An 8-week path from non-technical
to production-ready AI builder

Learn the essential coding and system fundamentals required to build, deploy, and maintain real AI solutions used by businesses.
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Who We Are...

What is AI Fellowship?

AI Fellowship is a hands-on technical program focused on building production-ready AI systems, covering essential coding skills, system design, and real-world implementation beyond no-code tools.

Your Instructor - Nick Romanenko

Nick Romanenko is a full-stack software developer with over 15 years of experience building robust applications from the ground up. He has led development for multiple SaaS and marketplace platforms and, since 2022, has focused on creating custom AI systems for businesses across different industries. Nick specializes in designing scalable solutions and integrating the latest AI technologies into real-world products.

  • 15+ years of experience in full-stack software development
  • Built and launched multiple end-to-end SaaS and marketplace platforms
  • Developed and deployed custom AI solutions for clients since 2022
Why Choose AIF?

The Structured Path vs. The Hard Way

The Hard Way

Trying to piece everything together from scattered tutorials and changing trends.

Spend weeks watching content without shipping anything real
Feel stuck when tools and frameworks change constantly
Build demos that never become production systems

The Structured Path

A clear technical roadmap designed to help you actually build.

Learn the technical foundations behind production-ready AI systems
Follow proven system patterns used across real-world projects
Build and deploy end-to-end AI solutions with confidence

Your 8-week roadmap to building production-ready AI systems

This program takes you from non-technical fundamentals to building real AI systems used in production.
Across 8 weeks, you’ll learn coding basics, backend development, AI agent architecture, cloud deployment, frontend integration, and advanced agent workflows. Each week builds on the previous one, so by the end you understand not just how to build AI features, but how to design complete, production-ready systems.
This is a hands-on technical crash course focused on practical skills, real tools, and real-world implementations.
WEEK 1

JavaScript Essentials for AI Automation

Learn JavaScript fundamentals needed for automation and AI projects. Cover variables, arrays, objects, functions, and asynchronous programming. Work with APIs and manipulate data in preparation for agent development.

WEEK 2

Backend Development with Node.js and TypeScript

Set up backend environments using Node.js. Build APIs, connect databases, and handle asynchronous operations. Get an introduction to TypeScript and essential backend error handling for scalable systems.

WEEK 3

Rapid Prototyping with No-Code Tools

Use no-code platforms like Make.com, Voiceflow, and Botpress to quickly build and automate basic AI agents. Learn workflow automation, integrations, and how to create MVPs without writing extensive code.

WEEK 4

Building AI Agents with Node.js

Create custom AI agents using Node.js and OpenAI/Anthropic APIs. Integrate memory, handle conversations, connect to external tools, and solve business tasks with practical agent implementations.

WEEK 5

Cloud Deployment for AI Agents

Deploy AI agents to cloud platforms such as Replit, Heroku, and AWS Lambda. Learn deployment steps, configuration, security basics, and how to make your AI solutions publicly accessible.

WEEK 6

Advanced Agent Workflows with LangChain and LangGraph

Build multi-actor AI agents using LangChain and LangGraph. Manage state, retain memory, implement human oversight, and set up complex workflows for advanced agent functionality.

WEEK 7

Frontend Integration & Real-World Bots

Develop user interfaces for your AI agents using React.js and Tailwind CSS. Learn HTML/CSS basics and progress to building functional frontends. Build a WhatsApp bot, integrate with AWS, and set up webhook-based messaging.

WEEK 8

AI Voice Agents and Agentic System Patterns

Build and deploy AI voice agents with Retell.ai. Set up phone numbers, webhooks, and call reports. Study design patterns for modular agent systems—covering orchestration, prompt chaining, routing, and parallelization for robust AI workflows.

Yev Nesin
Yev Nesin
Growth Lead @ Google
The AI Fellowship gave me a rock-solid technical foundation and practical, real-world skills. Nick's lessons made even complex topics easy to understand, and Bo's teaching style kept everything hands-on and actionable. I left the 8-week program feeling far more confident and upskilled than I ever expected.
April 1, 2025
Klym Yevmin
Klym Yevmin
Chief of Staff @ PeopleForce
What sets this program apart is how hands-on it is. You’re not just watching videos—you’re building real AI agents, deploying them, and learning exactly how to sell them. The mentorship from Nick and Bo was invaluable.
May 16, 2025
Anna Tran
Anna Tran
CEO @ ACQG Enterprises
I came in with no backend experience and left confident deploying production-ready AI systems. The step-by-step structure, plus the active community and weekly support calls, kept me accountable and progressing every week.
Jun 10, 2025
Get Access to AI Fellowship

Join the Next Generation of AI Innovators

Still Have Questions?

Frequently Asked Questions

Here's the answer to the most common asked questions about AIF enrollment.
Do you teach client acquisition or sales?

No. AI Fellowship is a purely technical program. It focuses on giving you the coding foundations, system design knowledge, and hands-on experience needed to build production-ready AI systems.


Client acquisition, lead generation, and sales are not part of the Fellowship curriculum.


That said, we do offer a separate Accountability Program focused entirely on client acquisition. It includes daily tasks, structured outreach, and practical guidance on landing clients and projects.


If you join the AI Fellowship technical course, you get 6 months of AIF Plus access for free, which includes the full client acquisition accountability program. That's a savings of over $600.


You can find more details about the accountability program here: https://www.skool.com/aif-plus

Who is this course for?

This course is designed for those who are committed to developing a real skill set that will grow alongside the rapidly evolving AI industry over the next decade. Whether you're a complete beginner or someone with a bit of coding experience, our crash course is structured to provide curated knowledge for all levels. No prior development experience is needed.

Who is this course not for?

This course is not for those looking for shortcuts, get-rich-quick schemes, or fast money. If you're expecting instant results without putting in the time and effort, this course won't meet your expectations. Success here requires dedication, patience, and a commitment to learning and applying new skills.

How long will it take to complete the program?

This is a self-paced course with no set timeline for completion. On average, we estimate it will take at least 8 weeks to thoroughly go through all the materials, depending on your schedule and dedication.

Which no-code tools are covered, and to what extent?

We cover Botpress, Voiceflow, and Make.com. However, these tools are not the primary focus of the course. The goal is to provide you with a much broader understanding of automation (beyond no-code tools) along with fundamental JavaScript skills to build more advanced and flexible solutions.

Do I need to pay every month?

No, there's only a one-time payment with no hidden fees. After that, you have lifetime access to all course materials, the community, and any updates we release.

How can I contact you?

If you have any additional questions or need support, feel free to reach out to us at bohdan@aif.academy. We're happy to help!

What happens after you complete the program?

You'll receive a completion certificate and lifetime access to all course materials and updates. You'll remain part of the community, where you can continue learning, collaborating, and building alongside other AI practitioners.

Many participants use the systems they build during the Fellowship as a launch point for further projects or professional growth.