AI Engineer Instructor-led
Bootcamp
With live support, code review, production stack, and ~100 hours of work
October 27
book an online meeting




Learn one of the most in-demand tech skills of 2025
Traditional development
Programming skills in Python/backend
Upskilling with AI Engineering bootcamp
Build multi-agent systems and orchestrate LLM pipelines
Implement monitoring, security, and cost controls for LLM apps
Deploy AI systems to production (Docker, AWS, CI/CD)
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

> 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

multi-agent systems
> Create robust pipelines using LLM APIs
> Automate any operations with complex AI agentic systems
> Use your own data to power RAG systems

to production
> 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
Why Hyperskill Training
works
Created with
JetBrains Academy
The team behind Hyperskill training
Bootcamp program
& Pipelines
LLM-based apps
What students do:
Work with OpenAI API, write a CLI chat, build an assistant with retrieval, function calling, and visualization.& Multi-Agent Systems
AI agents
FastAPI
and LlamaIndex
What students do:
Build a FastAPI backend with multiple agents + GitHub PR Review Agent using LlamaIndex and GitHub Actions.Qdrant
What students do:
Build a FastAPI application on Qdrant: data loading, indexing, vector search, optimization.LangChain
to create Retrieval-Augmented Generation systemsRAGs
What students do:
Progress from vector search to RAG: build end-to-end pipeline, then implement query rewriting, reranking, HyDE, and data-source routing.Langfuse
What students do:
Set up Langfuse and Ragas, collect metrics, track tokens, implement NeMo guardrails, cost-limits, and LLM-API proxy.What students do:
Package everything in Docker, deploy to AWS, manage environment variables and logs, demonstrate production version.What our students say
Complete learning package
+ 7-day money back guarantee
Not sure yet? Let's talk about your professional goals
Frequently asked questions
Both. Live webinars every 1–2 weeks, daily async support, full materials and recordings available throughout and after the program.
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.).
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.
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.
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.
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.
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.
If you have any additional questions about the program, please reach out to us in WhatsApp or schedule a call with our educational manager.
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!
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.
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.
We would love to hear questions from you at our WhatsApp or on a call with our manager.