Create, launch, and optimize GPTs while preparing for agent-first AI
Note: Course Free for limited time and limited users(500 limit) so Enroll ASAP. If not free it means you are late. Scroll Down and click Enroll Now button to get enrolled
Scroll Down and click Enroll Now Button to get enrolled into the Free Course
Apply Coupon Code: FEBFREE02
What you’ll learn
- Master Python programming from scratch, even with zero experience.
- Understand the basics of AI, machine learning, and neural networks.
- Grasp essential math concepts, including algebra, calculus, and statistics.
- Build and deploy over 150 hands-on AI and ChatGPT projects.
- Learn to customize and publish ChatGPT models for real-world use.
- Gain proficiency in problem-solving with AI tools and frameworks.
- Develop practical coding skills through step-by-step video tutorials.
- Understand data handling, preprocessing, and model evaluation.
- Learn industry best practices for AI project deployment.
- Build confidence to tackle advanced AI and programming challenges.
Explore related topics
This course includes:
- 3.5 hours on-demand video
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Course content
6 sections • 30 lectures • 3h 44m total length
- Certificate of Completion
- Creating and Publishing GPTs to ChatGPT Store Part 1
- Creating and Publishing GPTs to ChatGPT Store Part 2
- Creating and Publishing GPTs to ChatGPT Store Part 3
- Clawdbot and the Shift to Agent-First Computing
- From Prompts to Products
- Instruction Hierarchy That Works
- Designing Guardrails & Boundaries
- Tone, Personality, and Consistency
- Testing GPTs Like a Product
- When a GPT Needs Tools
- Attaching Knowledge Sources
- Designing Retrieval Behavior
- Tool Invocation Mental Models
- Avoiding Over-Engineering
- ChatGPT Store Discovery Mechanics
- Naming, Descriptions, and Positioning
- Iterating After Publishing
- User Feedback Loops
- Common Publishing Mistakes
- GPTs as Lead Magnets
- Internal vs Public GPTs
- GPTs for Education, Ops, and Sales
- Pricing, Access, and Value
- Packaging GPTs with Services
- GPTs vs Agents
- What Makes an Agent “Agentic”
- Where Clawdbot Fits
- Agent-Native Product Design
- Your Next Steps as an Agent Builder
- No prior programming or AI experience is needed.
- A computer or laptop with internet access.
- A willingness to learn and explore AI and programming concepts.
- Basic computer literacy (e.g., browsing, installing software).
- Curiosity and enthusiasm for building AI projects.
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.
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.
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.
Who this course is for:
- Absolute Beginners: No prior programming or AI knowledge required.
- Aspiring AI Enthusiasts: Individuals curious about AI and ChatGPT.
- Students & Fresh Graduates: Those looking to build AI and programming skills.
- Career Switchers: Professionals aiming to transition into AI and tech fields.
- Entrepreneurs: Individuals interested in building and deploying AI-powered products.
- Tech Enthusiasts: Anyone passionate about learning AI, Python, and ChatGPT from scratch.
Note: The course is free for a limited time and limited to 500 users. Enroll as soon as possible. If it is no longer free, it means you are late, and it has already exceeded its limits.
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