Vassilis Karabalis

The final sessions of the Gen AI Bootcamp focus on advanced AI workflows and real-world application deployment.

In RAG & Tools Integration, participants learn Retrieval-Augmented Generation fundamentals—including embeddings, vector databases, and retrieval workflows—while exploring tool calling and agentic patterns to make AI applications more context-aware and reliable.

During the Lab: Build & Deploy, attendees integrate their local LLM, RAG pipeline, and tools to complete a fully functional GenAI application, ready for deployment and validation.

The day concludes with the Live Demo Showcase, where selected participants present their applications, share insights, receive feedback, and celebrate achievements—fostering community, inspiration, and peer learning.

Deliverables: A deployed GenAI application, recognition for participants, and strengthened community connections.

Read more details at https://productledhub.com/gen-ai-unfold-summit/gen-ai-development-bootcamp/

The afternoon sessions focus on building end-to-end GenAI applications by combining AI backends with modern frontend frameworks.

We start with TypeScript + Vercel AI SDK Fundamentals, where participants learn to design and implement GenAI backends. The session covers SDK architecture, API patterns, streaming responses, and prompt engineering, culminating in a working “Hello World” GenAI app.

Next, in Next.js + Shadcn UI Frontend Development, participants create a modern, reusable frontend connected to their AI backend. This session emphasizes project structure, state management, UI/UX best practices, and integration, delivering a functional frontend scaffold with chat UI ready for further development.

Read more details at https://productledhub.com/gen-ai-unfold-summit/gen-ai-development-bootcamp/

A One-Day Hands On Training Experience on Gen AI Applications

An immersive, hands-on technical bootcamp designed for engineers who want to dive into the AI era. Participants will learn LLM fundamentals, set up local models (Ollama, LM Studio), and build their first generative AI web application using TypeScript, Vercel AI SDK, Next.js, and Shadcn UI components. The session covers Retrieval-Augmented Generation (RAG) and tool integration, empowering attendees to code and deploy their own GenAI apps in one day—all running on their local machines.

By day’s end, every participant will have a working AI application running on their local machine—ready to extend and deploy to production.

The morning sessions of the Bootcamp provide participants with a hands-on foundation in Large Language Models (LLMs) and their practical applications.

We begin with a Unified Kickoff, introducing the agenda, learning objectives, and the transformative impact of generative AI on product and engineering workflows. From there, the LLM Fundamentals Deep Dive builds a strong conceptual understanding of how LLMs work, including tokens, context windows, temperature, and prompting strategies.

Finally, in Local LLM Setup & Configuration, participants get practical experience installing and running a local LLM using tools like Ollama or LM Studio, exploring performance considerations, privacy benefits, and model trade-offs. By the end of the morning, each participant will have a fully functional local LLM ready for experimentation and hands-on exercises.

Read more details at https://productledhub.com/gen-ai-unfold-summit/gen-ai-development-bootcamp/

In this session, participants will explore how to unlock the full potential of Claude for building enterprise-grade AI applications. We’ll cover practical strategies for integrating Claude into real-world workflows, extending its functionality with custom tools, and implementing Model Context Protocol (MCP) servers to enable scalable, secure, and production-ready AI systems. Designed for technical leaders, product teams, and AI practitioners, this talk provides actionable insights for deploying Claude-powered solutions at scale.