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Here’s What You Get:

What It Is

The Aurimas Griciunas – End-to-End AI Engineering Bootcamp is an 8-week intensive, cohort-based training designed to transform technical professionals into full-stack AI engineers capable of designing, building, and deploying real-world AI applications (not just demos).

• Leader: Aurimas Griciūnas — LinkedIn Top Voice in AI, Founder & CEO of SwirlAI, and former CPO at Neptune.ai.

• Format: Weekly sprint-based curriculum with live sessions, labs, Q&A, hands-on coding, and a capstone project.

• Audience: Data scientists, ML engineers, data engineers, software engineers, and technical professionals looking to build and ship production-ready AI systems.

Core Learning Goals

This bootcamp emphasizes end-to-end AI engineering skills, including:

Production-Ready AI Development

• Build real AI apps using large language model (LLM) APIs (e.g., GPT, Claude, Gemini).

• Integrate vector databases, RAG (Retrieval-Augmented Generation) systems, and agent frameworks such as LangChain and LangGraph.

• Deploy services with Docker, FastAPI, Kubernetes, and cloud infrastructure.

Advanced Architecture Patterns

• Design and evaluate agentic and multi-agent systems for complex workflows.

• Learn hybrid retrieval techniques (dense + BM25), reranking, and synthetic data methods to enhance RAG accuracy.

• Implement structured prompt and context engineering for robust model input/output handling.

LLMOps & Reliability

• Add observability, performance monitoring, and quality evaluation to AI systems.

• Integrate evaluation gates in CI/CD pipelines for continuous testing and deployment.

• Build systems with real-world reliability rather than simplistic prototypes.

Capstone Project

• Build, document, and deploy a real AI application over the sprint-based curriculum.

• Present your project on Demo Day with a working code repository and live demo — great for portfolios and hiring.

Learning Structure

Each week models real engineering sprints:

• Sprint Lesson (Mon): Self-paced videos, cheatsheets, and reference code.

• Sprint Review (Tue): Live walkthrough and in-depth Q&A with Aurimas.

• Sprint Build Lab (Thu): Live coding with guided implementation.

Weekly time commitment: ~5 hrs live + ~7 hrs project work.

What You Get

• Live sessions with direct access to the instructor.

• 30+ hours of pre-recorded coding labs, plus extensive reading material (~250+ pages).

• Lifetime access to content and recordings.

• Compute credits (e.g., $500 in Modal credits for deployment).

• Completion certificate to demonstrate your skills.

• Community and peer network for collaboration and accountability.

Why It’s Valuable

• Focuses on building deployable systems, not academic concepts or toy examples.

• Covers modern production tools and practices like observability, LLMOps, structured prompts, and agent orchestration — skills sought by today’s AI teams.

• Designed around real engineering patterns used in industry rather than isolated coding exercises.

Who Should Join

This bootcamp is especially suited to professionals who want to:

• Transition into AI engineering roles from ML or data backgrounds.

• Level up their ability to build scalable, reliable AI products.

• Demonstrate real portfolio projects to potential employers or investors.

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