AWS First Cloud Journey Community Day 2025

Venue: Bitexco Financial Tower
Date: Saturday, 30 August 2025

Event Objectives

• Strengthen the AWS community through knowledge sharing and networking
• Showcase practical GenAI use cases across enterprise, academic, and banking domains
• Share implementation approaches for chatbots, RAG, and multi-agent automation on AWS
• Encourage builders to apply modern cloud patterns (serverless, event-driven) in real projects

Speakers

• Nguyễn Gia Hưng — Head of Solutions Architect, AWS
• Phạm Tiến Thuận Phát — Speaker (Enterprise Software)
• Lê Minh Nghĩa — Speaker (Enterprise Software)
• Trần Đoàn Công Lê — Speaker (Enterprise Software)
• Đinh Lê Hoàng Anh — Speaker (Academic)
• Nguyễn Tài Minh Huy — Speaker (Academic)
• Kiệt Lâm — Speaker (Banking / Internal IT)
• Nguyễn Ngọc Quỳnh Mai — Speaker (Banking: RAG + Multi-agent)
• Lê Phạm Ngọc Uyên — Speaker (Multi-agent)
• Phan Thị Thanh Thảo — Speaker (Multi-agent)
• Hồ Điền Dương Khoa — Speaker (Multi-agent)
• Nguyễn Quang Nhật Linh — Speaker (Multi-agent)
• Việt Lê — Speaker (AWS Partner / Cloud & AI)

Key Highlights

Opening & Community Direction

• Opening remarks on vision, objectives, and welcome; coffee networking to connect builders and share AWS learning paths.

Enterprise Chatbot: Unlocking Context with MCP on AWS

• Building an enterprise chatbot with advanced context handling.
• MCP concept: safer access/control/use of context.
• AWS implementation with live demo and production readiness lessons.

GenAI Kitchen Recipe Recommendation System

• Personalized recipe recommendations using GenAI.
• Workflow design on AWS linking data + recommendation logic + user experience.
• Demo plus discussion on improving personalization.

Internal Chatbot with RAG on AWS Serverless

• RAG approach: retrieve relevant knowledge then generate accurate answers.
• Building an internal FAQ/knowledge chatbot with a fully serverless AWS stack.
• Practical enterprise/internal use cases (policy, onboarding, operations).

GenAI Multi-Agent Systems for Process Automation

• Multi-agent architecture: specialized roles (planner/worker/tool-user).
• Serverless orchestration for reliable process automation.
• Banking scenarios: repetitive workflow automation and approvals.

GenAI with Kiro IDE & Strands Agent

• Turning ideas into working prototypes quickly for production and R&D.
• Workflow-orchestration mindset for multi-step GenAI tasks.
• Multi-agent demo showing productivity gains from tooling.

Key Takeaways

Design Mindset

• Start from the audience/problem (enterprise vs academic vs banking) before picking tools.
• Prioritize practical demos and lessons learned to shorten the build–test–iterate loop.
• Share patterns, reusable blocks, and trade-offs openly within the community.

Technical Architecture

• RAG suits internal knowledge/FAQ chatbots with large, changing content.
• Serverless helps ship GenAI prototypes faster with lower operational overhead.
• Multi-agent fits process automation when tasks can be decomposed into roles/steps/tool-calls.
• Workflow orchestration is critical for reliable multi-stage GenAI systems.

Applying to Work

• Pilot a small internal RAG chatbot for docs/FAQs; measure usefulness and maintenance effort.
• Prototype a multi-agent workflow for automation (triage, reporting, operations).
• Capture lessons from demos into reusable templates (architecture checklist, prompts, observability, cost).
• Host internal sharing sessions to spread common language and best practices.

Event Experience

This community day highlighted real-world GenAI builds on AWS across industries. Live demos, architecture deep dives, and networking provided actionable patterns for serverless RAG chatbots, multi-agent automation, and workflow design—valuable for planning practical GenAI initiatives.

Event Photos