Intensive course: 20 hours (10 sessions of 2 hours each)
This program is built for people who want to stop merely "chatting" with AI and start using AI to create a team of AI agents that can execute any of your requests.
We teach Agentic Engineering and Agentic Orchestration - methodologies where you act as the Conductor (the person managing the company), while autonomous AI agents handle all technical work and marketing.
We are currently accepting applications for the live-mentor cohort. To participate:
- Fill out the form: Application Form
- Join the Telegram Group: AI School EN
- Introduce yourself: Once you've filled out the form, drop a message in the group!
- Theory (10 min): What is Vibe Coding? Logic is more important than syntax. Tool overview.
- Practice (110 min):
- IDE with an AI assistant
- Git installation
- Git Baseline: Initializing your first repository. Why "save points" (commits) are your safety net
- Creating your first project folder
- Creating your first project
- Result: A working local page, configured environment, first commit, and first project
- Theory (10 min): What tokens are, where to get them, and how to save them; what context is and how to avoid overflowing it
- Practice (110 min):
- Free access to models
- API keys and API endpoints
- Integrating keys into the IDE
- Context optimization
- A minimal required set of rules and instructions for AI
- Result: Unlimited access to previous-generation and latest AI models, with 80% to 99% savings on paid-model tokens
- Theory (10 min): Describing structure vs. "make it beautiful." How do you understand what to create?
- Practice (110 min):
- Choosing a project (with AI)
- Creating the project architecture (with AI)
- Creating the project specification (with AI)
- Creating the development plan (with AI)
- Creating a visual prototype (with AI)
- Exporting code into the working environment (with AI)
- Result: A finished visual prototype and a clear technical description for further development by a team of AI agents
- Theory (10 min): AI agent roles, what MCP and Skills are, and why they are needed
- Practice (110 min):
- Installing the required MCPs (with AI)
- Installing the required Skills (with AI)
- Assigning roles to AI agents (with AI)
- Launching a team of AI agents and developing a product (with AI)
- Result: A personal team of AI agents ready to start executing any task you give them
- Theory (10 min): Why AI agents need memory and Andrej Karpathy's method
- Practice (110 min):
- Launching memory storage on your own device
- Creating an LLM wiki (with AI)
- Configuring the memory compiler (with AI)
- Connecting an AI agent to the "second brain" (with AI)
- Integrating the "second brain" into any other projects
- Result: Your AI agents do not forget anything, save context, and automatically update your "second brain"
- Theory (10 min): What kinds of databases exist and why they are needed
- Practice (110 min):
- Choosing a suitable database (DB)
- Creating the DB (with AI)
- Configuring the DB (with AI)
- Setting up authentication for users
- Integrating the DB into your project (with AI)
- Result: You get a database that stores information about your users, and your users can connect to your product using email or any other accounts
- Theory (10 min): What autonomous AI agents can do, and how and where they can be used
- Practice (110 min):
- Creating and deploying an AI agent (with AI)
- Connecting an LLM to the AI agent
- Connecting the AI agent to Telegram
- Giving the AI agent a routine (with AI)
- Giving the AI agent its first tasks
- Result: You get a personal AI agent with its own specification for completing specific tasks, and you communicate with it through Telegram
- Theory (10 min): What production deployment is and where to host your product
- Practice (110 min):
- Deploying a web application (with AI)
- Choosing hosting
- Choosing a domain
- Setting up CI/CD automation (with AI)
- Creating an APK (with AI)
- Preparing deployment to Google Play and the App Store
- Result: Your product is available to users through an HTTPS URL or as an APK file
- Theory (10 min): Why marketing agents are needed and how to structure a marketing team
- Practice (110 min):
- Setting up Skills for marketing agents (with AI)
- Getting API keys from social networks
- Setting up SEO tools (with AI)
- Setting up market research tools (with AI)
- Launching a team of AI marketers on a server (with AI)
- Result: You get a team of AI marketers that will automatically create content and collect feedback
- Theory (10 min): How to prepare your product presentation and pitch
- Practice (60 min):
- Creating a description of your product (with AI)
- Creating a presentation (with AI)
- Creating a video overview for your project (with AI)
- Preparing a product pitch (with AI)
- Preparing answers to questions (with AI)
- Graduation (50 min):
- Presenting your project (either independently or with AI)
- Result: You will have your own working product with a finished presentation, which you can use yourself, sell to third parties, or submit for a grant
- 0% boring theory: We do not teach Python or JavaScript syntax.
- 100% control: You learn to manage the tools that write code for you.
- Efficiency: You learn how to spend pennies on tokens where others spend thousands.
- Calendar-based group training: You take on additional accountability, which helps you avoid procrastination.
- Real result: Training does not end until you create a real product that you can sell or use yourself.
Built for those who want to build the future, not just watch it happen.