What we’re about
Welcome to Data Science Dojo's Meetup group. Our goal is to help connect other like-minded business professionals who are interested in teaching, learning, and sharing their knowledge and understanding of data science to a larger community.
We encourage all members of this group to be pro-active in leading discussions on topics related to data science like machine learning, artificial intelligence, predictive analytics, big data, and IoT, as well as programming languages such as R, Hadoop, and Python.
Stay tuned to our Meetup calendar for future community events and be sure to follow us on Twitter at @DataScienceDojo. Also, be sure to visit our data science bootcamp for more information about our training.
Upcoming events (4)
See all- Future of Data and AI: Agentic AI ConferenceLink visible for attendees
After the huge success of the Agentic AI Conference this past May with 51,000+ attendees, we’re back for the second edition - happening September 15–19, 2025 - and it’s fully virtual!
Join us for five days of expert-led sessions and hands-on workshops from the builders shaping the future of agentic systems:
✅ Designing Intelligent Agents: The role of memory, cognition, and planning
✅ Architecting Scalable Multi-Agent Workflows: From coordination to orchestration
✅ Managing Security and Governance in MCP Deployment: Best practices for safe and compliant AI
✅ Building Agentic Research Assistants with Reka: Multi-source intelligence for business and markets
✅ Giving Eyes to Your AI: Building Vision-Enabled Agents with Haystack
✅ From Data to Agents: Building GraphRAG systems with structured & unstructured data
✅ Going Beyond the Chatbot: Building event-driven agents with GitHub Webhooks
✅ Workshop on Visualizing Transformer Models by Luis Serrano
✅ Workshop on Building AI Agents with Vector Databases by Weaviate
✅ Workshop on Building Agentic AI for Semantic Search by Pinecone
✅ Workshop on Building Smarter Agents, Faster by Arize
✅ Workshop on LandingAI’s Agentic Document ExtractionRegistration is required — Register Now to secure your spot!
- A Visual Journey Through Transformer Models: Embeddings, Attention, RAG & AgentsLink visible for attendees
As part of the Future of Data and AI: Agentic AI Conference, join us for an immersive, hands-on workshop that demystifies the architecture of transformer models through intuitive visualizations and practical coding exercises - no prior machine learning background required!
You’ll:
- Explore the foundational components of transformer models, including embeddings and the attention mechanism.
- Understand how advanced techniques like Retrieval-Augmented Generation (RAG) and AI agents extend transformers.
- Participate in a guided codelab to reinforce concepts through real-world implementation.
Whether you’re new to AI or seeking to strengthen your technical foundation, this workshop will equip you with both conceptual clarity and practical skills.
📌 Registration is required. Register now to secure your spot
- Building Flexible RAG SystemsLink visible for attendees
As part of the Future of Data and AI: Agentic AI Conference, join us for an immersive, hands-on workshop that equips you with practical strategies to build and optimize RAG retrievers for high-performing Retrieval-Augmented Generation systems.
You'll:
- Understand why the retriever is the most critical part of a RAG system and how it shapes response quality.
- Apply strategies to improve retrievers for more accurate and reliable context retrieval.
- Build flexible retrievers from scratch that adapt to user intent over time.
📌 Registration is required. Register now to secure your spot.
- Building GenAI Applications using FloTorchLink visible for attendees
As enterprises adopt GenAI, the challenge isn’t just accessing powerful LLMs — it’s building scalable, reliable, and production-ready applications that deliver real business value. In this session, we’ll introduce FloTorch, a framework designed to simplify development by enabling evaluation, observability, and guardrails across different model providers.
We’ll begin with an overview of the core challenges in deploying AI systems at scale — from model selection and evaluation to monitoring performance and ensuring responsible behavior. Then we’ll show how FloTorch provides a unified workflow to integrate LLMs from multiple providers, helping teams experiment, benchmark, and operationalize models without vendor lock-in.
A live demo will walk through building a scalable application with FloTorch, highlighting how developers can add monitoring, safety checks, and structured evaluation into their pipelines. We’ll also explore strategies for ensuring trust, compliance, and efficiency when deploying AI into customer-facing workflows.
#### What We Will Cover:
- Key challenges in deploying GenAI at scale
- How FloTorch enables interoperability across multiple providers
- Building evaluation pipelines to measure model quality and performance
- Adding observability and guardrails to ensure safe, reliable outputs
- Strategies for scaling applications from prototype to production
- Real-world use cases and business applications powered by FloTorch
#### Hands-On Insights:
Through live demos and interactive Q&A, participants will learn how to use FloTorch to rapidly prototype, evaluate, and operationalize GenAI solutions — with built-in tools for observability, guardrails, and scalability.
