudo; Recursos de estudo.
Como estudar do jeito certo	Tempo; Técnica; Discussão.

¹ Disponível com legendas em Português.

Git e GitHub

Conhecer ferramentas como o Git o ajudará a organizar seus projetos de estudo. O GitHub - ou outras plataformas como BitBucket ou GitLab - pode ser muito útil para trabalhar remotamente e compartilhar os seus projetos com colegas, além de poder usá-lo como portfólio em futuras oportunidades de trabalho.

Curso	Conteúdos
Git e Github para Iniciantes	Git; GitHub; Controle de versão.
Git e GitHub	Git; GitHub; Controle de versão.

Currículo

Você pode fazer os cursos na ordem, onde, e como preferir. Este é o maior benefício da liberdade. Entretanto, por fins didáticos e de organização, recomendamos que tente respeitar os pré-requisitos. Você perceberá que não cumprir com estes poderá criar obstáculos em sua jornada.

Dependências entre assuntos

(Clique na imagem para ampliar.)

Obrigatórias

A grade curricular abaixo está dividida em etapas para melhor visualização

1ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
1	Circuitos Digitais	-	Livros sobre Circuitos Digitais
1	Matemática Discreta	-	Livros sobre Matemática Discreta
1	Linguagens de Programação	-	Livros sobre Linguagens de Programação
1	Introdução à Ciência da Computação com Python I	-	Livros sobre Introdução a CC
1	Geometria Analítica	-	Livros sobre Geometria Analítica

2ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
2	Cálculo I	Geometria Analítica	Livros de Cálculo I
2	Álgebra Linear I	Geometria Analítica	Livros de Álgebra Linear
2	Estruturas de Dados	Matemática Discreta Introdução à Ciência da Computação com Python I	Livros de Estruturas de Dados
2	Introdução à Ciência da Computação com Python II	Introdução à Ciência da Computação com Python I	Livros de Introdução a Programação
2	Laboratório de Programação Orientada a Objetos I	Introdução à Ciência da Computação com Python I	Livros sobre Orientação a Objetos

3ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
3	Algoritmos em Grafos	Estruturas de Dados	Livros sobre Algoritmos em Grafos
3	Arquitetura de Computadores I	Circuitos Digitais	Livros sobre Arquitetura de Computadores I
3	Probabilidade e Estatística	Cálculo I	Livros sobre Probabilidade e Estatística
3	Cálculo II	Cálculo I	Livros sobre Cálculo II
3	Programação Funcional em Haskell	-	Livros sobre Programação Funcional

4ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
4	Análise de Algoritmos	Algoritmos em Grafos	Livros sobre Análise de Algoritmos
4	Métodos Numéricos I	Introdução à Ciência da Computação com Python I Cálculo I	Livros sobre Métodos Numéricos
4	Banco de Dados	-	Livros sobre Bancos de Dados
4	Arquitetura de Computadores II	Introdução à Ciência da Computação com Python II Arquitetura de Computadores I	Livros sobre Arquitetura de Computadores
4	Programação Lógica	-	Livros sobre Programação Lógica

5ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
5	Redes de Computadores	-	Livros sobre Rede de Computadores
5	Introdução à Engenharia de Software	Introdução à Ciência da Computação com Python II	Livros sobre Engenharia de Software
5	Sistemas Operacionais	Arquitetura de Computadores II	Livros sobre Sistemas Operacionais
5	Programação Matemática	Álgebra Linear I	Livros sobre Programação Matemática/Pesquisa Operacional
5	Fundamentos de Computação Gráfica	Geometria Analítica	Livros sobre Computação Gráfica

6ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
6	Linguagens Formais e Autômatos	Matemática Discreta	Livros sobre Linguagens Formais e Autômatos
6	Inteligência Artificial	Estruturas de Dados Probabilidade e Estatística	Livros sobre Inteligência Artificial
6	Sistemas Distribuídos	Redes de Computadores	Livros sobre Sistemas Distríbuidos
6	Teoria dos Grafos	Matemática Discreta	Livros sobre Teoria dos Grafos
6	Cálculo III	Cálculo II	Livros sobre Cálculo III

7ª Etapa

Etapa	Aulas em Vídeo	Pré-requisitos	Leitura Recomendada
7	Teoria da Computação	Linguagens Formais e Autômatos	Livros sobre Teoria da Computação
7	Deep Learning	Inteligência Artificial	Livros sobre Deep Learning
7	Compiladores	Estruturas de Dados Teoria dos Grafos	Livros sobre Compiladores
7	Computação Quantica	Cálculo III Arquitetura de Computadores II	Livros sobre Computação Quântica
7	Metodologia da Pesquisa	-	Livros sobre Metodologia de Pesquisa

Especializações

Após ter concluído a formação geral, você já deve ter uma ampla visão sobre Ciência da Computação, seus fundamentos, e suas aplicações. Além disso, você deve estar mais preparado para escolher uma área de especialidade. Abaixo disponibilizamos algumas “carreiras” que o estudante pode escolher para seguir com sua especialização em Ciência da Computação. Sua estrutura deverá ser similar ao disposto na grade principal da UBL. Note que o termo “especialização” não é empregado no mesmo sentido de pós-graduação lato sensu, e ao invés disso se refere a uma gama de conteúdos que, se empregados na grade principal, a tornariam menos geral no que diz respeito aos conteúdos base que espera-se de todo cientista da computação.

Especialização	Áreas de Atuação
Computação Gráfica	`softwares gráficos`, `aplicações 3D`, `games`, `fotorrealismo`, `sistemas gráficos`, `simuladores`, `e mais`
Embarcados	`internet das coisas`, `controles industriais`, `coisas inteligentes`, `wearables`, `cidades inteligentes`, `automobilismo`, `e mais`
Desenvolvimento Web	`aplicações em servidor`, `layout de páginas web`, `sistemas on-line`, `APIs`, `computação em nuvem`, `streaming`, `e mais`
Ciência de Dados	`análise de dados`, `visualização de dados`, `machine learning`, `deep learning`, `sistemas especialistas`, `estatística`, `e mais`
CyberSecurity	`segurança`, `pentest`, `criptografia`, `autenticação`, `análise`, `estatística`, `e mais`
DevOps	`devops`, `infraestrutura`, `container`, `docker`, `kubernetes`, `CI/CD`, `e mais`
Design de Algoritmos	`em breve`

Como demonstrar o meu progresso?

A melhor forma de demonstrar sua evolução e maturidade ao longo do currículo é por meio de exercícios. Estes exercícios podem ser os encontrados nas leituras recomendadas ou, em caso de disciplinas mais aplicadas, projetos práticos. Compartilhar sobre os projetos que tem feito ao longo do Curso, seja por meio de redes sociais, blogues, tutoriais, streaming… vai demonstrar para as pessoas do meio técnico e de outros meios o quanto você aprendeu e evoluiu ao longo dessa jornada.

Não deixe de hospedar todos os seus códigos em seu perfil do GitHub, mesmo que sejam pequenos projetos ou apenas exercícios eles podem demonstrar muito sobre o que você tem estudado, como você resolve problemas e o quanto você melhorou ao longo do tempo.

Parabéns!

Após completar todos os requisitos do currículo acima e aprender ao menos uma especialização você já viu todo o conteúdo equivalente a um Bacharelado completo em Ciência da Computação. Parabéns!

O que fazer após isso? Bem, na verdade as possibilidades são sem limites e interconectadas:

Procurar um trabalho como Desenvolvedor em sua especialidade.
Aprender mais lendo livros clássicos de Ciência da Computação em um Clube do Livro para melhorar suas habilidades e expandir seu conhecimento (além de fazer muitos amigos)!
Participar ou organizar meetups de tecnologia.
Encontrar novas tecnologias que estão crescendo:
- Explorar o modelo de atores (actor model) com Elixir ou Scala, que são linguagens modernas com ferramental e bibliotecas muito interessantes para Desenvolvimento Web e que utilizam VM’s muito poderosas!
- Explorar empréstimo (borrowing) e tempo de vida (lifetimes) em Rust, uma linguagem que tem segurança de memória e de fio de execução sem um coletor de lixo!
- Aprender mais sobre tipos e inferência de tipos com OCaml, uma linguagem multiparadigma com inferência estática de tipos!

Time

Camilo Cunha de Azevedo: Fundador da ULivre
Mateus Roveda: Líder de Comunidade
Leonardo Fiedler: Moderador da Comunidade
Jefferson Quesado: Moderador da Comunidade
Rotfuchs von Vulpes: Admin da Comunidade
Emanuel Castelo: Admin da Comunidade
Ana Hernandes: Admin da Comunidade
Christian: Admin da Comunidade

Contribuidores

Nosso muito obrigado a todas essas pessoas!

_{Fabio Kon} 📹	_{professordouglasmaioli} 📹	_{Gabriel Guimaraes} 📹	_{Pedro Thiago Valério de Souza} 📹	_{Rodolfo Azevedo} 📹	_{Eduardo Guerra} 📹	_{Fábio dos Reis} 📹
_{Matheus Felipe} 👀	_{João Paulo Carvalho} 🤔	_{Wellington Silva} 🤔	_{Hallison Paz} 📹 🤔	_{Fernando Mercês} 📹 🚧	_{Fernando Masanori} 📹	_{Emilio Francesquini} 📹
_{Fabricio Olivetti de Franca} 📹	_{Professor Isidro} 📹	_{Fabio Levy Siqueira} 📹	_{Luiz Velho} 📹	_Geofisicando 📹	_{WR Kits} 📹	_{Bruno Miranda} 📹
_{Gustavo Guanabara} 📹	_{Victor Lima} 📹	_{Lucas Nhimi} 📹	_{oliveira-michel} 📹	_{Willian Justen} 📹	_{Kizzy Terra} 📹	_{Andrew Rosário} 📹

E a todos os outros educadores, produtores de conteúdo e pessoas que contribuíram com esse projeto, mas não possuem perfil ou ainda não os encontramos!

freeCodeCamp

Sun, 25 May 2025 15:26:41 +0800

freeCodeCamp/freeCodeCamp

freeCodeCamp.org’s open-source codebase and curriculum

freeCodeCamp.org is a friendly community where you can learn to code for free. It is run by a donor-supported 501(c)(3) charity to help millions of busy adults transition into tech. Our community has already helped more than 40,000 people get their first developer job.

Our full-stack web development and machine learning curriculum is completely free and self-paced. We have thousands of interactive coding challenges to help you expand your skills.

Certifications

freeCodeCamp.org offers several free developer certifications. Each of these certifications involves building 5 required web app projects, along with hundreds of optional coding challenges to help you prepare for those projects. We estimate that each certification will take a beginner programmer around 300 hours to earn.

Each of these 50 projects in the freeCodeCamp.org curriculum has its own agile user stories and automated tests. These help you build up your project incrementally and ensure you’ve fulfilled all the user stories before you submit it.

You can pull in these test suites through freeCodeCamp’s CDN. This means you can build these projects on websites like CodePen and Replit - or even on your local computer’s development environment.

Once you’ve earned a certification, you will always have it. You will always be able to link to it from your LinkedIn or resume. And when your prospective employers or freelance clients click that link, they’ll see a verified certification specific to you.

The one exception to this is if we discover violations of our Academic Honesty Policy. When we catch people unambiguously plagiarizing (submitting other people’s code or projects as their own without citation), we do what all rigorous institutions of learning should do - we revoke their certifications and ban those people.

Here are our twelve core certifications:

1. Responsive Web Design Certification

2. JavaScript Algorithms and Data Structures Certification

3. Front End Libraries Certification

Bootstrap
jQuery
Sass
React
Redux
React and Redux

Projects: Random Quote Machine, Markdown Previewer, Drum Machine, JavaScript Calculator, 25 + 5 Clock

4. Data Visualization Certification

Data Visualization with D3
JSON APIs and Ajax

Projects: Bar Chart, Scatterplot Graph, Heat Map, Choropleth Map, Treemap Diagram

5. Relational Database

6. Back End Development and APIs Certification

7. Quality Assurance Certification

8. Scientific Computing with Python Certification

9. Data Analysis with Python Certification

10. Information Security Certification

11. Machine Learning with Python Certification

12. College Algebra with Python

Legacy Full Stack Development Certification

Once you have earned the Responsive Web Design, Algorithms and Data Structures, Front End Development Libraries, Data Visualization, Back End Development and APIs, and Legacy Information Security and Quality Assurance certifications, you’ll be able to claim your freeCodeCamp.org Full Stack Development Certification. This distinction signifies that you’ve completed around 1,800 hours of coding with a wide range of web development tools.

Legacy Certifications

We also have 4 legacy certifications dating back to our 2015 curriculum, which are still available. All of the required projects for these legacy certifications will remain available on freeCodeCamp.org.

Legacy Front End Development Certification
Legacy Data Visualization Certification
Legacy Back End Development Certification
Legacy Information Security and Quality Assurance Certification

Free professional certifications

(New) Foundational C# with Microsoft

The Learning Platform

This code is running live at freeCodeCamp.org.

Our community also has:

A forum where you can usually get programming help or project feedback within hours.
A YouTube channel with free courses on Python, SQL, Android, and a wide variety of other technologies.
A technical publication with thousands of programming tutorials and articles about mathematics and computer science.
A Discord server where you can hang out and talk with developers and people who are learning to code.

Join the community here.

Reporting Bugs and Issues

If you think you’ve found a bug, first read the how to report a bug article and follow its instructions.

If you’re confident it’s a new bug and have confirmed that someone else is facing the same issue, go ahead and create a new GitHub issue. Be sure to include as much information as possible so we can reproduce the bug.

Reporting Security Issues and Responsible Disclosure

We appreciate responsible disclosure of vulnerabilities that might impact the integrity of our platforms and users.

Read our security policy and follow these steps to report a vulnerability.

Contributing

The freeCodeCamp.org community is possible thanks to thousands of kind volunteers like you. We welcome all contributions to the community and are excited to welcome you aboard.

Please follow these steps to contribute.

Recent Contributions:

License

The content of this repository is bound by the following licenses:

The computer software is licensed under the BSD-3-Clause license.

Curriculum on Producthunt daily

Web-Dev-For-Beginners

microsoft/Web-Dev-For-Beginners

Web Development for Beginners - A Curriculum

🌐 Multi-Language Support

Supported via GitHub Action (Automated & Always Up-to-Date)

🧑‍🎓 Are you a student?

📣 Announcement - New GitHub Copilot Agent mode challenges to complete!

📣 Announcement - New Project to build using Generative AI

📣 Announcement - New Curriculum on Generative AI for JavaScript was just released

🌱 Getting Started

📋 Setting up your environment

Create your repository

Running the curriculum in a Codespace

Running the curriculum locally on your computer

📂 Each lesson includes:

🗃️ Lessons

🏫 Pedagogy

🧭 Offline access

📘 PDF

🎒 Other Courses

Azure / Edge / MCP / Agents

Generative AI Series

Core Learning

Copilot Series

Getting Help

License

computer-science

ossu/computer-science

Open Source Society University

Contents

Summary

Community

Curriculum

Prerequisites

Intro CS

Core CS

Core programming

Core math

CS Tools

Core systems

Core theory

Core security

Core applications

Core ethics

Advanced CS

Advanced programming

Advanced systems

Advanced theory

Advanced Information Security

Advanced math

Final project

Congratulations

Code of conduct

How to show your progress

Team

mcp-for-beginners

microsoft/mcp-for-beginners

🌐 Multi-Language Support

Supported via GitHub Action (Automated & Always Up-to-Date)

🚀 Model Context Protocol (MCP) Curriculum for Beginners

Learn MCP with Hands-on Code Examples in C#, Java, JavaScript, Python, and TypeScript

🧠 Overview of the Model Context Protocol Curriculum

🔗 Official MCP Resources

Join us for MCP Dev Days 29-30th July 2025

Event Details

Day 1: MCP Productivity, DevTools, & Community:

Day 2: Build MCP Servers with Confidence

Topics include:

🧭 MCP Curriculum Overview

📚 Complete Curriculum Structure

💻 Sample Code Projects

Basic MCP Calculator Samples

Advanced MCP Implementations

🎯 Prerequisites for Learning MCP

📚 Study Guide & Resources

Study Guide

Changelog

🛠️ How to Use This Curriculum Effectively

🌟 Community Thanks