AI Engineer Instructor-led
Bootcamp

With live support, code review, production stack, and ~100 hours of work
start date: October 27
Enroll NOW
IN partnership with
Jetbrains
Have questions? Contact us via WhatsApp or book an online meeting
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Our students work at

Learn one of the most in-demand tech skills of 2025

Traditional development

Programming skills in Python/backend
Can integrate APIs and build web applications
Understand software architecture and deployment
Competing in a saturated job market (146% supply vs demand)
Standard backend developer salary range

Upskilling with AI Engineering bootcamp

Build multi-agent systems and orchestrate LLM pipelines
Design and optimize RAG architectures with vector databases
Implement monitoring, security, and cost controls for LLM apps
Deploy AI systems to production (Docker, AWS, CI/CD)
3-4 portfolio projects proving you can ship AI products
Enter a market where 50%+ of AI Engineer roles remain unfilled
20-35% salary premium over backend developers (2025 data)

Build systems around LLMs, not just interact with them

Intensive practice-oriented training
> 6 sprints including 6 real production use cases

> Focus on engineering skills (not academic theory, not research)

> Mentorship and code review from practitioners

>  3-4 GitHub projects you can show in job interviews & professional certificate
Build reliable
multi-agent systems
> Real production stack (LangChain, Cohere, Qdrant)

> Create robust pipelines using LLM APIs

> Automate any operations with complex AI agentic systems

> Use your own data to power RAG systems
Ship AI
to production
> All metrics and monitoring done hands-on (Langfuse, Ragas)

> Secure your application and data with modern tools

> Deploy LLM apps with real-world tooling

> In Advanced RAG, refactor pipelines to improve answer quality and latency

Watch a free webinar to find out if this bootcamp is for you

Shipping production-ready AI features

> How engineers launch AI features
> How AI is changing how software gets built
> What skills you need to move from idea to launch

Why Hyperskill Training works

Direct access to instructors
Instructors who've built real products and explain complex concepts clearly will help you grow fast. You will have a direct access to instructors during training, plus 1 week after bootcamp.
10-week structured curriculum
Learn AI building through practical sprints. Each sprint focuses on a hands-on project that teaches applied AI development step by step.
Built around industry needs
Curriculum adapted to innovative market goals.
Measure skill growth with data
Receive assessment before and after training, plus continuous progress tracking. You'll get a detailed growth report showing measurable skill improvements across training modules.
AI workshops from industry experts
Participate in practical workshops where you'll learn to use the same AI coding tools professionals rely on to build more efficiently and effectively.
Stand-out portfolio projects
Build AI-focused projects that reflect real industry tasks. Built on the same principles as programs at MIT or Y Combinator School: you build a product every week.

Created with
JetBrains Academy

> the company behind the world’s most popular IDE.
> Trusted by 11.4m developers worldwide.
> Engineers at Tesla, X, Google, Visa, and Valve rely on JetBrains tools daily.

The team behind Hyperskill training

The program was created by AI researchers and CTOs from Hyperskill, Intel Labs and JetBrains
I'm passionate about using AI to make learning smarter and more accessible. At Hyperskill, we're building the future of education, and I'm excited to be a part of it every day.
Nikolay Vyahhi
Founder, AI Educator, MIT Lecturer
When designing this bootcamp, we kept asking ourselves what developers need to thrive in AI today and build confidence and momentum through real projects.
Alexander Patlukh
Chief Educator
I’ve built and deployed LLM systems at scale in production environments. This bootcamp teaches the exact mindset and tools I’d expect from someone joining a real-world AI team.
Ruslan Davletshin
Chief Technology
Officer
I taught myself AI on the side while working full-time, and it took forever. This bootcamp is the kind of structured, focused experience I wish I had when I started.
Ivan Panchenko
AI Engineer
To me, learning isn’t about having all the answers — it’s about the right questions and the space to ask them. At Hyperskill bootcamps, someone’s always listening.
Anna Moskvina
Learning Experience Designer
I enjoy bridging the gap between complex technology and clear understanding. At Hyperskill Training, I help make advanced concepts accessible to learners.
Nikalina Ogorodova
AI/ML Engineer
With 10+ years blending Software Engineering and UX Design skills and knowledge, I have experience of delivering user-centred products end-to-end. I leverage this integrated expertise to architect and build reliable and valuable AI Agents and LLM-powered apps.
Vladimir Kovtunovskiy
AI Product Engineer
I have over 7 years of experience in Data Science, Machine Learning, Deep Learning, and their applications, experienced in working on complex projects like the one we've built with Intel Labs. I'm happy to share my learnings with developers seeking innovative position on the market.
Ivan Rodin
AI Engineer & Researcher

Bootcamp program

Introduction to LLMs
& Pipelines
sprint 1 (2 weeks)
> Learn about an AI engineer’s role, typical tasks, and job requirements
> Understand the basics of LLMs and their current limitations
> Master prompting skills and basic prompting techniques while building LLM-based apps
‍

What students do:

Work with OpenAI API, write a CLI chat, build an assistant with retrieval, function calling, and visualization.
Building Agents
& Multi-Agent Systems
sprint 2 (2 weeks)
> Explore the concept of AI agents
> Build autonomous systems using tools like FastAPI and LlamaIndex


What students do:

Build a FastAPI backend with multiple agents + GitHub PR Review Agent using LlamaIndex and GitHub Actions.
Vector Databases
sprint 3 (1 week)
> Learn to store and retrieve data for LLMs using Qdrant


What students do:

Build a FastAPI application on Qdrant: data loading, indexing, vector search, optimization.
Building RAG Systems
sprint 4 (2 weeks)
> Master LangChain to create Retrieval-Augmented Generation systems
> Use your own data to enhance LLM output
> Build naive and advanced RAGs


What students do:
‍
Progress from vector search to RAG: build end-to-end pipeline, then implement query rewriting, reranking, HyDE, and data-source routing.
Monitoring & Security
sprint 5 (2 weeks)
> Monitor your app with Langfuse
> Learn to evaluate LLM-backed apps
> Apply best practices to keep your AI stack stable and secure


What students do:
‍
Set up Langfuse and Ragas, collect metrics, track tokens, implement NeMo guardrails, cost-limits, and LLM-API proxy.
Deploying LLM-Based Apps
sprint 6 (1 week)
> Set up the full infrastructure to launch and run your AI projects in production


What students do:
‍
Package everything in Docker, deploy to AWS, manage environment variables and logs, demonstrate production version.

What our students say

The training from Hyperskill exceeded our expectations. Through hands-on projects, I gained practical experience integrating AI technologies into our work. I'll definitely save time by automating some of our routine tasks.
Aleksandra
Project Manager, JetBrains
I like the material; it is a great chance to familiarize myself with AI tools. The proportion between Math and non-math tasks is just right. I also enjoy practical projects and exercises. Community helps with my questions and supports my motivation.
Avraham
AI Engineer Bootcamp
I feel confident and appreciate how AI Engineer program is structured: it gives truly practical knowledge. As someone project-oriented, I see this training as a way to fill my gaps, and I really admire what JetBrains and Hyperskill are building with their programs.
Lyubomir
Solo Entrepreneur
AI helps me be more productive at work and in life. 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
QA Lead, JetBrains
I highly recommend Hyperskill bootcamps because it’s fun, has a progressive approach, and is truly inclusive. No matter your personal situation, it gives you a fair chance to grow and succeed.
Michaela
Kotlin Developer Bootcamp
Hyperskill & JetBrains Academy platform provides effective learning with peer support, expert coaching, and AI-assisted code review. Their Java Backend Developer curriculum helps learners like myself understand coding concepts.
Ryan
Java Developer Bootcamp

Complete learning package

10-week structured curriculum with expert guidance
Full access to Hyperskill platform with 50+ courses
Bonus prep materials for comfortable learning pace
Live Discord community
Weekly recorded webinars
6 live Q&A sessions with instructors
Daily instructor support
One-time payment
+ 7-day money back guarantee
Try our bootcamp risk-free and receive a full refund if it doesn't meet your expectations.
$2499
Klarna installations possible for US residents. Please see this option in payment methods.
Enroll now

Not sure yet? Let's talk about your professional goals

and get free full curriculum of the training
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Frequently asked questions

>
Is it live or self-study?

Both. Live webinars every 1–2 weeks, daily async support, full materials and recordings available throughout and after the program.

>
Do I get access to APIs and infrastructure?

Yes, we provide OpenAI tokens and credits via LiteLLM for the duration of the program. All deployment infrastructure works on free tiers (AWS, Qdrant Cloud, etc.).

>
What are the prerequisites to start this program?

You should be comfortable with programming and have some experience with Python. If you’ve used other languages but are new to Python, we’ll give you prep materials and 1-2 weeks of free access to Hyperskill to get ready. This bootcamp moves fast and covers technical topics, so it's best suited for people with a developer background.

>
How long does it take to complete it?

We estimate that this program can be completed in about 10 weeks, plus 1 extra week for a Christmas break. We understand that each learner's pace may vary, however, most learners are expected to dedicate 15-20 hours per week to their studies.

>
I already have a premium subscription. Can I join?

Yes, absolutely! This program includes full Premium access. If you already have an active annual Premium subscription, we’ll adjust the price accordingly based on the time you’ve already paid for. Please contact our support team to recalculate your base price.

>
What makes this different from other AI courses?

We don't teach "how to interact with LLMs": we teach how to build systems around them: backend, retrieval, monitoring, deployment. This is a fullstack AI engineering that is supported with real-life cases. Everything is done to upskill you to an AI engineer.

>
What’s the difference between the courses on Hyperskill and this program?

The bootcamp is a fast-paced, project-based program with completely new content. Unlike Hyperskill’s self-paced courses, it includes live webinars, expert mentorship, career guidance, and weekly coding sprints focused on building real AI products. You’ll get support, feedback, and hands-on experience from day one.

>
Can I take a look at the program?

If you have any additional questions about the program, please reach out to us in WhatsApp or schedule a call with our educational manager.

>
What are my refund options?

You can request a full refund up until the end of the first week of studies. After that, a refund is impossible. For additional information and the refund schedule, please reach us in WhatsApp or book a call for more details!

>
What’s included in instructor support?

Our instructors will conduct workshops, assist you and your group with project issues, complex topics, and more. Our instructors will be available daily to answer your questions via a dedicated Discord channel and on workshop sessions.

>
Will I receive a certificate upon completion?

Yes, upon successful completion of this program, you will receive a certificate from Hyperskill. You will receive a certificate of completion for the program. You can easily add these certificates to your LinkedIn profile to showcase your accomplishments to the professional world.

>
How can I get in touch with Hyperskill for further questions or support?

We would love to hear questions from you at our WhatsApp or on a call with our manager.