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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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Career center

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 haven't picked any books for this reading list yet.
A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
Explores the potential impact of LLMs on the future of AI and society. It discusses the ethical implications of LLMs and the challenges that need to be addressed.
This classic textbook covers a wide range of topics in speech and language processing, including LLMs. It provides a comprehensive overview of the field and valuable resource for anyone who wants to learn more about LLMs.
Provides a detailed overview of language models, including LLMs. It focuses on the theoretical foundations of language models and their applications in NLP.
Provides a comprehensive overview of deep learning, including LLMs. It valuable resource for anyone who wants to learn more about the theoretical foundations of LLMs.
Focuses on the use of prompt engineering for recommendation systems. It is written by Masashi Sugiyama, a leading researcher in the field of recommendation systems.
Focuses on the use of prompt engineering for natural language processing. It is written by Thomas Wolf, a leading researcher in the field of NLP.
For those who want to understand the mechanics of LLMs deeply, this book guides you through building one from scratch. This is highly technical and suitable for advanced undergraduate students, graduate students, and researchers. A deep understanding of LLM architecture is beneficial for advanced prompt engineering techniques.

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