Author
What is it? The End-to-End AI Engineering Bootcamp by Aurimas Griciunas is an 8-week program that trains technical professionals to design, build, and deploy production-grade AI systems. It covers LLM APIs, vector databases, RAG, AI agents, Docker, Kubernetes, and cloud deployment through a sprint-based capstone project approach.
TL;DR: An 8-week bootcamp that takes developers from AI concepts to production deployment. You build a real AI application as a capstone project using LLM APIs (Gemini, Claude, GPT), vector databases, RAG pipelines, LangChain/LangGraph, Docker, FastAPI, and Kubernetes. Best for software engineers and data scientists who want to become full-stack AI engineers. Instant download available.
Verified Deliverables:
- 8-week structured bootcamp curriculum
- Sprint lesson videos with cheatsheets and reference code
- Live coding session recordings (Sprint Build Labs)
- Capstone project framework and templates
- AI agent and RAG implementation guides
- Docker, FastAPI, and Kubernetes deployment tutorials
- Delivery: Mega & Google Drive
- Lifetime access included
Why Full-Stack AI Engineering Matters in 2026
Knowing how to prompt ChatGPT is no longer a competitive advantage. Companies are hiring engineers who can build, deploy, and maintain production AI systems — not just prototype in notebooks. The demand for AI engineers who understand the full stack (from LLM APIs through vector databases to Kubernetes deployment) has grown rapidly. Most AI courses stop at the prototype stage. This bootcamp fills the gap between “I can use an API” and “I can ship a production AI application.” For those already working with AI tools, building on this with a solid AI agent development foundation creates a complete engineering skill set.
What’s Inside the Bootcamp
The curriculum follows a sprint-based structure modeled after real engineering workflows. Each week introduces a new concept through self-paced video lessons, cheatsheets, and reference code, followed by live coding sessions where you implement features in your capstone project.
The technology stack covers LLM APIs including Gemini, Claude, and GPT, with hands-on implementation rather than just API documentation walkthroughs. Vector databases and RAG (Retrieval-Augmented Generation) pipelines form the data layer, teaching you to build AI applications that work with your own data rather than relying solely on model knowledge.
The AI agent modules use LangChain, LangGraph, and ADK (Agent Development Kit) to build autonomous systems that can reason, plan, and execute multi-step tasks. Modern communication protocols including A2A and MCP are covered for agent interoperability. The deployment stack includes Docker, FastAPI, Kubernetes, and cloud deployment — production infrastructure that most AI productivity courses never touch. For those interested in no-code AI automation, the Maker School covers complementary workflow tools.
The bootcamp also covers observability, evaluation, and performance testing — the monitoring tools needed to keep AI systems reliable after deployment.
AI Engineering Bootcamp vs Self-Taught Path
| Feature | Self-Taught (Tutorials) | AI Engineering Bootcamp |
|---|---|---|
| Structure | Random YouTube videos and docs | 8-week sprint-based curriculum |
| Project output | Fragmented demos | Complete deployed capstone app |
| Deployment skills | Often skipped | Docker, Kubernetes, cloud included |
| Technology coverage | Usually one framework | LLMs + RAG + Agents + Infra |
| Portfolio-ready | Maybe | Yes — deployed app with repo |
About the Creator
Aurimas Griciunas teaches the bootcamp through Maven, a cohort-based learning platform. He runs Swirl AI and specializes in production AI engineering. The original bootcamp is priced at $1,900 and includes live sessions, Q&A, and Demo Day presentations. The curriculum reflects real-world engineering practices used in production environments.
Who This Course Is For
- Software engineers who want to transition into full-stack AI engineering roles
- Data scientists who need to learn production deployment and infrastructure
- Backend developers looking to add AI capabilities to their existing skill set
- Technical professionals preparing for AI engineering interviews and roles
For related AI training, explore AI & Automation courses. See also ChatRAG for hands-on chatbot building.
Not for you if: You have no programming experience. This bootcamp assumes you can write Python and understand basic software development concepts. It is not a coding introduction.
Why get it here: Original price $1,900 — instant download at $30. If the link breaks, we replace it within 24 hours. 30-day money-back guarantee if files are corrupt.
Why Buy From UDCourse
UDCourse provides verified course files with instant delivery. Every product is checked before listing. If a download link stops working, we replace it within 24 hours — no questions asked. You also get access via both Mega and Google Drive, so you always have a backup. Over 5,000 products available across AI, marketing, trading, and business categories.
End-to-End AI Engineering Bootcamp FAQ
What is the End-to-End AI Engineering Bootcamp?
An 8-week program by Aurimas Griciunas that trains developers to build and deploy production-grade AI systems using LLM APIs, vector databases, RAG, AI agents, Docker, and Kubernetes. Includes a capstone project framework.
Is this the complete course?
Yes. All sprint lesson videos, cheatsheets, reference code, build lab recordings, and project templates are included.
How do I access it after purchase?
Instant download link provided immediately after payment via Mega and Google Drive.
Who created this bootcamp?
Aurimas Griciunas, founder of Swirl AI, teaching through Maven. The original bootcamp costs $1,900.
Do I need programming experience?
Yes. Python proficiency and basic software development knowledge are required. This is not a beginner coding course.
What if the download link doesn’t work?
Contact us and we’ll replace it within 24 hours.
Is there a refund policy?
Yes. 30-day money-back guarantee if files are corrupt or incomplete.
