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в AI за 6 недель. Без воды. Только код и практика.

Level Up Your AI Skills in 6 Weeks

No fluff. Just code and hands-on practice

6 weeks to stop being afraid of neural networks
and start controlling them.

Built for developers who write code, not just watch tutorials.

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AI Bootcamp for Developers #3

<wHEN>
winter 2026
<DURATION>
6 weeks
<COURSE RATING>
8.7/10
<COHORT>
#3
<Instructors>
Max Averin
Founder of Interview Hustlers
<instructors>
Maxim Karas
Senior Developer, LLM Team at Tinkoff
In 2025 AI is no longer hype,
In 2025
AI is no longer hype,
it’s the new reality
And here’s what that reality looks like for developers who choose to ignore it:
The good news? - All of this is still avoidable
with the AI Bootcamp for Developers
Career stagnation
Zero skill growth
Losing competitiveness in the job market
Stress and anxiety about the state of the IT industry
Falling behind modern technologies
Burnout from an ever-growing workload
Who Is the Future Reality a Threat to First?
And more importantly — what changes after the bootcamp?
Every participant becomes a next-generation AI developer with relevant, hands-on skills.
каждый участник станет AI-разработчикам нового поколения благодаря актуальным и прикладным навыкам.
Junior/middle
Technical specialists
Team lead
AI skills help you stay relevant in the market
and continue growing in both skills and income.
Навыки работы с AI помогут держать руку на пульсе рынка и остаться актуальным разработчиком, которые растет в скиллах и доходе
Working with AI keeps you on top of industry changes and prevents career stagnation.
A solid understanding of AI enables you to build more efficient workflows and deliver higher-quality results for your team.
AI Bootcamp Program
Module 0
Onboarding
Outcome:
  • Introductory module
  • Course onboarding form
  • Access to Telegram chat
  • Access to Notion workspace
Module 1
AI Basics
Outcome:
  • You understand how modern AI works and how to use it safely and effectively in development.
  • How LLMs work: tokens, attention, datasets, limitations
  • Why models make mistakes
  • What AI can and cannot do in real projects
  • ChatGPT: features, voice mode, real use cases
  • AI ecosystem for developers
  • Setting up your AI environment
  • Purchasing and configuring AI tools
  • Replacing Google with AI-powered search (Perplexity)
AI fundamentals for developers
Module 2
Prompt Engineering
Outcome :
  • You stop guessing and start controlling AI output.
  • Prompt structures and best practices
  • Zero-shot, Few-shot, Chain-of-Thought
  • Context management
  • Choosing the right model for each task
  • GPT, Claude, Gemini, DeepSeek, Grok — when and why
  • RAG basics and limitations
Working with AI consciously, not blindly
Module 3
AI IDEs & Cursor
Outcome :
  • AI becomes part of your daily coding workflow, not a distraction.
  • Cursor setup and configuration
  • Advanced Cursor features
  • Agent mode and workflows
  • Working with large codebases
  • Overview of AI IDEs and developer tools
AI-assisted development tools
Module 4
Solving Engineering Tasks with AI
Outcome:
  • You use AI as a teammate, not a risk.
  • Working with real Jira tasks
  • Writing project rules and guidelines for AI
  • Architecture and logic explanation with AI
  • Debugging, testing, and refactoring
  • Documentation and diagrams (Mermaid)
From task to merge request
Module 5
Real Developer Cases
Outcome :
  • You solve real work problems faster and with less stress.
  • nboarding into existing projects
  • Writing documentation from scratch
  • Refactoring large codebases
  • SQL optimization
  • Breaking down large tasks and epics
Daily work scenarios
Module 6
Code Review & System Design
Outcome :
  • Higher code quality and faster decision-making.
  • AI-assisted code reviews
  • Writing design documents and RFCs
  • System design with AI
  • Architecture visualization
  • Preparing for system design interviews
Quality and architecture
Module 7
AI Agents
Outcome:
  • You automate routine tasks and reduce manual work.
  • No-code and low-code AI agents
  • Automation with APIs
  • Telegram bots
  • Practical agent use cases
Automation and workflows
Module 8
LLM Theory for Developers
Outcome:
  • You understand how AI systems are built and can talk to ML engineers confidently.
  • Transformer architecture
  • Embeddings and vector search
  • RAG vs fine-tuning
  • Local LLMs and deployment basics
  • Cost and performance considerations
Understanding what’s under the hood
Module 9
RAG & Knowledge Bases
Outcome:
  • You can design and maintain AI systems in production.
  • Building knowledge bases
  • Vector databases
  • Hybrid search
  • Security and access control
  • Cost optimization
Production-ready AI systems
Module 10
AI Products & Monetization
Outcome:
  • You understand how AI skills translate into real products and income.
From skills to results
  • Real AI product cases
  • Monetization strategies
  • Pricing and unit economics
  • Side projects and startups
Our students have joined these companies
and are already delivering results more effectively
Tilda Publishing
Pricing
  • 10 online recorded lectures
  • 1 weekly Q&A call with the instructor
  • General student Telegram chat with a mentor
  • Access to materials in Notion
  • Practical homework assignments
  • Access to course materials — 12 months
  • Zoom Q&A sessions
  • Separate VIP chat with a mentor
  • Individual project reviews
  • Secret bonus for developers
Module 0> Introductory Module
<Module 1> AI Fundamentals, ChatGPT, and the AI Ecosystem
<Мodule 2> Prompt Engineering
<Моdule 3> Introduction to Cursor and Other AI IDEs
<Моdule 4> Problem-Solving Methods with Cursor
<Моdule 5> Work Task Case Studies #1
<Моdule 6> Work Task Case Studies #2
<Моdule 7> AI Agents Workshop (n8n, bots)
<Моdule 8> LLM Theory
<Моdule 9> Knowledge Base Building Practice
<Моdule 10> Side Hustle
<Моdule 0>
Introductory Module

<Моdule 1>
AI Fundamentals, ChatGPT, and the AI Ecosystem

<Моdule 2>
Prompt Engineering

<Моdule 3>
Introduction to Cursor and Other AI IDEs

<Моdule 4>
Problem-Solving Methods with Cursor

<Моdule 5>
Work Task Case Studies #1

<Моdule 6>
Work Task Case Studies #2

<Моdule 7>
AI Agents Workshop (n8n, bots)

<Моdule 8>
LLM Theory

<Моdule 9>
Knowledge Base Building Practice

<Моdule 10>
Side Hustle
VIP
Access to course updates - 1 year
(we updated the course by 30% compared to the first cohort)
<Module 0> Introductory Module
<Module 1> AI Fundamentals, ChatGPT, and the AI Ecosystem
<Мodule 2> Prompt Engineering
<Моdule 3> Introduction to Cursor and Other AI IDEs
<Моdule 4> Problem-Solving Methods with Cursor
<Моdule 5> Work Task Case Studies #1
<Моdule 6> Work Task Case Studies #2
<Моdule 7> AI Agents Workshop (n8n, bots)
<Моdule 8> LLM Theory
<Моdule 9> Knowledge Base Building Practice
<Моdule 10> Side Hustle
<Module 0>
Introductory Module

<Моdule 1>
AI Fundamentals, ChatGPT, and the AI Ecosystem

<Моdule 2>
Prompt Engineering

<Моdule 3>
Introduction to Cursor and Other AI IDEs

<Моdule 4>
Problem-Solving Methods with Cursor

<Моdule 5>
Work Task Case Studies #1

<Моdule 6>
Work Task Case Studies #2

<Моdule 7>
AI Agents Workshop (n8n, bots)

<Модуль 8>
Теория LLM

<Модуль 9>
Knowledge Base Building Practice

<Модуль 10>
Side Hustle
  • 7 recorded online lectures
  • 1 weekly Q&A call with the instructor
  • Shared Telegram chat with a mentor
  • Access to learning materials in Notion
  • Practical homework assignments
  • Access to course materials for 6 months
  • Zoom Q&A sessions
  • eparate **VIP mentor chat**
  • Individual project reviews
  • Secret gift for developers
Standart
Cases Studies
Looking to run a corporate training program
to upskill your team in Python, AI, or Go?
To enroll and pay as a legal entity, you’ll only need to provide your company details
and contact us via email so we can prepare the enrollment request.
01
02
03
Training for individual employees in our general course groups
Customization of the existing course program to fit your team
Individual training for your team from scratch
What we offer
Email us
Tilda Publishing
Иван Девицын
ML Engineer and educator
Bogdan Pechenkin


  • Co-author of the “DS Simulator” course (1,000+ students)
  • ML Engineer with production experience
  • Co-author of the book Machine Learning System Design
Sergey Solovyov
Python Tech Lead at a fintech company in Cyprus
  • 9 years of industry experience
  • Currently working as a Python Tech Lead
  • Experience with high-load systems, Computer Vision, and frontend
  • Interviewed 50+ middle and senior engineers
  • Conducted 50+ one-on-one consultations
  • Led 8 Python cohorts with 150+ students
Author of the AI course for developers
Maxim Karas
Serafim Korablev

  • Raised $1.2M in investments
  • Project valuation: $20M
  • Serial entrepreneur
  • Forbes 30 Under 30
Co-founder of Via Protocol
Senior Golang Developer
Nikolay Folkin


  • Developed production code in Python, Golang, and JavaScript
  • Works as a Senior Golang Developer in Big Tech
  • Conducts technical interviews
  • Personally passed 40+ interviews in 2024
  • Received offers from Avito, T-Bank, Alfa Bank, Cloud.ru, and others

University lecturer
  • 11 years of teaching experience in higher education
  • Trained 1,000+ students
  • Focuses on practical AI and applied development
  • Combines academic background with real-world AI projects
Senior Backend Developer (Python / Go)
Max Averin

  • 8 years of backend experience
  • Worked at X5 Group, Lamoda, BestDoctor, Dex.guru
  • Experience as a Team Lead (5 engineers) and Product Manager
  • Currently a Senior Python/Golang Developer at a US healthcare company
  • ITMO graduate (Computer Science)
  • 300+ documented interviews since 2018
  • Founder of Interview Hustlers
Course Authors and Instructors
Ivan Devitsyn

  • Senior Go Developer at an LLM platform (T-Bank)
  • Previously worked at VK, MTS Cloud, BI.ZONE
  • Applied AI tools in real projects before they became mainstream