End-to-End AI Engineering Bootcamp – Aurimas Griciunas

End-to-End AI Engineering Bootcamp – Aurimas Griciunas

What you’ll learn

Master end-to-end AI engineering – transform prototypes into production-ready apps with LLMs, RAG & agents in just 8 weeks.

Design and optimize RAG architectures

• Learn how to systematically evaluate and improve RAG based systems.

• Apply techniques like Hybrid Retrieval (BM25 + Dense Embeddings) and Reranking to optimise Retrieval process of your RAG Systems.

• Utilize synthetic data generation to help you improve the system without needing real user data.

Engineer and orchestrate agentic systems

• Create agents that can plan steps, use tools and complete tasks on their own.

• Evolve your RAG into Agentic RAG System to support complex user queries grounded in context from different data sources.

• Connect your Agentic Systems to tools via MCP.

Design and deploy multi-agent systems for complex workflows

• Learn patterns for designing Multi-Agent Systems and how to add safeguards so that they act predictably.

• Implement A2A (Agent to Agent) protocol to allow your agents to communicate with other remote agents.

• Implement evaluation strategies targeting multi-agent systems.

Implement structured prompt and context management

• Learn to use structured outputs so the model’s responses fit cleanly into downstream systems.

• Apply best practices for prompt versioning and evolution.

Apply LLMOps for observability and continuous evaluation

• Learn how to Evaluate GenAI applications of different complexities and architectures.

• Implement Eval Quality Gates as part of your CI/CD pipeline.

• Add Observability to your systems from the first week.

Build and deploy production-grade GenAI applications

• Set up APIs and services so they run reliably in production.

• Deploy your application to the cloud and expose it to potential users.

Learn directly from Aurimas

Aurimas Griciunas

LinkedIn Top Voice in AI • Founder & CEO @ SwirlAI

Aurimas Griciūnas is a recognized AI expert, LinkedIn Top Voice in AI, and the founder of SwirlAI. He previously served as Chief Product Officer at Neptune.ai where he worked closely with top ML teams to scale infrastructure, evaluation, and LLMOps practices across industries. With over a decade of experience at the intersection of data science, machine learning, and software engineering, Aurimas has led AI initiatives in both startups and enterprise environments. His mission is to bridge the gap between hype and reality by teaching engineers how to build systems that work in the real world. Students will benefit from his hands-on knowledge, technical depth, and product-first mindset – gained by solving actual engineering problems.

Who this course is for

• Data Professionals (Analysts & Scientists)

Looking to move beyond analysis and modeling to build and deploy real-world AI systems.

• ML Engineers

Who want to deepen GenAI skills and master scalable, production-ready AI engineering from end to end.

• Data Engineers

Ready to expand into AI by learning how to integrate data pipelines with LLMs, RAG, and agent-based systems.