This wasn't just talk about AI tools - we worked with them hands-on, on real examples, in a safe sandbox. Now I don't wait for someone else to set things up for me: I actively use Claude Code in my daily work, and it's completely changed my speed.
I'm a non-technical specialist, and this was a genuinely transformative experience. Over the course I built and shipped several working business projects: an AI agent that pulls together all calls and Slack messages and sends the client a weekly report, auto-assignment of tasks in ClickUp, a Telegram bot for TikTok content planning, and a sentiment analyzer for YouTube comments. I rebuilt the program's website from my phone mid-trip.
A hands-on experience through and through: instead of talking about AI tools at a conceptual level, we worked with them directly, on real scenarios, in a guided sandbox. Andrew has a knack for turning complicated ideas into clear, ready-to-use frameworks. Most importantly, I walked away with a clear roadmap for designing AI workflows and agentic systems going forward.
My biggest takeaway: the real bottleneck in development isn't engineering capacity, it's how fast we can validate hypotheses. AI removes that barrier entirely. On the course I built an agent that takes a raw PRD draft and turns it into a finished technical spec and a Jira backlog.
I used to think any idea needed engineers. Now, with Cursor and Claude Code, I build the first version myself, test it, and only then bring in the team. On the course I built an agent that takes a raw idea, asks the right questions, and turns it into a structured task with a spec. From idea to working prototype - no weeks of waiting for an MVP.
Working with Andrew changed how I relate to AI: not a toy chat, but a tool you actually push real work through. I used to get stuck in shallow use of GPT - a lot of motion, not much structure. Now I have my own Cursor workspace for real work: tasks, call notes, people, and projects all linked, so context doesn't reset to zero every week.
What hit hardest was the hands-on approach: not theory, but working with AI tools on real tasks. The biggest thing was how fast my thinking shifted. Now I immediately spot where automation fits into QA and which tool to reach for, and I handle most of it myself, without outside help.
A great course on Cursor and what AI can do. Clear, practical, and immediately applicable. What landed especially well was how complex things get explained in plain, simple language. Recommended.
I came into the course on AI agents and Claude Code with a strong technical background already, but I still walked away with a lot that was new. The material is practical, structured, and immediately usable at work. What I valued most: Andrey guides and supports without pushing. No artificial deadlines - how much you take on is entirely up to you. This is a course for people who genuinely want to learn.
I joined the group as a complete beginner in AI agents. Andrew walked me through the topic step by step and showed his own AI workflow - and it genuinely impressed me: agents handled everything from gathering requirements to development. Now I have a confident grasp of how AI agents actually work.
A rare course you walk away from not with a folder of notes but with something that actually works. Over five sessions we didn't just talk about AI tools - we built with them, hands-on, from the first idea and PRD all the way to a working prototype and deployment. Andrew has a way of breaking down something tangled into steps you can actually walk through and do. Alongside the course I started building my own thing: a web platform with a personal AI tutor for math and physics to prep for the Matura - lecture slides, solution checking, a parent dashboard. A couple of weeks ago, "I'll build it myself, no dev team" sounded like a stretch. Now I have a working prototype - plus a Claude 101 certification on top.
