Event

FREE data + AI knowledge sessions to help each others and learn from each other, share job opportunity

Session 7: AI Agents in Practice — Tools, RAG, Memory & Building One Live
An agent calls tools, retrieves data, remembers conversations. This session covers the patterns, then we build one together using vibe coding.
Demo (~15 min): Ask an AI copilot a complex multi-source question. Show logs: DB check → RAG retrieval → LLM reasoning → answer. Open the code: system prompt, context builder, knowledge layers, chat memory.
AI Hands-on (~20 min): Vibe-code a simple agent together. Using Claude Code, build a small agent that can: (1) query a database, (2) call a web API, (3) answer questions combining both. The audience suggests the domain. Show the AI writing the tool definitions, the system prompt, the orchestration — and where it needs human correction.
Open Floor (~15 min): Anyone built an agent? What's the hardest part? RAG practitioners: chunking, embeddings, stale docs? What tasks should NOT be given to an agent?

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| Session | Special Topic | AI Component |
| ------- | ------------- | ------------ |
| 1 | Data & AI Ecosystem overview | First prompt challenge — everyone builds something |
| 2 | Cloud Infrastructure (AWS/GCP/Snowflake) | Vibe-code a Dockerfile + docker-compose with AI |
| 3 | Data Pipelines & Quality | AI anomaly detection on messy data |
| 4 | Analytics & BI | Text-to-SQL — ask your database in English |
| 5 | ML Evaluation & Backtesting | AI as model critic — "what's wrong with my eval?" |
| 6 | LLMs Deep Dive | Live model shootout — 4 models, same prompt, group scores |
| 7 | AI Agents — Tools, RAG, Memory | Vibe-code a working agent together |
| 8 | Multi-Agent Systems | Group design exercise — sketch a multi-agent for your problem |
| 9 | Vibe Coding Deep Dive | Build a complete feature live with AI |
| 10 | Show-and-Tell & Opportunities | Community demos + jobs + what's next |