What will I actually learn in this custom GPT course?

You'll learn how to design custom GPTs that use instructions, added knowledge, and interaction patterns to support a specific task. It begins with core ideas like shaping a GPT's behavior and bringing in outside information, then moves into testing, safer responses, and better user guidance. You'll apply that through examples such as travel and business expense assistance, where the GPT has to follow policies and respond clearly.

Do I need any background before starting this course?

No, you don't need prior experience building GPTs. The course begins with fundamentals like instructions, knowledge, and conversation design before moving into retrieval-augmented generation and testing. Some familiarity with using generative AI tools may help, but it doesn't assume you've already created custom assistants.

Is this course beginner-friendly for custom GPTs?

Yes, it's beginner-friendly if you're new to custom GPTs and want a guided introduction rather than a deep dive into model development. You'll move through short lessons, readings, quizzes, and structured assignments that build from setup choices into testing and safer interaction design. It's a good fit for domain-focused learners, but it may feel less ideal if you're looking for a code-heavy engineering course.

How long does it take to complete this course?

Plan on about 8 hours in total. That makes it manageable in a few focused study sessions, with time spread across lessons, readings, quizzes, and graded assignments. The course includes lessons, readings, quizzes, and hands-on assignments, so the workload feels mixed rather than repetitive.

Are there hands-on exercises or projects in this course?

Yes, there is hands-on work, but it's closer to guided assignments than open-ended labs. You'll create custom GPTs using approaches like persona design and menu actions, and you'll also build benchmarks or test case generators to evaluate how a GPT performs. That gives you a chance to apply each idea in a realistic workflow instead of only reading about it.

What skills and topics are covered in this course?

You'll cover the main pieces of a custom GPT, including instructions, knowledge, tools, and ways to shape tone and behavior. The course also teaches retrieval-augmented generation and response patterns for asking better questions, structuring outputs, and handling ambiguity. Taken together, those topics focus on building assistants that are more useful, clearer, and safer in real interactions.

What can I actually do after finishing this course?

After finishing, you should be able to design a custom GPT for a defined use case and explain how its instructions, knowledge, and interaction style support that task. You should also be able to test it more systematically, including expected cases, ambiguous cases, and higher-risk situations. For example, you could create a travel or expense assistant that asks clarifying questions, uses policy documents, and responds within clearer boundaries.

Is this course more focused on theory or hands-on learning?

It's more concept-first with guided hands-on practice. The course spends a lot of time on frameworks, prompt patterns, and reliability choices, then asks you to apply them in assignments and sample interactions. It's a better fit for learners who want to understand how to design good GPT behavior than for those looking for a project-heavy build course.

Why would I choose this course over other custom GPT courses?

This course stands out for treating custom GPT creation as both design work and evaluation work. Rather than stopping at setup, it walks you through testing, ambiguity, boundaries, and adversarial inputs alongside persona, knowledge, and interaction design. Choose it if you want a beginner-friendly course that helps you build more dependable assistants for real use cases, not just quick demos.

OpenAI GPTs: Creating Your Own Custom AI Assistants

OpenAI GPTs: Creating Your Own Custom AI Assistants

本课程是多个项目的一部分。

位教师：Dr. Jules White

顶尖授课教师

76,327 人已注册

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3个模块

深入了解一个主题并学习基础知识。

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3个模块

深入了解一个主题并学习基础知识。

773 条评论

初级等级

无需具备相关经验

灵活的计划

7 小时完成

自行安排学习进度

98%

大多数学生喜欢此课程

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授课语言：英语（English）

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该课程共有3个模块

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.

单元详情

In this module, you will learn the core concepts behind building custom GPTs, including how to shape a GPT’s behavior through instructions, add relevant external knowledge using retrieval-augmented generation (RAG), and bring these elements together into a more capable and personalized AI assistant. You will also explore how tools and actions expand what a custom GPT can do, and how frameworks such as CAPITAL, prompt patterns, and persona design can be used to shape its tone, behavior, and overall user experience.

涵盖的内容

7个视频4篇阅读材料2个作业

7个视频总计58分钟

Welcome1分钟
Programming a GPT9分钟
Custom Instructions10分钟
Retrieval Augmented Generation12分钟
Putting it All Together: Custom GPTs9分钟
Understanding How GPTs Use Tools11分钟
Building a Persona for Your Custom GPT6分钟

4篇阅读材料总计40分钟

CAPITAL: A Framework for Customizing How Chatbots Converse10分钟
Prompt Patterns10分钟
Format of the Persona Pattern10分钟
Learning More & Staying Connected10分钟

2个作业总计46分钟

Create a Persona-Based Custom GPT30分钟
Practice Quiz16分钟

In this module, you will learn how to make custom GPTs more reliable, useful, and human-centered by testing them systematically and designing better interaction patterns. You will explore how to build simple benchmarks and create meaningful test cases, including expected, ambiguous, and high-risk scenarios, to evaluate GPT performance over time. You will also examine techniques such as direct quotations, output templates, the Flipped Interaction Pattern, menu-based navigation, and feature toggles to structure responses, gather the right context, and guide users more effectively. Throughout the module, the focus is on building GPTs that support human reasoning, surface ambiguity, and direct users toward the right evidence, options, or human support when needed.

涵盖的内容

14个视频4篇阅读材料3个作业

14个视频总计64分钟

Test1分钟
Build a Benchmark6分钟
Build a Custom GPT for Generating Test Cases9分钟
The Goal is to Help the Human Solve the Problem, Not Provide the Answer2分钟
How to Cite Knowledge4分钟
Output Formatting7分钟
Provide the Facts5分钟
Hedging While Helping4分钟
Menu Action Pattern6分钟
Where to Get Additional Help3分钟
Information Before Decision Making4分钟
Flipped Interaction Pattern4分钟
Missing Context from the User6分钟
User-Customized Experiences4分钟

4篇阅读材料总计50分钟

Benchmark Design Considerations20分钟
Template Pattern & Markdown10分钟
Format of the Menu Actions Pattern10分钟
Format of the Flipped Interaction Pattern10分钟

3个作业总计75分钟

Build Your Own Custom GPT Test Case Generator30分钟
Building a GPT with a Menu30分钟
A Personalized GPT15分钟

In this module, you will learn how to make custom GPTs safer and more reliable when users ask unclear, ambiguous, or risky questions. You will explore how to define boundaries and ‘escape valves’ so a GPT knows when not to answer directly, how to handle ambiguity, conflicting information, or gaps in knowledge sources and user prompts, and how to guide users more effectively through prompt patterns such as question refinement, alternative approaches, and cognitive verification. By the end of the module, you will understand how to design custom GPTs that remain helpful while reducing the risk of misleading, overconfident, or unsupported responses.

涵盖的内容

10个视频3篇阅读材料1个作业

10个视频总计46分钟

Boundaries5分钟
How to Respond to the Absence of Knowledge5分钟
Combating Ambiguity in User Prompts with Question Refinement6分钟
Enforcing Boundaries & Still Helping with the Alternative Approaches Pattern5分钟
Cognitive Verifier Pattern5分钟
Handling Ambiguity in Concept Mapping4分钟
Knowledge Conflict Resolution5分钟
You and Your Business are Responsible, Not the Bot3分钟
Adversarial Testing7分钟
Wrapping Up0分钟

3篇阅读材料总计30分钟

Format of the Question Refinement Pattern10分钟
Format of the Alternative Approaches Pattern10分钟
Format of the Cognitive Verifier Pattern10分钟

1个作业总计30分钟

Design a GPT Using Response Improvement Patterns30分钟

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位教师

授课教师评分

(255个评价)

顶尖授课教师

Dr. Jules White

Vanderbilt University

52 门课程1,177,937 名学生

提供方

Vanderbilt University

学生评论

5 stars
87.09%
4 stars
10.19%
3 stars
1.03%
2 stars
0.51%
1 star
1.16%

显示 3/773 个

已于 Aug 10, 2024审阅

Jules White is an exceptional teacher in his expertise and clarity of presenting the material. Also his enthusiasm in contagious in the best possible way!

已于 Jul 26, 2025审阅

This course is overall good. However, we need to copy and paste our data from GPT, which does not seem like a good idea. It can instead be an MCQ-based test based course.

已于 Oct 22, 2025审阅

Thank you for such a wonderful course. This course taught me many new things. The course curriculum was well planned and it was easy to understand many new concepts.

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