AI Builder

Vanderbilt University via Coursera Specialization

Overview

Build the skills to create powerful AI apps, intelligent automations, and real-world AI solutions. Through hands-on projects, you'll learn prompt engineering, AI application development, and practical techniques for transforming ideas into working AI products.

Syllabus

Course 1: Build Anything with AI — No Code Required
Course 2: Build Apps with AI — From Idea to Working Product
Course 3: Prompt Engineering for ChatGPT
Course 4: OpenAI GPTs: Creating Your Own Custom AI Assistants
Course 5: Trustworthy Generative AI
Course 6: Generative AI Cybersecurity & Privacy for Leaders: A Primer

Courses

2 reviews

View details

ChatGPT and other large language models are going to be more important in your life and business than your smartphone, if you use them right. ChatGPT can tutor your child in math, generate a meal plan and recipes, write software applications for your business, help you improve your personal cybersecurity, and that is just in the first hour that you use it. This course will teach you how to be an expert user of these generative AI tools. The course will show amazing examples of how you can tap into these generative AI tools' emergent intelligence and reasoning, how you can use them to be more productive day to day, and give you insight into how they work. Large language models respond to instructions and questions posed by users in natural language statements, known as “prompts”. Although large language models will disrupt many fields, most users lack the skills to write effective prompts. Expert users, who understand how to write good prompts, are orders of magnitude more productive and can unlock significantly more creative uses for these tools. This course introduces students to the patterns and approaches for writing effective prompts for large language models. Anyone can take the course and the only required knowledge is basic computer usage skills, such as using a browser and accessing ChatGPT. Students will start with basic prompts and build towards writing sophisticated prompts to solve problems in any domain. By the end of the course, students will have strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their job, business, personal life, and education, such as writing, summarization, game play, planning, simulation, and programming.
0 reviews

View details

We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications. The course will show how you can: - Leverage prompt engineering techniques to generate more reliable outputs - Master methods to verify and validate outputs - Frame problems in alternative ways to reduce risk - Apply generative AI for creative ideation - Use Generative AI in ways that augment rather than replace human reasoning and creativity
0 reviews

View details

In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific needs? Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges. This cutting-edge course will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. The possibilities are endless! Throughout the course, you'll delve into the intricacies of building GPTs that can use your documents to answer questions, patterns to create amazing human and AI interaction, and methods for customizing the tone of your GPTs. You'll learn how to design and implement rigorous testing scenarios to ensure your AI assistant's accuracy, reliability, and human-like communication abilities. Prepare to be amazed as you explore real-world examples built around a GPT for Travel and Business Expense Management. The examples show how a GPT can help users book flights, hotels, and transportation while adhering to company policies and budgets. Additionally, the GPT can help streamline expense reporting and reimbursement processes, ensuring compliance and accuracy. Whether you're a business leader, entrepreneur, developer, or educator, this course will equip you with the skills to harness the transformative potential of custom GPTs. Unlock new realms of productivity, innovation, and personalized experiences by building AI assistants that truly understand and cater to your unique needs. Enroll now and join the forefront of AI revolution, where you'll learn to create intelligent systems that not only comprehend but also anticipate and exceed your expectations.
0 reviews

View details

Are you ready to lead your organization into the future of cybersecurity while safeguarding privacy in an increasingly AI-driven world? This primer provides an essential foundation in generative AI, exploring its transformative potential and the specific cybersecurity and privacy risks it introduces. Learn to embrace AI’s capabilities while maintaining trust, compliance, and security in your organization. What You'll Learn: - Safeguard Organizational Privacy: This primer will help you understand the privacy implications of AI systems and the risks posed by data fusion across platforms. - Address Emerging AI-Specific Threats: Develop a clear understanding of vulnerabilities like prompt injection, deepfakes, AI-enhanced phishing, and adversarial text in AI deployments. - Build Confidence in AI Adoption: Gain the foundational tools and techniques to implement secure environments for AI development and responsible usage. Who Is This Course For? - Cybersecurity and Privacy Leaders: Seeking a primer to harness AI while preserving organizational integrity. - IT Professionals: Interested in responsibly implementing AI within technical infrastructures. Business Executives: Looking for a foundational understanding of AI integration without compromising compliance or ethics. - Policy Makers: Aspiring to shape legislation around AI and privacy with a deep technical primer. Why Take This Course? Generative AI offers unmatched opportunities to enhance security and privacy, but it also brings novel challenges. From adversarial risks to complex data privacy concerns, leaders need a clear and concise primer to navigate these complexities effectively. This course provides the essential knowledge and skills to balance innovation with protection. By the end, you’ll be empowered to lead AI initiatives that drive progress while mitigating the unique cybersecurity risks posed by generative AI. With this primer, you’ll confidently lay the groundwork for safe and responsible AI adoption.
0 reviews

View details

What if you had a computer science PhD sitting next to you — one who could instantly turn your ideas into working software, sharp analysis, and beautiful visuals? You do. Modern AI tools like Claude Code, Claude Cowork, Claude Desktop, ChatGPT, OpenAI Codex, and MAJK can act as your personal expert in computing, realizing your thoughts and goals on your computer without you writing a single line of code. Here's the truth: the personal computer was never very personal. For fifty years, "using a computer" meant bending yourself around commodity software that never quite fit the way you work. That era is over. This is personalized computing — where the computing works the way you want, because you describe what you want and AI makes it real. This course teaches you the patterns for building with AI: the fundamental mental models and ways of interacting with AI that let you build anything you want without knowing how to code. You'll learn the architecture of how to communicate with AI to produce high-quality work — how to describe what you want, how to check the AI's work so you can trust it, and how to think through problems in computing the way a builder does, even if you're not a computer scientist. Most AI courses teach you tricks for specific tools. This one teaches you the building blocks that underlie all of them — the patterns behind every AI tool, today's and tomorrow's. Once you know these patterns, you can compose them: combining simple building blocks into solutions you never thought possible without a team of software engineers and data scientists working for you. And you'll prove it by building bold, genuinely cool things — custom to you, from your real digital life: - Unleash your AI on a chaotic folder of files and watch it reorganize everything into clean, logical order - Transform messy data into a stunning interactive dashboard your colleagues will ask you how you made - Turn your photos into a living, interactive experience that sees them through AI's eyes - Feed in a folder of credit card statements and get a forensic deep-dive on your spending — surfacing forgotten subscriptions and hidden savings - Build your own personal situation room: a command center that takes in your files, meeting reports, notes, and to-dos, discovers hidden insights, and draws your attention to what matters most By the end, you'll know what's possible, how to ask for it, and how to verify you got it. Computing that fits you, built by you. If you can describe it, you can build it.
0 reviews

View details

Build Apps with AI — From Idea to Working Product Have you ever had an idea for an app — something that would make your life easier, your business sharper, or your work faster — but no way to make it real? Maybe you needed a tool that doesn't exist. Maybe you saw exactly how software could transform your team, but didn't have the developers to build it. Maybe you've been carrying that idea around for years, waiting for the right moment or the right person. That moment is now. That person is you. AI agent tools like Claude Code, OpenAI Codex, ChatGPT Work, Claude Cowork, and MAJK have fundamentally changed who gets to build software. You describe what you want. The AI writes the code, runs the tests, fixes the bugs, and iterates until what you imagined is actually running on your machine. No engineering team. No coding experience. No waiting. What's shifted is the role of the human. You don't need to know how to code — you need to think like a product owner. How to break an idea into buildable steps. How to describe what you want so the AI doesn't guess. How to test what it produces so you can trust it. How to push it further without losing what's already working. That's exactly what this course teaches. Not tricks for a specific tool — the mental models and patterns that work across Claude Code, Codex, MAJK, and every agent that comes after them. If you can describe what you want, you can build it. You'll prove it by shipping real things — apps that solve problems you actually have: Build a personal expense analyzer — drop in your bank statements and get a custom web app that surfaces your real spending patterns, flags unusual charges, and tracks what matters to you Ship your own file intelligence tool — an app that ingests a folder of documents, understands what's in them, and lets you search, summarize, and query your own files like a private research assistant Create a custom dashboard from scratch — connect your own data sources and build a live dashboard that shows exactly the metrics you care about, designed exactly the way you want Launch a working web app in a single session — go from blank slate to deployed product: a real URL, real functionality, built by you with an AI agent doing the heavy lifting Build your own automation tool — describe a workflow you do manually every week and turn it into software that runs it for you By the end, you won't just know what AI can build — you'll have built it yourself. You'll have the instincts of a product builder, the vocabulary to direct AI agents confidently, and a portfolio of working software that proves what's now possible. The gap between "I have an idea" and "I have a product" just collapsed. This course is how you walk through it. After this course, the most difficult decision will be what NOT to build. When anything is possible, knowing what ideas to pursue is what is hard.