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AI Training · Level 2

Vibe Coding 2.0

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

  1. 01–03
    Application and Integrations

    Interface, data and APIs

  2. 04–06
    Agents and Skills

    Your own workflow for a task

  3. 07–10
    Launch and Local LLMs

    Server, publication and models

10 sessions · Groups of up to 5

Cohort Start · 2026
In the Programme
10 sessions
In Each Study Group
Up to 5 people
After the Last Session
One Month of Access

01 Course Programme

From the Task —
to your own project.

Five blocks and 10 sessions. Learn skills and build an educational prototype with the instructor; practise independently between sessions.

01–03Application and APIsFrom the first launch to external integrations.

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.

Session 02

Building an Application

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

Connecting Services through APIs

Requests, access keys and service responses. Working with external data sources and file storage.

In Practice: an application with an external integration.

04–05AI AgentsOne agent and a process with several roles.

Session 04

Creating Your First Agent

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

Working with Several Agents

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.

06Your Own SkillsA repeatable workflow for your agent.

Session 06

Creating Your Own Skill

Describe a repeatable workflow, connect it to an agent and test it on different tasks.

  • Create a skill structure and a SKILL.md file.
  • Add the necessary instructions, examples and tools.
  • Check the result, refine the steps and save the working version.

In Practice: a ready-to-use skill for your projects.

07–08Server and LaunchHosting, domain, HTTPS and maintenance.

Session 07

Deploying a Server

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

Publication and Maintenance

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.

09–10Local LLMsA model and agent on your computer.

Session 09

Installing an LLM on Your Computer

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

A Local Agent with Skills

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

Learn in a Group
of up to five people.

Build a project, discuss questions and improve the result. Agree on a schedule with your group.

01 / Practice

Homework
after every session

An independent assignment follows each session to reinforce what you have learnt.

02 / Materials

Your Personal Learning Account

Course materials are available in your personal account. Access lasts for one month after the final session.

03 / Completion

Certificate
of course completion

We issue a certificate on completion of the course.

Author and Instructor

Adam-Sergey Avakyan

About the Laboratory

03 Before You Begin

Preparing
for the Next Level.

We recommend starting with Level 1 — the Introductory AI Course. You can also join with equivalent preparation.

Windows or macOS

You will need a computer running Windows or macOS.

VPN on Your Computer

Have it ready before the course starts. We can help you set it up if needed.

An AI Service Subscription

You need an active paid subscription, such as ChatGPT or Claude. Subscriptions and other paid services are purchased separately.

04 Join the Course

Level 2.
Your Own AI Project.

Next Intake

Vibe Coding 2.0

Course Price

99 000 ₽

For the full course of 10 sessions

  • Applications, agents and skills
  • Servers and local LLMs
  • Personal account and certificate
Discuss Joining

For Laboratory Alumni

Continue Learning

79 000 ₽

For the full course of 10 sessions

The price for those who have already studied at AIIA Laboratory.

Discuss Joining

Programme Questions

Can I join Vibe Coding 2.0 without completing Level 1?

Yes, with equivalent preparation. We recommend starting with the Introductory AI Courseto use AI tools confidently and set tasks for them.

What do we build on the vibe coding course?

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.

What should I prepare before the course starts?

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.

Will there be homework and access to materials?

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.

AIIA — Artificial Intelligence Laboratory

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