Workshop 📅 March 15, 2024 ⏱ 10:00 AM — 4:00 PM

AI Agents Workshop 2024

📍 Virtual (Zoom)👥 120 attendees

A hands-on session where participants built their first autonomous agent using LangChain and OpenAI APIs. Attendees learned prompt engineering, tool integration, and agent orchestration patterns in a collaborative environment.

Highlights
  • Built a ReAct agent from scratch
  • Integrated custom tools and APIs
  • Deployed agents to production templates
Bootcamp 📅 January 22, 2024 ⏱ 9:00 AM — 5:00 PM (3 days)

Python for AI Bootcamp

📍 Virtual (Zoom)👥 200 attendees

An intensive 3-day bootcamp covering Python fundamentals through to data processing and ML pipeline basics. Designed for beginners looking to enter the AI engineering field with a solid programming foundation.

Highlights
  • Python syntax to OOP mastery
  • NumPy and Pandas for data processing
  • Built a simple ML classifier
Summit 📅 November 10, 2023 ⏱ 11:00 AM — 3:00 PM

FastAPI & LLM Integration Summit

📍 Virtual (Zoom)👥 85 attendees

A deep-dive summit focused on building production-ready APIs that serve LLM-powered applications. Covered authentication, streaming responses, rate limiting, and deployment strategies.

Highlights
  • Streaming LLM responses via SSE
  • Rate limiting and cost management
  • Docker + CI/CD for API deployment
Hackathon 📅 September 5, 2023 ⏱ 48 hours

AI Agents Hackathon

📍 Virtual (Discord + Zoom)👥 350 attendees

Our largest community event to date — a 48-hour hackathon challenging teams to build innovative AI agent solutions. Projects ranged from personal assistants to research automation tools.

Highlights
  • 48 hours of continuous building
  • Mentorship from industry experts
  • Prizes for top 3 projects
Workshop 📅 July 18, 2023 ⏱ 2:00 PM — 5:00 PM

RAG Deep Dive Workshop

📍 Virtual (Zoom)👥 95 attendees

Focused entirely on Retrieval-Augmented Generation systems. Attendees learned vector database setup, embedding strategies, chunking techniques, and evaluation frameworks for production RAG pipelines.

Highlights
  • Vector DB setup and optimization
  • Chunking strategies compared
  • RAG evaluation frameworks