Live AI engineering training for developers and teams

One 10-week live program in two formats: an open cohort for individual developers and a private cohort for engineering teams. Six modules from LLM pipelines to deployment, weekly sprints with code reviews, and a graduation project at Demo Day.

For teams (4-20)

IN partnership with

Program authorNikolay VyahhiMIT lecturer, Hyperskill founder

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Companies we trained

Option 1 of 2. For one developer

Join the open cohort

Fixed start dates, pay per seat, your own projects.

For one developer: open cohort, pay per seat

AI Engineer Bootcamp

An open cohort: you join developers from other companies on a fixed start date, pay for your seat and build your own projects. In 10 weeks you take an AI feature from idea to production: a RAG pipeline, agents with tools and memory, deployment on AWS with monitoring and cost limits. 5 GitHub projects and a graduation project for your portfolio.

Next cohort: October 12$2,299 with code AUTUMN10 to 12 hours a week5 GitHub projects

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What you build in 10 weeks

LLM apps and pipelines: OpenAI API, prompting, MCP servers, LangChain
Agents and multi-agent systems: tool calling, memory, a GitHub pull request review agent
RAG with a vector database: Qdrant, chunking, reranking, query rewriting
Monitoring and security: Langfuse, Ragas, NeMo guardrails, cost limits
Deployment: FastAPI, Docker, AWS, GitHub Actions
Graduation project presented at Demo Day

Instructors from Hyperskill and JetBrains Academy. Full refund until the end of the first week.

Option 2 of 2. For a company

Run a private cohort for your team

Your dates, your stack, your use cases. One contract for 4 to 20 engineers.

For a company: private cohort for a team of 4 to 20

AI Engineer Bootcamp for Teams

A closed cohort only for your company: start when it suits you, the curriculum is adapted to your stack, and every project runs on your data and use cases. After 10 weeks your engineers ship AI features without ML hires: RAG pipelines, agents that automate routine work, a shared review process for AI-generated code, monitoring and cost limits. One contract, one invoice.

10 weeksPrivate cohortYour scheduleWith JetBrains Academy

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How it works

Kick-off call: goals, stack and the use cases your team will build on
Weekly sprints with live sessions, code reviews and instructor support in chat
Shared RAG and agent pipelines your team keeps maintaining after the program
Quality process for AI-generated code at team scale
Final demo: a working AI feature on your data
Proof: the TeamCity team shipped 7 production-ready prototypes in 4 weeks. Read the case study

Shorter formats for teams are available on request: a 5-week AI foundations course and 2-hour agentic coding workshops.

What changes after the bootcamp

Before the bootcamp

AI features take quarters to reach production

Engineers try AI tools on their own, nothing is shared

ML hires are blocked by budget or bandwidth

Routine work in support, finance and sales is still done by hand

Nobody trusts AI-generated code or agents in production

After the bootcamp

Ship an AI feature from idea to production in 2 to 3 months

Build RAG pipelines and agents with your own developers, no ML hires

Automate routine workflows with agents your team maintains itself

Review and test AI-generated code with a shared quality process

Run agents safely on your existing stack with monitoring and cost limits

Hyperskill Training: proven case studies

AI NATIVESS

4-Week AI Training Delivers 7 Production-Ready Prototypes

TeamCity team completed AI training program, producing 10 prototypes with 7 showing potential and measurable increase in AI adoption.

Sales management

Use AI in B2B sales to double leads and cut costs by 15%

Discover an AI-powered outreach system that doubled qualified B2B leads and reduced acquisition costs by 15%.

Product Building

AI product feature built from idea to production in 2 weeks

Intelligent automation tool built by AI engineers that automates repetitive work and performs it 15 times cheaper in terms of labor costs.

Support management

40% faster ticket resolution with Zendesk AI assistant

See the exact workflow behind “Taylor”, the Zendesk-native AI agent that now handles 71 % of tickets autonomously.

Finance Management

YouTrack task automation for finance teams with AI

This AI-powered automation in YouTrack helped reduce overdue financial tasks by 63% and cut resolution time by 36%.

What our clients say

Hyperskill makes you learn. It's not just re-typing code already given to you: you have to think. In six weeks of using it our team was writing more efficient code

Gerald Dieterich

Mental Health America

AI feels like a bicycle for my mind now—helping me be more productive at work and in life. The course's weekend deep-dives into new concepts were fantastic, and I even created a project that could help JetBrains PMs make better decisions. Those who embrace AI will have a clear advantage moving forward.

Anastasiia

Bootcamp graduate, JetBrains

Hyperskill is an excellent tool to enable someone with no development experience to become a confident skilled software developer in the working environment. It was useful for lots of new starters in our team to enable them to learn on their own or with others of the same path.

Samuel Prebble

Ford

Hyperskill is a very well-developed platform. Hands-on projects, supported with well-explained and developed theoretical material and unit tests, embedded in the browser, make coding interactive and fun.

Natalia Petry

Munich International School

The training from Hyperskill exceeded our expectations. Through hands-on projects, we gained practical experience integrating AI technologies into our work. We’ll definitely save time by automating some of our routine tasks.

Aleksandra

Bootcamp graduate, JetBrains

Hyperskill is a motivating and playful way to encourage people to learn how to code. The combination of theory and practical exercises helps to enhance the learning experience. Hyperskill is a comfortable support for our trainers and a perfect way for future coders to make their first steps into the world of coding.

Isabella Schmidt

diva-e

Hyperskill AI Engineer: LLM code documentation project with LangChain

I was able to progress from someone who could use AI-tooling with some rudimentary knowledge, to someone who now understands the underlying concepts and feels comfortable in applying them, to situations where they can fit and add value. The creation of a working Capstone project that met my goal was a key-outcome, and forms a platform for me to build upon, to keep using and applying these new-found skills.

Anushka Weerasooriya

Bootcamp graduate, Ford

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Partnering with the best

> Creators of most popular professional dev tools

> Trusted by 11.4m developers worldwide

> Engineers at Tesla, X, Google, Visa, and Valve rely on JetBrains tools

Why teams choose Hyperskill

Write production code

Learn architectures, trade-offs, and scaling

Train on real-world systems, not walkthroughs

Develop skills aligned with what modern teams actually need