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100% OFF Data Science ★ 4.4 32,374 students 3.5 hours

Create, Publish & Monetize GPTs on ChatGPT

Create, launch, and optimize GPTs while preparing for agent-first AI

Description


AI is rapidly moving beyond simple chatbots. Today’s most valuable AI systems are goal-driven, tool-aware, and designed to act, not just respond. This course is a fast, practical guide to building that next generation of AI—starting with custom GPTs and extending into agent-first thinking.

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In under two hours of focused, hands-on video content, you’ll learn how to design, publish, and evolve GPTs that behave like real products. This course is not about prompt tricks or theoretical discussions. It is about shipping usable GPTs, understanding how they fit into modern AI systems, and positioning yourself for where AI is clearly heading next.

You’ll begin by learning how to create and publish GPTs to the ChatGPT Store, broken into clear, step-by-step lessons. You’ll see how to define GPT behavior, structure instructions properly, test responses, and prepare your GPT for public use. By the end of this section, you’ll know exactly how to move from a blank GPT to a live, discoverable product.

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Next, the course dives into designing high-quality GPT behavior. You’ll learn how to move from single prompts to structured instruction hierarchies, how to design guardrails and boundaries, and how to create consistent tone and personality. This section focuses on making GPTs reliable, predictable, and useful—qualities that separate real tools from novelty demos.

You’ll then expand your GPTs with knowledge sources and tools, learning when and how to add retrieval, documents, and external capabilities without over-engineering. You’ll develop the mental models needed to design GPTs that know when to answer, when to retrieve information, and when to act.

Publishing a GPT is only the beginning, so the course also covers discovery, optimization, and iteration. You’ll learn how GPTs are surfaced in the ChatGPT Store, how naming and positioning affect usage, and how to improve your GPT based on real user feedback.

The final sections zoom out to the bigger picture: monetization and agent-first computing. You’ll explore how GPTs can be used as lead magnets, internal tools, or revenue-generating assets, and how they connect to execution agents like Clawdbot. You’ll gain a clear understanding of how GPTs differ from autonomous agents—and why agent-native product design is becoming the dominant paradigm.

This course is ideal for developers, product builders, educators, founders, and AI enthusiasts who want to build now while staying aligned with the future of AI. Short, practical, and forward-looking, this course helps you ship your first GPT—and prepares you to build what comes next.


Total Students32374
Duration3.5 hours
LanguageEnglish (US)
Original Price$44.99
Sale Price 0
Number of lectures30
Number of quizzes0
Total Reviews221
Global Rating4.43
Instructor NameSchool of AI

Course Insights (for Students)

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Student Satisfaction

90% positive recent sentiment

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Momentum

🚀 Surging this month

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Time & Value

  • Est. time: 3.5 hours
  • Practical value: 8/10

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Roadmap Fit

  • Beginner → Beginner → Advanced

Key Takeaways for Learners

  • Hands-on practice
  • Real-world examples
  • Project-based learning
  • Hands On
  • Real World

Course Review Summary

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What learners praise

  • Hands On
  • Real World
  • Case Study
  • Beginner Friendly

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Difficulty

Beginner

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Best suited for

New learners starting from zero

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