About us
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.
We are always looking for new speakers/presenters! If you're interested, please email Nathan at npiccini@datasciencedojo.com.
Upcoming events
1
Scaling AI Beyond Single Agents: Multi-Agent Architectures with LangChain
·OnlineOnline### Designing Scalable Multi-Agent AI Systems with LangChain
As AI applications grow more complex, single-agent models often struggle with overloaded context, unclear responsibilities, and fragile workflows. Multi-Agent AI solves these challenges by distributing tasks across specialized agents that collaborate, delegate, and execute processes efficiently.
In this session, we’ll explore how to design and implement scalable multi-agent systems using LangChain. You’ll learn when multi-agent architectures are essential, how patterns like subagents, skills, handoffs, and routers work in practice, and how they help manage context, specialization, and task distribution in real-world AI workflows.
A live, hands-on demonstration will show how to define, compose, and orchestrate LangChain agent skills within a framework of collaborating agents. You’ll see how agents collaborate, route tasks intelligently, and scale beyond simple demos into production-ready systems. By the end of the session, you’ll have a clear framework for implementing these systems in your own projects.#### 🛠️ What We’ll Cover:
- Foundations of Multi-Agent Systems – Why they outperform single-agent approaches
- Core Architecture Patterns – Subagents, skills, handoffs, and routers explained with practical examples
- Choosing the Right Design – Decision framework for selecting the best LangChain setup
- Agent Skills in Practice – Defining, composing, and invoking modular agent capabilities
- Orchestration & Context Management – Task routing strategies and managing shared context
- Live Demo – Implementing and orchestrating agent skills using LangChain
- Performance Considerations – Real-world trade-offs and scalability challenges
#### 🔍 Why Attend?
- Build scalable multi-agent systems for complex, real-world tasks
- Understand practical design patterns and architectural trade-offs
- Experience live demonstrations beyond slide-based sessions
- Leave with actionable guidance you can apply immediately
6 attendees
Past events
235
