Today, we’re launching a new educational product—Build with AI that solves two problems:
— It gives you fundamental, reusable skills for working with coding agents and other AI tools
— It teaches you to build your own products to solve specific problems with AI
The learning process is structured as follows:
— You will work on practical cases. There is a new case every two weeks.
— Each case results in a working AI-built product and a set of reusable skills.
— The focus is on mastering core principles, approaches, and tools rather than following a series of instructions that lead to a “done, but without understanding how” outcome.
— The product you build in each case can be adapted to your own needs and specific tasks.
You’ll be able to ask questions about every new case in a dedicated chat together with the experts working on the program. Everything you learn, you will be able to reuse in your work.
🗓️ You will learn and build products on a regular basis, and each new case will be relevant at the time of release. This helps you gain the latest knowledge and stay one step ahead of a significant share of the market.
🔗 You can learn more about Build with AI and join the program via the link.
⚙️ First case is already available, and you can start working on it right away. Along the way, experts will help you with any questions you have.
This is an onboarding case. You will build a personal AI assistant that will automatically sort emails, prepare reply drafts, and create tasks in a task tracker.
As you work through the case, you will gain basic skills in working with coding agents, learn how to set up integrations with external services (email, a task tracker, LLMs), and run the assistant on a schedule. You will also be able to adapt it to your own needs. Join us!
In the coming weeks, you can expect cases on how to build a service for monitoring and analyzing changes among competitors, and how to use RAG to create AI on top of your own data.
Now a few words on why we chose to build the product specifically as a series of regular hands-on cases.
💡 AI technologies and tools are evolving very quickly. A problem that existed yesterday may already be solved tomorrow. Tools that were relevant yesterday may become legacy tomorrow.
💡 The fundamental skills and principles of building and growing products haven’t changed—they matter as much as ever. What’s changed is the time it takes to acquire them: no one wants to spend months on what now takes days.
The chosen learning format solves several problems at once: outdated materials (everyone has moved to new AI products, while older programs do not cover them), one-off weekend workshops (where skill-building gets replaced by creating a simple prototype), and long, in-depth programs (which require a major time investment before delivering value).
Andrew Ng, one of the world’s leading AI experts, put it this way: “AI won’t replace people, but maybe people that use AI will replace people that don’t”. Like it or not, AI is already here, and its role in accelerating productivity will only continue to grow. Our goal is to give our students everything they need to move forward with the market—or even stay ahead of it. As always, we will do this systematically, in a structured way, and with a strong focus on practice.
