You have ideas but no repeatable system
Turn an idea into a clear digital project with a first version, defined screens, and completion criteria.
Online course · Course dates will be announced soon · 8 classes + project presentations
AI Engineering for Digital Products Learn to build digital products with artificial intelligence
A practical course for people who want to go beyond chatting with AI and manage the product-building process: shape an idea, define requirements, design the experience, assign tasks to an AI agent, verify the result, and prepare a digital product for launch.
- Format
- online
- Schedule
- Schedule to be announced · 18:30 ET (EDT/EST)
- Starts
- Course dates will be announced soon
- Final class
- Course dates will be announced soon · project presentations
Where AI creates value
AI is most valuable when it helps you produce the result you intended
The real value begins when you can use artificial intelligence to build real digital products: landing pages, websites, services, internal tools, learning platforms, customer portals, and automations.
You do not have to become a programmer. You do need to understand the process: how to think in products, apply core engineering principles, define tasks, work with AI agents, verify outcomes, and stay in control.
Who it is for
For people ready to move from “AI looks interesting” to “I can build digital products”
You do not want to fall behind
Understand how AI is changing marketing, sales, education, business, management, and consulting.
You work with contractors
Understand what you are commissioning, how to verify the result, and where risks may arise.
You want a new professional skill
Learn how to build landing pages, websites, services, and internal tools with AI.
After the course
What you will be able to do
Turn an idea into a product
Define the audience, the problem, the first user outcome, and the boundaries of version one.
Give AI controlled, testable tasks
Get a product structure, task plan, screen specifications, or a landing page instead of random answers.
Work with AI agents
Use agents to refine ideas, prepare requirements, work with code, and verify the result.
Design the experience
Describe user journeys, forms, buttons, success states, and error states before development starts.
Prepare tasks for Codex
Turn requirements into small tasks an AI coding agent can execute.
Verify AI output
Know whether a task is truly complete, even when AI confidently says it is done.
Curriculum
What we will do in every class
Preparing for systematic work with AI
Move from isolated prompts to a repeatable process for your own digital product. Set up the essential tools and project foundation.
Managing AI agents
Learn to define tasks clearly, direct the execution process, and keep control of the result.
From idea to product concept
Define who the product is for, which problem it solves, and what its first usable version should be.
UX/UI design
Design the product interaction logic and prepare its visual concept before development begins.
Deterministic skills pipeline
Build a controlled process in which AI works step by step, follows the rules, and keeps the project context.
AI loops for digital product development
Organize cycles for creating, checking, and improving a product with AI agents.
An operating system for LLMs and a knowledge management system
Set up effective LLM work and build a local system for collecting, storing, and managing knowledge.
End-to-end product development
Bring every stage together in one process, from the initial idea to a working digital product.
Format and schedule
How the course works
Classes combine instruction with a practical demonstration whenever the topic calls for one. You watch the instructor work through the process, then repeat it at home on your own project.
- Start
- Course dates will be announced soon
- Main classes
- Schedule to be announced
- Time
- 18:30 ET (EDT/EST)
- Duration
- 8 classes + project presentations · 1.5 hours each
- Final class
- Course dates will be announced soon · project presentations
- Total
- 13.5 hours
Instructor
Your instructor: Igor Nakonechnyy
Founder of HappyPro Academy, telecommunications engineer, and professional with more than 25 years of experience in communications, sales, business development, and educational product design.
In this course, Igor shares a practical approach to building digital products with AI, grounded in his experience building HappyPro Academy and DAS Forge — an AI Production OS.
Reviews
What students say after the course
Tuition
One focused course that gives you a process for your own projects
AI will not do everything by itself. But people who learn to direct it well can build products faster, test ideas, work more effectively with contractors, and launch their own projects. After completing the course, you will receive a certificate with a unique ID that can be verified on the HappyPro Academy website.
FAQ
Frequently asked questions
No. The course is designed for people without a traditional programming background. You will learn to understand product logic, the tools, and the essential technical processes.
The main goal is not to teach manual coding. It is to teach you how to manage the creation of a digital product with AI tools. We will demonstrate part of the coding workflow in Codex.
Yes. During the course, you will set up GitHub and Figma and prepare access to ChatGPT/Codex.
You will be able to plan and start building your own digital product: a landing page, website, service, internal tool, or another project you can develop with AI over time.
Yes.
Select a payment option, follow the mono link, and complete the payment. To pay in installments, choose “Pay in 3 installments” in the Tuition section. You will then receive the course participation instructions.
Start Course dates will be announced soon
Start building your own digital products with AI
If you have wanted to turn an idea into a real digital project without becoming a traditional programmer, this course gives you a clear place to start.