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Federico Garay

What if you could build a complete application without writing a single line of code by hand?

What if all you needed was to know what you want to build and explain it clearly to an artificial intelligence?

Welcome to the world of Vibe Coding, a new way of programming... without programming.

This course is designed to teach you how to work hand-in-hand with AI to build real software: apps, games, interfaces, automations, and more—without needing advanced programming knowledge.

You won’t be memorizing syntax here.

Read more

What if you could build a complete application without writing a single line of code by hand?

What if all you needed was to know what you want to build and explain it clearly to an artificial intelligence?

Welcome to the world of Vibe Coding, a new way of programming... without programming.

This course is designed to teach you how to work hand-in-hand with AI to build real software: apps, games, interfaces, automations, and more—without needing advanced programming knowledge.

You won’t be memorizing syntax here.

You’ll learn how to think, structure, and communicate your ideas clearly, guiding the AI to build with you.

  • What Vibe Coding is, where it comes from, and why it’s a revolution in progress

  • How to generate complete applications using tools like Cursor, Windsurf, Bolt, and v0

  • How to create visual interfaces and fully functional apps from a single prompt

  • Techniques and strategies to craft clear, efficient, and powerful prompts

  • How to work with iterations, rules, file structure, and visual styles

  • Practical cases with real projects: games, landing pages, admin apps, and more

  • Best practices to keep your code readable, understandable, and sustainable over time

  • Ethical and professional reflections on the use of AI in programming

This course is divided into four main sections:

  1. Foundations of Vibe Coding: Understand what this new methodology is all about, how it started, and why it’s transforming the industry.

  2. Essential Tools: Learn how to use Cursor, Windsurf, Bolt, and v0—from installation to your first real project.

  3. Hands-On Projects: Apply everything you’ve learned in 4 complete projects, one with each tool. You’ll build a note-taking app, a memory game, an event landing page, and more.

  4. Final Challenges & Reflections: How to improve your prompting, how to ensure code quality, and what this approach means for the professional and ethical world of development.

Hundreds of thousands of students have learned to code with my 50+ courses, including Python Total, Python for Data Science, SQL Total, JavaScript Total, and many more.

This course is designed so you can build without manually writing code, using natural language, clear logic, and creative thinking.

It’s a way of creating without fear, without technical barriers, and without mental limits.

If you’ve ever had an idea and thought, “I can’t make it happen because I don’t know how to code,” then this course is for you.

See you in Lesson #1.

—Fede

Enroll now

What's inside

Learning objectives

  • Achieve building real applications and websites in minutes without writing a single line of code
  • Understand what vibe coding is and how it differs from traditional programming
  • Use tools like cursor, windsurf, bolt, and v0 to create real software
  • Write clear, efficient, and structured prompts to guide an ai in code development
  • Design modern interfaces using natural language in visual environments with ai
  • Apply review and improvement techniques to ensure code quality and maintainability
  • Build complete projects from start to finish, guiding the ai step by step
  • Make responsible and ethical decisions when using ai in software development

Syllabus

Introduction to Vibe Coding
Welcome to the Vibe Coding Course
Practical Demo: Creating a Program in Minutes with Vibe Coding
What is Vibe Coding?
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Career center

Learners who complete Vibe Coding from Scratch: Learn to "Code" Using AI will develop knowledge and skills that may be useful to these careers:
Prompt Engineer
As a Prompt Engineer, you specialize in crafting precise and effective instructions for artificial intelligence models to generate desired outputs, whether code, content, or designs. This course is exceptionally relevant as it focuses explicitly on "techniques and strategies to craft clear, efficient, and powerful prompts" to guide AI in building software. Learners will understand how to "think, structure, and communicate your ideas clearly," a core skill for this role. You will learn to work with tools like Cursor and v0 to transform abstract concepts into tangible applications, making you adept at leveraging AI for complex development tasks. This course is ideal for anyone looking to master the art of communicating with AI to drive innovative software creation.
No-Code Developer
A No Code Developer builds applications and digital solutions without writing traditional programming code, relying instead on visual development tools and configurations. This course directly aligns with this profession, teaching you "how to work hand-in-hand with AI to build real software: apps, games, interfaces, automations—without needing advanced programming knowledge." You will gain practical experience using "Essential Tools" like Windsurf and Bolt to generate complete applications from natural language prompts. The emphasis on "creating without fear, without technical barriers" positions this course as a foundational pathway for aspiring No Code Developers eager to bring their ideas to life rapidly and efficiently.
AI Application Developer
An AI Application Developer focuses on designing, building, and deploying software applications that leverage artificial intelligence capabilities. This course is tailored for individuals aspiring to this role, demonstrating how to "work hand-in-hand with AI to build real software: apps, games, interfaces, automations." You will learn to use cutting-edge tools such as Cursor and v0 to quickly generate functional applications, understanding how to "guide the AI step by step." The course also covers "best practices to keep your code readable, understandable, and sustainable over time," ensuring that the AI-generated code meets professional quality standards, which is vital for an AI Application Developer.
Digital Product Creator
Digital Product Creators conceptualize, design, and launch new digital products, ranging from applications to interactive experiences. This course enables you to become a highly effective Digital Product Creator by teaching you to "build a complete application without writing a single line of code" and to "build real software: apps, games, interfaces, automations." You will acquire the skills to transform ideas into fully functional products rapidly using "natural language, clear logic, and creative thinking." The practical experience with tools like Windsurf and Bolt, and building projects such as a note-taking app or an event landing page, provides the hands-on expertise needed to innovate and deliver digital products efficiently.
User Interface Designer
A User Interface Designer focuses on the visual and interactive elements of digital products, ensuring they are aesthetically pleasing and intuitive for users. This course directly addresses key aspects of this role by teaching you how to "create visual interfaces and fully functional apps from a single prompt" and to "design modern interfaces using natural language in visual environments with AI." You will gain practical experience in working with "visual styles" and using tools like v0 to craft appealing and functional user interfaces. This course empowers you to rapidly prototype and iterate on designs, making it an excellent foundation for a User Interface Designer who wishes to leverage AI for efficient and innovative design processes.
Automation Specialist
Automation Specialists design and implement systems that automate repetitive tasks and processes, improving efficiency and reducing manual effort. This course is highly relevant for an Automation Specialist, as it directly teaches how to "build real software: apps, games, interfaces, automations" without writing traditional code. By learning to "think, structure, and communicate your ideas clearly" to guide AI, you will be well-equipped to define and generate automation solutions swiftly. The ability to use tools like Cursor and Bolt to develop functional applications from prompts means you can rapidly deploy custom automation tools tailored to specific business needs, making processes more streamlined.
Solutions Architect
A Solutions Architect designs comprehensive technical solutions that meet business requirements, often overseeing the structural integrity and scalability of systems. While this role typically requires an advanced degree, this course may be useful for an aspiring Solutions Architect focused on leveraging AI for rapid prototyping and solution development. You will learn to "think, structure, and communicate your ideas clearly," and understand "file structure" and "rules," which are fundamental to architecting solutions. The capacity to "generate complete applications" from prompts using tools like Cursor and Windsurf allows you to quickly conceptualize, validate, and demonstrate architectural patterns with AI-assisted development. This provides a modern approach to solution design.
Web Designer
A Web Designer creates the visual look, layout, and user experience for websites, blending aesthetics with functionality. This course provides highly relevant skills for a Web Designer, particularly through its focus on how to "create visual interfaces and fully functional apps from a single prompt" and "design modern interfaces using natural language." The practical project of building an "Event Landing Page" with v0 directly applies to web design deliverables. Learners will master working with "visual styles" and efficient prompting techniques to guide AI in generating engaging web layouts. This innovative approach allows a Web Designer to rapidly prototype, iterate, and launch web projects, significantly accelerating the design and development process.
User Experience Specialist
A User Experience Specialist focuses on enhancing user satisfaction by improving the usability, accessibility, and pleasure provided in the interaction with a product. This course can be helpful for a User Experience Specialist as it teaches how to "design modern interfaces using natural language in visual environments with AI," and how to create "apps, games, interfaces." By learning to structure ideas and work with "iterations" and "visual styles," you can rapidly prototype and test user flows generated with AI tools. The course’s emphasis on transforming ideas into functional applications allows you to quickly bring user-centered designs to life, enabling faster feedback loops and more agile UX development.
Technical Project Manager
A Technical Project Manager oversees the planning, execution, and delivery of technical projects, ensuring they meet scope, budget, and timeline objectives. This role often requires prior experience or an advanced degree. This course may be useful for a Technical Project Manager in an AI-driven development environment, as it teaches you to "think, structure, and communicate your ideas clearly" to guide AI in building software. You will learn to "apply review and improvement techniques to ensure code quality and maintainability," which is critical for project oversight. The ability to "build complete projects from start to finish, guiding the AI step by step," provides a unique perspective on managing rapid, AI-assisted software development lifecycles.
Game Developer
A Game Developer creates video games, from conceptualization and design to programming and testing. This course is highly applicable for an aspiring Game Developer, demonstrating how to "build real software: apps, games, interfaces, automations" without conventional coding. The curriculum includes "Practical cases with real projects: games," with specific examples like building a "Visual Memory Game" and a "Trivia Game" using tools such as Cursor and Bolt. By mastering prompting techniques, you can guide AI to generate game logic, interfaces, and content, transforming game ideas into playable experiences rapidly. This approach removes traditional programming barriers, allowing for more creative focus.
Technical Business Analyst
A Technical Business Analyst bridges the gap between business needs and technical solutions, translating stakeholder requirements into actionable plans for development teams. This course may be helpful for a Technical Business Analyst, as it emphasizes "how to think, structure, and communicate your ideas clearly" to guide AI in software creation. This skill is paramount for articulating precise requirements that AI tools can effectively use. By understanding how to "generate complete applications using tools like Cursor, Windsurf, Bolt, and v0," you can better define what is technically feasible with AI-assisted development and even prototype solutions quickly to validate requirements with stakeholders.
Solutions Consultant
A Solutions Consultant advises clients on implementing technology solutions to address their business challenges, often involving product demonstrations and custom configurations. This course may be useful for a Solutions Consultant, as it equips you with the ability to "build real software: apps, games, interfaces, automations" rapidly without traditional coding. Your expertise in "Vibe Coding" and tools like Windsurf and Bolt allows you to quickly prototype tailored applications and demonstrate potential solutions to clients, illustrating how AI-driven development can meet their specific needs. The course's focus on clear communication and structuring ideas is also beneficial for effectively articulating technical strategies and proposed solutions.
Innovation Manager
An Innovation Manager identifies, develops, and implements novel ideas, technologies, and processes to drive growth and competitive advantage within an organization. This course may be helpful for an Innovation Manager aiming to understand and leverage cutting-edge development methodologies. It introduces "Vibe Coding, a new way of programming... without programming," highlighting its revolutionary potential. By learning how to "generate complete applications using tools like Cursor, Windsurf, Bolt, and v0" and build "without fear, without technical barriers," you can explore and champion new ways of rapid product development and prototyping. This insight into AI-driven creation is valuable for fostering an innovative environment.
Content Strategist
A Content Strategist plans, creates, distributes, and manages content to achieve specific business or communication goals. This course may be helpful for a Content Strategist looking to expand their toolkit beyond traditional content formats. By learning to "create visual interfaces and fully functional apps from a single prompt" and build "landing pages" and interactive experiences using AI tools, a Content Strategist can design and rapidly deploy highly engaging, interactive content applications. This capability transforms how content can be delivered, moving beyond static pages to dynamic, user-driven digital products that capture attention and achieve strategic objectives in innovative ways.

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Vibe Coding from Scratch: Learn to "Code" Using AI.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
Focused on writing clean, readable, and maintainable code, this book provides principles and practices essential for any software developer. It is particularly useful for solidifying understanding of good coding standards and is widely recommended across the industry. It serves as an excellent reference for improving code quality.
Offers practical advice on a wide range of software development topics, emphasizing pragmatic approaches to coding, debugging, and problem-solving. It's considered a must-read for developers seeking to improve their craft and is highly relevant for both broadening and deepening understanding. The 20th-anniversary edition keeps its timeless principles relevant for contemporary developers.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
Provides a critical and material perspective on AI, examining its environmental costs, labor exploitation, and the power structures it reinforces. It is essential reading for understanding the broader societal and political context of AI development and is particularly valuable for those interested in the real-world impacts beyond technical discussions.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Provides an exceptionally practical, code-first curriculum that guides engineers from end-to-end data preprocessing and traditional regression pipelines to production deep learning models and generative neural networks.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
Provides a catalog of refactoring techniques to improve the design of existing code without changing its external behavior. It's a practical guide essential for maintaining and evolving software systems, highly relevant for solidifying good coding practices and deepening understanding of code improvement.
Delves into the fundamental principles and challenges of designing data systems that are reliable, scalable, and maintainable. It is highly relevant for contemporary software development, particularly for engineers working with large-scale data, and provides deep technical understanding.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
Seminal work on the principles and practices of continuous integration, continuous delivery, and deployment automation. It is highly relevant for understanding contemporary software development methodologies focused on frequent and reliable releases. It's valuable for deepening understanding and key reference in the field.
A seminal work that explores the psychology behind how we interact with everyday objects, this book provides a crucial foundation for understanding user behavior and designing intuitive interfaces. While not solely focused on digital UI, its principles are universally applicable and considered a must-read for anyone entering the design field.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
This seminal work, often referred to as the 'Gang of Four' book, introduces fundamental design patterns for object-oriented software. Understanding these patterns is crucial for designing flexible and maintainable applications. It's a classic that provides a deep understanding of software design principles. It valuable reference for developers and architects.
Written by members of Google's SRE team, this book details the practices and principles of Site Reliability Engineering, focusing on building and operating scalable and reliable systems. It's highly relevant for contemporary software development, particularly for those interested in operations, reliability, and large-scale systems. It provides deep insights into industry practices.
Introduces a new way of thinking about data science and AI, drawing on the principles of intersectional feminism. It highlights how power imbalances are embedded in data and algorithms and offers a framework for building more equitable and just data systems. It is highly relevant for understanding bias and fairness in AI.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
Explores the concepts and practices of designing and building microservices architectures. Given the prevalence of microservices in modern software development, this book is highly relevant for understanding contemporary approaches to system design. It's valuable for deepening understanding and serves as a practical guide.
Based on rigorous research, this book provides insights into the practices that drive high performance in technology organizations, focusing on Lean, DevOps, and continuous delivery. It's highly relevant for understanding contemporary trends and deepening knowledge in these areas, particularly for professionals and graduate students.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
Emphasizes the importance of communication in UI design and provides practical tools for solving real-life UI problems. It's a good resource for understanding the fundamental principles of creating user-centered interfaces through clear and effective communication.
Introduces Domain-Driven Design (DDD), an approach to software development that emphasizes aligning software design with the business domain. It is highly relevant for designing complex systems and provides a framework for deepening understanding of how to model software effectively based on business requirements.
Presents a framework for centering the voices and needs of marginalized communities in the design of technology and AI. It offers practical guidance and case studies for creating more equitable and just technological systems, making it valuable for designers, developers, and policymakers.
This handbook provides a comprehensive guide to understanding and implementing DevOps practices. It covers the cultural, automation, lean, measurement, and recovery aspects of DevOps. It's essential reading for anyone involved in the software delivery pipeline and looking to improve collaboration and efficiency.
Provides a practical introduction to Test-Driven Development (TDD) through a series of examples. It's a foundational text for understanding this important agile practice and is highly relevant for improving code quality and developer confidence. It's particularly useful for those looking to adopt TDD in their workflow.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
Delves into the technical aspects of designing algorithms that are fair, private, and transparent. It is particularly useful for students and professionals with a technical background who want to understand the computational challenges and solutions related to ethical AI. It can serve as a valuable reference for those building AI systems.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
This comprehensive textbook covers a wide range of algorithms and data structures, providing a theoretical foundation essential for understanding efficient code development. It core resource for deepening understanding, particularly for students and professionals focusing on the computational aspects of software development. It is often used as a textbook in university programs.
Provides a hands-on approach to prompt engineering with a focus on using the OpenAI API. It's particularly relevant for undergraduate students, graduate students, and working professionals who want to programmatically interact with LLMs. It serves as a practical guide for implementing prompt engineering techniques in applications.
Explores the psychological principles that influence user behavior and provides designers with a framework for creating persuasive and ethical products. It's a valuable resource for understanding the 'why' behind design decisions and is relevant for both UI and UX professionals.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
Examines the increasing power of algorithms in finance, search, and reputation, highlighting the lack of transparency and accountability. It provides crucial context for understanding the societal implications of opaque algorithmic systems and is valuable for students and professionals across various disciplines.
Explores common architectural patterns for building enterprise applications. It provides a catalog of patterns and explains their underlying principles and trade-offs. It's a valuable resource for architects and senior developers designing large-scale applications.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
This ebook covers various aspects of modern UI design, including typography, color, and layout, and delves into fundamental UI design principles. It's suitable for both designers and developers looking to improve their UI skills and understanding of core principles.
Co-authored by a co-founder of DeepMind, this book examines the transformative potential of AI and other frontier technologies while also highlighting the immense challenges of controlling them for the benefit of humanity. It provides a recent and insightful perspective on the opportunities and risks ahead.
This guide aims to make prompt engineering accessible with a step-by-step approach. It is well-suited for beginners and those new to the field, including high school students and those in introductory undergraduate programs. It provides practical tips and is useful for gaining a broad understanding of how to formulate effective AI prompts.
Explores the Staff Engineer role and technical leadership paths for individual contributors in software engineering. It addresses a contemporary career topic and provides guidance for experienced professionals looking to grow their impact without moving into management.
A comprehensive guide aimed at making prompt engineering accessible to a wide audience. It covers various techniques and applications for leveraging AI language models effectively. is useful for high school students through working professionals seeking a thorough introduction and practical guidance.
Written by a leading AI researcher, this book explores the long-term challenges of ensuring that advanced AI systems remain beneficial to humanity. It provides a comprehensive overview of the control problem and potential solutions, making it relevant for those interested in the future trajectory of AI and its ethical implications.
Serves as a comprehensive guide and reference for common UI design patterns and terminology. While some examples may be dated, the underlying principles and patterns remain highly relevant for understanding how to design effective and familiar interfaces.
Introduces core computational linguistics concepts and practical tokenization, tagging, and syntactic parsing workflows through clear Python examples, establishing strong fundamentals for language analysis.

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