Session 01
Vibe Coding Environment
Project files, terminal, instructions and dependencies. Giving tasks to AI, running the application, reviewing errors and returning to a working version.
In Practice: a configured environment and first launch.
Discuss TrainingAI Training · Level 2
Learn to build an educational application or AI-agent prototype: connect data, work with tools, launch on a server and use local models.
Level 2
Your Project — From Building to Launch
Interface, data and APIs
Your own workflow for a task
Server, publication and models
10 sessions · Groups of up to 5
01 Course Programme
Five blocks and 10 sessions. Learn skills and build an educational prototype with the instructor; practise independently between sessions.
Session 01
Project files, terminal, instructions and dependencies. Giving tasks to AI, running the application, reviewing errors and returning to a working version.
In Practice: a configured environment and first launch.
Session 02
Interface, forms, search and filters. Connecting a database, saving results and improving features through AI.
In Practice: an educational service prototype for your task.
Session 03
Requests, access keys and service responses. Working with external data sources and file storage.
In Practice: an application with an external integration.
Session 04
Define the goal, instructions and available tools. The agent obtains data, performs actions and checks the result.
In Practice: an agent that performs a specific task using connected tools.
Session 05
Build a process for search, analysis, preparation and checking results. Set up data handover, stopping on errors and confirmation of important actions.
In Practice: a connected process with several steps and roles.
Session 06
Describe a repeatable workflow, connect it to an agent and test it on different tasks.
In Practice: a ready-to-use skill for your projects.
Session 07
Connect a VPS, access it through SSH and set up the environment, permissions and key variables. Prepare the server for the application and agent.
In Practice: a server prepared for your project's launch.
Session 08
Host the application and connect a domain and HTTPS. Set up continuous agent operation, scheduled runs, error logs and backups.
In Practice: a published educational prototype and its update process.
Session 09
Select a model for the hardware, download it and run it locally. Compare response speed and quality.
In Practice: a local model and a check that it works after disconnecting from the internet.
Session 10
Connect the model to an agent and grant access to a selected document folder and your own skills. Test the workflow and fix errors.
In Practice: an agent for working with documents locally.
Download models and installation files in advance. External APIs require an internet connection. Test local processing of downloaded documents without a connection.
02 How We Learn
Build a project, discuss questions and improve the result. Agree on a schedule with your group.
An independent assignment follows each session to reinforce what you have learnt.
Course materials are available in your personal account. Access lasts for one month after the final session.
We issue a certificate on completion of the course.
03 Before You Begin
We recommend starting with Level 1 — the Introductory AI Course. You can also join with equivalent preparation.
You will need a computer running Windows or macOS.
Have it ready before the course starts. We can help you set it up if needed.
You need an active paid subscription, such as ChatGPT or Claude. Subscriptions and other paid services are purchased separately.
04 Join the Course
Vibe Coding 2.0
99 000 ₽
For the full course of 10 sessions
For Laboratory Alumni
79 000 ₽
For the full course of 10 sessions
The price for those who have already studied at AIIA Laboratory.
Discuss JoiningYes, with equivalent preparation. We recommend starting with the Introductory AI Courseto use AI tools confidently and set tasks for them.
You develop skills and build an educational prototype of an application or AI agent. The programme covers applications, agents, skills, servers and local language models.
A Windows or macOS computer, a VPN on the computer and paid access to an AI service such as ChatGPT or Claude. We can help if you have trouble setting up the VPN.
After each session, you receive an independent assignment. Materials and tasks are in your personal learning account; access continues for one month after the last session. A certificate is issued on completion.