Build GPTs, Claude Artifacts, and Small Apps (No Code)

Name: Build GPTs, Claude Artifacts, and Small Apps (No Code)
Rating: 4.3 (183 reviews)

Become an AI Champion by using ChatGPT, Claude, Lovable to build AI tools for your team

Created byNicolle Merrill

Last updated 9/2026

English

English [Auto],Lithuanian [Auto],

What you'll learn

Build Custom GPTs and Google Gems that automate tasks and serve as AI assistants for your team.
Build AI micro-apps for your team using Claude's Artifacts feature for real workplace problems
Vibe code working tools and AI prototypes using Lovable
Identify where AI tools could solve problems and help team members
Identify the right AI tool for the job before you build, so you don't waste time on the wrong platform.
Test and iterate on AI assistants using real feedback before rolling them out to your team
Develop an AI builder mindset that helps you spot automation opportunities in any role
Go from idea to working AI tool in a single session using no-code and vibe coding approaches

Course content

4 sections • 24 lectures • 1h 35m total length

The AI jobs that this course prepares you for5:28
Prepare non-technical teams for emerging AI roles by learning to build no-code tools and prototypes, identify use cases, and apply workflow automation, prompt engineering, and AI tool configuration.
Embracing an AI builder mindset and experimentation2:53
Adopt an experimental mindset and master iteration by troubleshooting frustrations while building AI tools, learning to scope down, test prompts, and revise solutions through repeated attempts.

What are Custom GPTs and Google Gems?3:43
Explore custom GPTs and Google Gems as small, task-focused ai assistants that automate repetitive questions, demonstrate with a marketing campaign intake example, and compare subscription models and integration options.
When to use a Custom GPT or Gem (+ use cases)3:06
Identify when to use a custom gpt or gem by spotting repeated questions, tasks, or decision patterns, then build a shareable ai assistant trained on your processes.
What you need before you build3:06
Before building no-code ai tools, outline five pre-work items: define the task, specify knowledge, set rules and boundaries, choose output style, and assess the user and testing needs.
Demo: Building a Custom GPT or Gem9:21
Learn to build a custom GPT or Google gem without code by naming the assistant, writing clear prompts, uploading a knowledge base, and iteratively testing with real scenarios.
Tips for prompting your AI assistant (+ Custom GPT/Gem prompt template)3:59
Learn concise, role-specific prompting strategies to tailor AI assistants, set boundaries, specify formats and tones, reference uploaded materials, and keep prompts short and practical for efficient collaboration.
Adding documents and information to your knowledge base4:16
Upload and organize documents to build a knowledge base for your AI assistant. Use clean, labeled, relevant data and iteratively test to refine the information the assistant uses.
Testing your GPT and getting feedback2:37
Test your custom GPT or Google gem with real questions to verify tasks, probe edge cases, and gather feedback to iterate and reduce hallucinations and update the knowledge base.
Exercise: Improve the Onboarding Assistant1:16
Documenting your GPT for your team0:51

Overview of building micro-apps with Claude's Artifacts3:31
Learn to build micro-apps inside Cloud, delivering single-task tools with prompts and three AI habits to help users start using AI, reducing cognitive load with no-code setup.
How to identify what micro-apps to build2:53
Identify high-impact micro apps by analyzing the work being done, pain points, and repetitive tasks, then standardize outputs and support decision making and idea generation.
Demo: Building a micro-app for your team: Acronym Decoder7:02
Create a no-code acronym decoder micro-app for onboarding, uploading a glossary of acronyms, and decoding definitions with a simple, playful prompt-driven tool.
Exercise: Identify and build your micro-app with Claude1:43

Overview of vibe coding simple web apps and Lovable3:30
Explore vibe coding with lovable, a no-code tool that builds websites and apps from plain language. Describe your goal, AI generates code, you review and refine, then deploy.
Deciding what to build with vibe coding tools7:01
Explore how to decide what to build with vibe coding tools, from quick prototypes to reliable end-user tools. Emphasize no-code approaches, testing ideas fast, and communicating concepts to stakeholders.
Creating a project plan before you build (to save time and money)4:40
Define what you want to build with a project brief before coding, specifying the job, user needs, inputs, and outputs. Prioritize reliability, scope, and ownership to save time and credits.
Exercise: Create your project plan0:14
Prompting with Lovable4:24
Prompt with vibe coding using lovable, exploring a feedback translator that translates feedback into actions and tone. Build prompts by setting look and feel, adding design references, and iterating.
Iterating on your design2:04
Iterate through a four-stage design process—build, test, review, and revise—to turn initial outputs into useful, user-friendly AI tools. Assess layout, labels, output usefulness, and flow, embracing troubleshooting along the way.
Demo: Build an AI project risk evaluation tool for your team13:23
Demo shows how to build an AI project risk evaluation tool for your team using a no-code platform, enabling governance-focused risk scoring, data sensitivity checks, and executive review.
Exercise: Build your first tool in Lovable0:49
Wrap up: Pull it together for your AI portfolio3:20
Wrap up by showing how you expanded prompting skills, connected AI tools to existing systems, scoped use cases, documented tools, and built a portfolio to demonstrate your emerging AI skills.

Requirements

No coding experience required. You should be comfortable using AI chat tools like ChatGPT or Claude at a basic level.

Description

Improve your AI skills and go further than asking questions with ChatGPT.

AI Builder. AI Champion. AI Operator. These roles didn't exist three years ago but now they're popping up in emerging AI jobs. This course gives you the hands-on AI work to build your AI skill portfolio for your next role.

In this course, you'll build practical AI tools that you can use immediately in your own job.

You don't need a technical background. You don't need to write code. You need the right frameworks, the ability to choose the right platforms for your job, and a willingness to experiment. This course gives you all three.

What you'll learn how to build in this course:

A Custom GPT or Google Gem that handles real tasks for your team.
A micro-app with Claude that your colleagues can actually open and use.
A vibe-coded tool built with Lovable, no developer required.

Every section includes exercises so your first build happens during the course, not someday after it.

Who this is for:

You want to be the person on your team who actually builds things, not just talks about AI. Maybe you're in operations, HR, marketing, project management, or any non-technical role. You've played with ChatGPT. You're curious but not sure where to start.

This course was designed for you.

What makes this different:

Most courses show you what's possible. This one walks you through how to do it yourself.

This course teaches you how to think like an AI builder: how to spot the right use case, scope it before you build, test it with real users, and hand it off to your team so it actually gets used.

Learn the skills employers are starting to ask for:

AI Builder. AI Champion. AI automation engineer. These roles didn't exist three years ago. They're in job descriptions now. This course gives you the hands-on portfolio to back up those titles.

Who this course is for:

Non-technical professionals who want to build real AI tools for their teams without writing code
operations, HR, marketing, and admin roles who want hands-on AI builder skills
People who want to build with AI but don't want to learn to code
People who want to level up their AI fluency skills beyond the basics

Build GPTs, Claude Artifacts, and Small Apps (No Code)

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 8min

Building Custom GPTs and Google Gems9 lectures • 32min

Build AI micro-apps for your team with Claude4 lectures • 15min

Vibe coding AI prototypes and small AI tools for your team with Lovable9 lectures • 39min

Requirements

Description

Who this course is for: