AI Engineer
Instructor-led bootcamp
Hyperskill's 10-week bootcamp: 100+ hours of practice, weekly AI projects and human code reviews. Part-time, for developers who already ship code.
Start: October 12 (7 seats left)
In partnership with 
This page is run by Egbe, a marketing partner of Hyperskill.
# current
languages: [Java, C#, TypeScript, Go]
backend: [APIs, SQL, queues, CI/CD]
+ llm: [prompting, tools, MCP]
+ agents: [multi-agent API, PR agent]
+ retrieval: [Qdrant, advanced RAG]
+ ops: [Langfuse, Ragas, guardrails]
+ deploy: [Docker, AWS, prod demo]
- data_science_background: requiredYou don't need to become a Python data scientist to ship LLM features.
The bootcamp adds LLM APIs, agents, retrieval, monitoring and deployment to what you already build. Examples are Python-based; pre-study materials cover the gap for Java, C# and JS developers.
- Next cohort
- October 12
- Length
- 10 weeks
- Load
- 10–12 h / week
- Feedback
- Weekly code review
- Price
- $2,299 with code AUTUMN
- Refund
- 7-day money-back
Students come from
10 weeks, sprint by sprint
- Sprint 1 · 2 wk
LLMs and pipelines
OpenAI API, retrieval, function calling, an MCP server.
- Sprint 2 · 2 wk
Agents and multi-agent systems
A FastAPI backend with several agents; a pull-request review agent.
- Sprint 3 · 1 wk
Vector databases
Qdrant: loading, indexing, vector search, optimization.
- Sprint 4 · 2 wk
RAG systems
LangChain; naive RAG first, then query rewriting, reranking, HyDE, routing.
- Sprint 5 · 2 wk
Monitoring and security
Langfuse, Ragas, NeMo guardrails, cost limits, caching.
- Sprint 6 · 1 wk
Deployment
Docker, AWS, logs, a production demo.
- Finish
Demo Day
Your own AI tool, 3–4 GitHub projects, a certificate.
Live sessions every 1–2 weeks, daily instructor chat, one year of Hyperskill Premium.
Read the full curriculum
The 10-week program as a PDF. It opens right away.
Opening the curriculum…
Why this and not a self-paced course
Live mentorship costs $100–300 an hour elsewhere. Here it is part of the price.
The team behind the bootcamp
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.
I've built and deployed LLM systems at scale in production environments. This training teaches the exact mindset and tools I'd expect from my engineering team.
When designing this bootcamp, we kept asking ourselves what developers need to thrive in AI today and build confidence and momentum through real projects.
I enjoy bridging the gap between complex technology and clear understanding. At Hyperskill Training, I help make advanced concepts accessible to learners.
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.
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.
Plus 10+ experienced educators specializing in technical training for developers. Team as presented on the official bootcamp page.
What people build after the bootcamp
AI nativeness4-week AI program: 7 of 10 prototypes ready for production
AI product buildingAn AI feature from idea to production in 2 weeks
AI product buildingA role-play trainer built with AI in a few weeks
SalesAI in B2B sales: leads doubled, costs down 15%
SupportZendesk AI assistant: tickets resolved 40% faster
FinanceYouTrack automation: overdue finance tasks down 63%
Case studies as published by Hyperskill; each card opens the original write-up.
Graduates, in their words
If I just needed a single project, I could hire a freelancer. But this is different. AI, especially LLMs, will be part of software development for a long time. You learn from people who've done it before — that's what made the studies meaningful.
We as developers need to be learning, learning, learning, and the current top topic is AI. So developers that want to move into this world – this bootcamp is the best choice.
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.
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.
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.
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.
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.
Reviews as published on the official bootcamp page.
What it costs
$2,299 $2,499
one-time, with code AUTUMN ($200 off). Set by Hyperskill.
Hyperskill's checkout · Terms of Use
- Full refund until the end of week 1
- 3 payments possible; Klarna in the US
- 10% off for you and a colleague
- Employer reimbursement letter on request
- Not sure? Book the free call first
Straight answers
Is this Hyperskill's website?
No. Egbe, a marketing partner of Hyperskill, runs this page and may be paid when someone books a call or enrolls through it. The bootcamp, the call and the payment are Hyperskill's; their own page is go.hyperskill.org/ai-engineer.
Do I have to know Python?
Not to start. Examples and support are Python-based; pre-study materials cover the gap. You need solid experience in a modern language and Git.
Will this get me a job?
Nobody can promise that, and Hyperskill doesn't: there is no job-placement guarantee. You leave with 3–4 reviewed projects on GitHub.
What happens after I book a call?
You pick a slot in Hyperskill's calendar and talk for 30 minutes with an educational manager: your background, the schedule, payment options, a personal discount. A conversation, not a checkout.
Book a 30-minute call
With a Hyperskill educational manager: your background, the schedule, payment options and a personal discount. You pick the time in their calendar.
Start: October 12 (7 seats left)
Taking you to Hyperskill's calendar…