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Agentic AI Engineer
Instructor-led bootcamp
with live support, code review, production stack, and ~100 hours of work
Learn one of the most in-demand tech skills of 2026
Traditional development
Programming skills in Python/backend
Upskilling with AI Engineering bootcamp
Build multi-agent systems and orchestrate LLM pipelinesImplement monitoring, security, and cost controls for LLM appsDeploy AI systems to production (Docker, AWS, CI/CD)Enter a market where 50%+ of AI Engineer roles remain unfilled20-35% 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
Case studies & examples of what you'll learn to build
after the bootcamp
Watch a free webinar to find out if this bootcamp is for you
Shipping production-ready AI features
Partnering with the best
Why Hyperskill Bootcamps work
The team behind Hyperskill Bootcamps
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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 agentsFastAPI 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.LangfuseWhat 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
You learn from people who’ve done it before, that’s what made studies meaningful.
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Complete learning package for your 2026
Not sure yet? Let's talk about your professional goals
Frequently asked questions
We're happy you're with us! You will have two options depending on your current plan:
- We subtract the 3 months of Premium already included in the bootcamp
You get a small discount on the bootcamp price (works best if you have a 6- or 12-month plan). - We keep your current subscription as is
When it ends, we extend it by 1 full year for free (normally $399).
For exact numbers in your case, please contact our Educational Manager in the chat, and we’ll calculate everything for you.
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 break. We understand that each learner's pace may vary, however, most learners are expected to dedicate 8-10 hours per week to their studies.
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 a chat 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 a chat 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 in our chat or on a call with our manager!