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Scott Reed
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Syllabus

Introduction to Vibe Coding with Artificial Intelligence
This module introduces the foundations of Vibe Coding, a new approach to programming powered by large language models (LLMs). You'll learn how Vibe Coding differs from traditional coding methods, how AI tools assist in writing code, and why this matters for both beginners and experienced developers. The module also covers setting up your AI-assisted coding environment and practicing with platforms like Replit, Lovable, and Bolt. By the end, you'll be ready to code using natural language prompts and explore what’s possible with modern AI.
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Learners who complete Vibe Coding Fundamentals will develop knowledge and skills that may be useful to these careers:
Prompt Engineer
A Prompt Engineer crafts precise instructions for artificial intelligence models to generate desired outputs, effectively acting as an AI whisperer to guide complex systems. This career path is a direct application of the "Vibe Coding Fundamentals" course, which extensively covers writing clear and precise prompts to help AI tools generate exactly what is needed. Learners become adept at understanding how to choose the right large language model and guiding LLMs effectively to create working programs from ideas. The course's focus on natural language programming and building functional applications without needing to inspect or modify code directly prepares individuals for this specialized, high-demand role. By mastering techniques for conversational debugging and avoiding unintended consequences, Vibe Coders are uniquely positioned to excel in refining AI interactions to achieve optimal results for business, education, and fun.
Artificial Intelligence Application Developer
An Artificial Intelligence Application Developer builds software leveraging AI capabilities to solve problems or create new experiences. This course is an excellent foundation for aspiring Artificial Intelligence Application Developers as it teaches how to build applications using artificial intelligence and vibe coding tools for diverse purposes, including business, education, and fun. The "Vibe Coding Fundamentals" curriculum introduces a new programming approach where AI tools assist in writing code, allowing learners to create functional applications using natural language prompts without needing to inspect or modify traditional code. This unique skill set in guiding LLMs effectively and using AI-assisted coding environments prepares individuals to innovate rapidly. Furthermore, the course addresses crucial aspects such as components, security, bias, and debugging, which are vital for developing robust and responsible AI applications, ensuring success in this dynamic career.
No-Code Developer
A No Code Developer constructs applications and websites using visual development platforms, minimizing or eliminating traditional programming. The "Vibe Coding Fundamentals" course is highly relevant for anyone pursuing a career as a No Code Developer, as its core philosophy aligns perfectly with building applications for business, education, and fun without needing to inspect or modify code. Learners gain proficiency in leveraging artificial intelligence tools and natural language prompts to generate exactly what they need, a skill directly transferable to no-code environments that empower rapid development. The curriculum provides hands-on experience with AI-assisted coding environments and methods to guide large language models effectively. Mastering techniques like conversational debugging and understanding components, security, and bias further equips individuals to deploy reliable, high-quality solutions, making this course an invaluable asset for entering the no-code development space.
AI Ethics and Governance Analyst
An AI Ethics and Governance Analyst investigates and develops policies to ensure artificial intelligence systems are fair, transparent, and accountable, mitigating risks like bias and misuse. This role often requires an advanced degree in a related field such as law, ethics, or computer science. The "Vibe Coding Fundamentals" course is highly relevant for an aspiring AI Ethics and Governance Analyst, as it directly addresses crucial topics like security, bias, and the imperative to avoid unintended consequences when building applications with artificial intelligence. By understanding how to choose the right large language model and guide LLMs effectively, learners gain practical insight into the origins and manifestations of AI-related issues. The hands-on experience with AI-assisted coding and conversational debugging techniques provides a deeper appreciation for the operational challenges and ethical dilemmas involved in deploying AI solutions for business, education, and fun, positioning individuals to contribute meaningfully to responsible AI development.
Business Process Automation Developer
A Business Process Automation Developer designs and implements solutions to streamline and automate repetitive tasks within organizations, often leveraging software tools and scripting. The "Vibe Coding Fundamentals" course provides a unique skill set for an aspiring Business Process Automation Developer. It focuses on building applications for business using artificial intelligence and natural language prompts, enabling the creation of custom automation tools without requiring deep traditional coding knowledge. Learners gain proficiency in guiding large language models effectively to generate functional applications. This approach allows for rapid development and deployment of solutions that can automate various business functions. By also covering components, security, bias, and conversational debugging techniques with AI tools, the course ensures that the automation solutions developed are not only efficient but also reliable and robust, directly supporting success in optimizing business operations.
Technical Support Specialist Artificial Intelligence
A Technical Support Specialist Artificial Intelligence assists users with issues related to AI-powered software, applications, or platforms, troubleshooting problems and providing solutions. The "Vibe Coding Fundamentals" course is highly relevant for an aspiring Technical Support Specialist Artificial Intelligence because it provides direct experience with diagnosing and resolving issues in AI-built applications. The module on identifying and fixing errors using conversational debugging techniques with AI tools is particularly valuable. Learners also gain practical skills in creating effective checkpoints and rolling back to earlier versions, which are critical for restoring functionality and maintaining system stability. Understanding how to build functional applications using natural language prompts, leveraging large language models, and addressing security and bias issues equips support specialists to understand the root causes of problems and guide users effectively, enabling them to troubleshoot complex AI application issues with confidence.
Educational Technology Specialist
An Educational Technology Specialist integrates technology into learning environments to enhance teaching and student engagement. This involves designing, developing, and implementing innovative digital tools. The "Vibe Coding Fundamentals" course is an excellent resource for aspiring Educational Technology Specialists because it explicitly teaches how to build applications for education using artificial intelligence. Learners will develop proficiency in using vibe coding tools and natural language prompts to create functional applications, which can be immensely powerful for developing custom educational resources or interactive learning modules. The ability to guide large language models effectively and leverage AI-assisted coding environments allows for rapid prototyping of educational solutions. Furthermore, the course's attention to debugging with AI tools and avoiding unintended consequences ensures that the educational technology developed is robust and ethically sound, directly equipping individuals to innovate in pedagogical practices.
Low Code Platform Specialist
A Low Code Platform Specialist utilizes platforms that enable rapid application development through graphical interfaces and minimal manual coding, significantly speeding up software delivery. The "Vibe Coding Fundamentals" course is exceptionally well-suited for an aspiring Low Code Platform Specialist. It emphasizes building applications using artificial intelligence through natural language prompts, a methodology that streamlines development similar to low-code environments by reducing reliance on traditional coding. Learners gain proficiency in guiding large language models effectively and leveraging AI-assisted coding environments like Replit, Lovable, and Bolt to create working programs for business, education, and fun. The knowledge of components, security, bias, and conversational debugging techniques with AI tools provides a comprehensive skill set for building reliable and scalable solutions, making this course invaluable for mastering modern low-code development practices.
Digital Product Manager Artificial Intelligence
A Digital Product Manager Artificial Intelligence guides the development and strategy of AI-powered products, translating market needs into product features and overseeing their lifecycle. This role requires a strong grasp of AI capabilities and the development process. The "Vibe Coding Fundamentals" course is highly relevant, equipping aspiring Digital Product Managers with a unique perspective on building applications using artificial intelligence through natural language prompts. Understanding how to choose the right large language model, guiding LLMs effectively, and creating functional applications without traditional coding provides invaluable insight into rapid prototyping and AI-driven development workflows. Furthermore, the course's emphasis on components, security, bias, debugging with AI tools, and avoiding unintended consequences is directly applicable to managing the ethical and practical challenges of AI product development, helping to ensure successful product launches for business, education, and fun.
Technical Consultant Artificial Intelligence
A Technical Consultant Artificial Intelligence advises organizations on the strategic implementation of AI technologies, helping them identify opportunities and overcome technical challenges. This role often involves understanding how to integrate AI solutions into existing systems. The "Vibe Coding Fundamentals" course may be useful for an aspiring Technical Consultant Artificial Intelligence by providing hands-on experience in building applications using artificial intelligence through natural language prompts. Consultants need to grasp the practical capabilities and limitations of AI tools. This course's focus on guiding large language models effectively, setting up AI-assisted coding environments, and understanding components, security, and bias offers a solid foundation. The ability to quickly prototype and demonstrate AI solutions for business, education, and fun, as taught in this course, can be invaluable for illustrating AI's practical potential to clients and advising on its strategic deployment across various industries.
Artificial Intelligence Trainer
An Artificial Intelligence Trainer educates users and teams on how to effectively utilize AI tools and platforms, often focusing on practical application and best practices. The "Vibe Coding Fundamentals" course may be helpful for an aspiring Artificial Intelligence Trainer because it provides a foundational understanding of how to interact with and guide large language models to build functional applications. The emphasis on natural language prompts, choosing the right LLM, and leveraging AI-assisted coding environments gives a practical, user-centric perspective on AI tools. While trainers typically focus on existing tools, the course's detailed coverage of how Vibe Coding works, including debugging with AI tools and avoiding unintended consequences, equips a trainer to explain AI system behavior and limitations more thoroughly. This holistic understanding can enrich training programs for professionals seeking to integrate AI into their work.
User Experience Artificial Intelligence Designer
A User Experience Artificial Intelligence Designer focuses on creating intuitive and effective interactions for AI-powered products and services, ensuring they are user-centric and ethical. The "Vibe Coding Fundamentals" course may be useful for an aspiring User Experience Artificial Intelligence Designer, as it imparts a practical understanding of how artificial intelligence tools can be used to build applications through natural language prompts. While not a design course, the curriculum's deep dive into guiding large language models effectively and the considerations of components, security, bias, and avoiding unintended consequences are directly relevant to designing responsible and user-friendly AI. By understanding the underlying mechanisms of AI-assisted development and conversational debugging, a UX designer can better anticipate user needs, design appropriate interfaces, and mitigate potential issues arising from AI system interactions, contributing to more robust and ethical AI experiences.
Content Strategist Artificial Intelligence
A Content Strategist Artificial Intelligence develops and oversees content initiatives that leverage AI tools for generation, optimization, or distribution, ensuring alignment with brand goals and audience needs. The "Vibe Coding Fundamentals" course may be helpful for an aspiring Content Strategist Artificial Intelligence by providing a unique perspective on how to effectively guide large language models through natural language prompts to generate specific outputs. While the course focuses on application building for business, education, and fun, the core skill of prompt engineering and understanding LLM capabilities is highly transferable to content generation. Learning about components, security, bias, and avoiding unintended consequences also equips strategists to implement AI-driven content ethically and responsibly. This practical understanding of AI-assisted creativity can empower a Content Strategist to develop innovative content workflows and create compelling, AI-powered narratives and interactive experiences.
Artificial Intelligence Research Assistant
An Artificial Intelligence Research Assistant supports researchers in exploring and developing novel AI theories, algorithms, or applications, often involving data collection, model training, and experimentation. The "Vibe Coding Fundamentals" course may be helpful for an aspiring Artificial Intelligence Research Assistant by providing a practical understanding of how artificial intelligence tools and large language models can be leveraged to build applications. While research typically involves deeper theoretical or algorithmic work, the course's focus on understanding LLM features, prompt engineering, and building functional applications using natural language can be useful for quickly prototyping ideas or interacting with existing AI systems for experimental purposes. Furthermore, the modules covering components, security, bias, and debugging, help in recognizing potential issues in AI systems, which is crucial for ethical and robust research. This hands-on experience, particularly with AI-assisted coding environments, can aid in exploratory research and tool development.
Data Engineer Artificial Intelligence Tools
A Data Engineer Artificial Intelligence Tools designs, builds, and maintains data pipelines and infrastructure, often specifically for AI and machine learning applications. While traditionally involving significant coding, the "Vibe Coding Fundamentals" course may be useful for an aspiring Data Engineer Artificial Intelligence Tools by providing a unique approach to building applications using artificial intelligence and natural language prompts. This can enable the rapid prototyping of data processing scripts or utility applications without needing to inspect or modify traditional code. Understanding how to choose the right large language model, guiding LLMs effectively, and leveraging AI-assisted coding environments can help automate certain data preparation or cleaning tasks. Gaining proficiency in conversational debugging and handling components, security, and bias in AI-generated applications provides a foundational understanding for working with AI systems in a data context.

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 Fundamentals.
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.
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 foundational understanding of debugging principles applicable to both software and hardware. It outlines nine fundamental rules and offers practical strategies for identifying and resolving bugs. This is an excellent starting point for anyone new to debugging, providing a solid framework before diving into language-specific techniques. It is widely recommended for its accessible approach and timeless advice.
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.
Is fundamental for anyone involved in application development, regardless of experience level. It provides practical principles and patterns for writing code that is readable, maintainable, and testable. While not a textbook on a specific technology, its concepts are universally applicable and essential for building robust applications. It is widely regarded as a must-read for developers.
Is an excellent starting point for gaining a broad understanding of Python, a core language used on Replit. It covers basic programming concepts and includes hands-on projects that can be directly applied to coding on the platform. It's commonly used as a textbook for beginners.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
Offers a wide range of practical advice on software development, focusing on creating better software and continuously improving as a developer. It covers topics such as personal responsibility, career development, and architectural techniques. It's a valuable resource for gaining a broader understanding of the craft of application development and is considered a classic.
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.
Drawing on extensive experience, this book presents a comprehensive collection of 66 specific and actionable debugging techniques. It covers a wide range of scenarios and provides practical advice for tackling complex software and system issues. is highly valuable for experienced programmers looking to expand their debugging toolkit and improve their efficiency in finding and fixing errors. It useful reference for various debugging challenges.
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.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
Foundational text on the principles and practices of Continuous Delivery, a crucial aspect of modern application development. It explains how to automate the build, test, and deployment process to enable rapid and reliable software releases. It's highly relevant for understanding contemporary development workflows and DevOps practices.
A highly contemporary topic, software supply chain security is critical in today's interconnected world. delves into the risks and controls needed to secure the entire software supply chain, from development to deployment. It's essential reading for understanding modern software security challenges beyond just the code itself.
Offers a comprehensive and critical examination of the entire lifecycle of AI, from the mining of raw materials to the labor involved and the environmental impact. It reveals the hidden costs and power structures behind AI, providing a broader context for understanding how bias is embedded in the very foundation of these systems. This book is excellent for gaining a deep and critical understanding of AI and its societal implications.
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.
Offers a systematic and theoretical approach to debugging, moving beyond ad-hoc methods. It covers techniques for reproducing failures, isolating causes, and understanding the debugging process from a scientific perspective. While it delves into theoretical concepts, it also provides practical examples and insights into automated debugging tools. This book is valuable for those who want to deepen their understanding of the underlying principles of debugging.
Comprehensive guide to the challenges of building data-intensive applications. It explores various data storage and processing technologies and the trade-offs involved in designing systems that are reliable, scalable, and maintainable. It's a crucial resource for developers and architects working with large-scale data systems.
Provides a practical introduction to Python by showing how to use it for automation, which aligns with the problem-solving aspect often encouraged on platforms like Replit. It's valuable for gaining hands-on experience and seeing Python's practical applications. The third edition was released in 2025, making it a very recent publication.
While not exclusively about AI, this book provides extensive evidence of how a lack of sex-disaggregated data and a male-centric default in design lead to bias and discrimination in various systems, including those that inform AI. It's a crucial read for understanding the importance of inclusive data collection and its impact on fairness in AI.
Provides a comprehensive overview of microservices architecture, a popular approach for building scalable and resilient applications. It covers various aspects, including modeling, integration, testing, deployment, and monitoring of microservices. It's essential reading for developers and architects working with or planning to adopt microservices. The second edition complete rewrite covering all aspects of the software delivery process impacted by adopting a microservice architecture.
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.
Is essential for learning how to improve the design of existing codebases without introducing new bugs. It provides a catalog of refactorings and explains when and why to apply them. It's a practical guide for maintaining and evolving applications, crucial for professional developers working with existing systems. The second edition is updated with a more functional approach and uses JavaScript examples.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
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 socially aware and fair. It's more technical than some of the other recommendations, making it suitable for those with a stronger technical background who want to understand the computational challenges and solutions related to AI bias. This book can serve as a useful reference tool for practitioners and researchers.
Authored by a renowned security researcher, this book explores the intricate security aspects of modern web browsers and applications. It delves into client-side security, browser vulnerabilities, and advanced attack techniques, making it valuable for those seeking a deeper understanding of contemporary web security challenges. It's a useful reference for advanced web security topics.
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.
The latest edition of this popular JavaScript book, updated to cover the 2024 version of the language. It's an excellent resource for staying current with JavaScript and deepening understanding for Replit projects.
For those looking to write more idiomatic and efficient Python code on Replit, this book is highly recommended. It dives into advanced language features and best practices, helping users write cleaner and more performant programs. The second edition was released in 2022.
Based on extensive research, this book provides data-driven insights into the practices that drive high performance in software development organizations. It connects lean principles, DevOps, and cloud computing to organizational performance. It's valuable for understanding the impact of technical practices on business outcomes and key resource for contemporary discussions in the field.
Offers practical strategies and techniques for finding, repairing, and preventing bugs, with a focus on enterprise software development. It provides a hands-on approach to improving your debugging skills and tackling common issues encountered in real-world projects. This book good resource for developers seeking to enhance their day-to-day debugging practices and reduce the number of defects in their code.
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.
Presents an approach to software development that focuses on modeling the business domain. It provides strategies for managing complexity in large and complex applications by aligning the software design with the business needs. It is particularly valuable for experienced developers and architects working on complex enterprise systems.
Examines the increasing power of algorithms and their lack of transparency in areas like finance, healthcare, and search engines. It discusses how these opaque systems can lead to unfairness and discrimination. This book valuable resource for understanding the broader societal implications of algorithmic decision-making.
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.
Drawing on decades of experience, this book emphasizes building security into the software design process from the outset. It provides a pragmatic approach to secure software development and is suitable for a wide range of software professionals. It's a good resource for understanding foundational security design principles.
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.
Focuses on a critical aspect of modern software development: securing the Continuous Integration/Continuous Deployment pipeline. It provides practical guidance on integrating security into the automation of the software release process, highly relevant for teams practicing DevOps and aiming for a DevSecOps approach.
Advocates for a framework of design justice, where technology and design processes are led by communities who are directly impacted by them. It offers practical guidance for creating more equitable and inclusive technologies, which is highly relevant to mitigating bias in AI development.
Focuses on advanced debugging techniques for .NET applications using native debugging tools like WinDBG. It delves into the internals of the .NET CLR and provides in-depth knowledge for tackling complex .NET bugs. This is an essential resource for experienced .NET developers and those involved in troubleshooting production issues.
Examines how bias is built into the technology products and systems we use every day, with a focus on the impact on women and other marginalized groups. It provides relatable examples of how biased algorithms can lead to harmful outcomes. This book offers a practical and accessible entry point into understanding bias in technology.
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.
Focuses on verification and debugging approaches specifically for embedded software with hardware dependencies. It covers the entire flow from design to debugging and explores various verification techniques. This specialized book for those working at the intersection of software and hardware in embedded systems.
Given the mention of JavaScript in the course titles, this book is crucial for understanding the language. It provides a comprehensive introduction to JavaScript and programming concepts, making it suitable for those with some or no prior programming knowledge.
Offers a feminist perspective on data science, highlighting how power and inequality are embedded in data and algorithms. It provides a set of principles for more ethical and equitable data practices, which are directly applicable to addressing AI bias. This book is valuable for understanding the social and political dimensions of data and AI.
This handbook provides a comprehensive overview of the legal, ethical, and policy implications of AI. It covers a wide range of topics related to AI governance, including bias and discrimination. valuable reference for researchers, policymakers, and advanced students interested in the regulatory landscape of AI.

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