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Event

Agentic AI Workshop | New York City

2026-01-20 – 2026-01-20 Meetup Visit website ↗

Activities tracked

6

This is PAID event. RSVP here - https://luma.com/wi0ylmty

Stop Reading. Start Building. Master Agentic AI in 1 Day in NYC.

The Next Generation of AI is Here. Are You Ready to Build It? Agentic AI is fundamentally reshaping how intelligent systems think, plan, and execute. This hands-on, 1-day immersive workshop is your fast track to getting ahead of the curve, transforming you from an observer into a builder of autonomous AI.

Join us in the heart of Manhattan for an intensive experience dedicated to mastering the core principles of Agentic AI. You won't just hear about theory—you'll leave with working prototypes, a Certificate of Completion, and the expertise to deploy the most advanced AI systems.

Event Details

  • What - Agentic AI Workshop
  • When - January 20th, 2026
  • Where - SerendipityLabs - Financial District, Manhattan, NY

AGENDA 9:00 – 9:30 AM \| Welcome & Orientation

  1. Introductions and overview of the 1-day workshop
  2. What is Agentic AI?
  3. Objectives and outcomes of the workshop and hackathon

9:30 – 10:30 AM \| Build Your First Agent (Langflow Hands-On)

  • Quick intro to agentic AI and Langflow interface
  • Build a basic agent: LLM + tool + feedback loop
  • Run and observe your first autonomous workflow

10:30 – 11:00 AM \| Coffee Break 11:00 AM – 12:00 PM \| Understanding LLMs and Prompt Design

  • Overview of Large Language Models (LLMs)
  • Prompt engineering, reasoning, and Chain-of-Thought (CoT)
  • Introduction to ReAct prompting and reasoning loops
  • How LLMs enable agentic reasoning

12:00 – 12:30 PM \| Guided Exercise: Build a ReAct Agent

  • Extend your Langflow agent with reasoning
  • Add tool use and structured task execution

12:30 – 1:30 PM \| Lunch Break 1:30 – 2:30 PM \| Architecture of Agentic Systems

  • Components: planning, memory, tools, and environment
  • Frameworks overview: LangChain, CrewAI, LlamaIndex
  • The Agent Loop: perception → reasoning → action → feedback
  • Examples of orchestration and coordination

2:30 – 3:30 PM \| Memory\, Context\, and Retrieval-Augmented Generation (RAG)

  • Short-term vs. long-term memory in agents
  • How RAG extends memory through retrieval
  • Integrating vector databases and embeddings
  • Demo: augmenting agent responses with external knowledge

3:30 – 4:00 PM \| Coffee Break 4:00 – 5:00 PM \| Building Multi-Agent Systems with CrewAI

  • Multi-agent collaboration patterns (planner, critic, executor)
  • Using CrewAI to coordinate roles and goals
  • Designing modular, role-based workflows
  • Preparing agents for real-world applications

Who Should Attend? This is not just for coders. Whether you are a Developer, Data Scientist, Entrepreneur, Executive, or Business Innovator, you will gain the hands-on experience needed to integrate autonomous AI capabilities into your products and workflows. No heavy coding is required—just curiosity and a desire to lead the next AI revolution. Action Now: Secure Your Spot & Save! Early Bird Pricing is the best way to gain full access to two days of training, guided exercises, and your official ODSC AI Certificate of Completion.

  • Early Bird Price: $299
  • Standard Price: $699
  • Group Discount: Save 20%+ when you bring a team of 3 or more.
  • Message to [email protected] for group discount

Don’t miss your chance to build the future of AI.

Useful Links

Sessions & talks

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Building Multi-Agent Systems with CrewAI

2026-01-20
workshop
crewai multi-agent systems planner critic executor

Multi-agent collaboration patterns (planner, critic, executor); Using CrewAI to coordinate roles and goals; Designing modular, role-based workflows; Preparing agents for real-world applications.

Memory, Context, and Retrieval-Augmented Generation (RAG)

2026-01-20
workshop
RAG vector databases embeddings

Short-term vs. long-term memory in agents; How RAG extends memory through retrieval; Integrating vector databases and embeddings; Demo: augmenting agent responses with external knowledge.

Architecture of Agentic Systems

2026-01-20
workshop
langchain crewai llamaindex

Components: planning, memory, tools, and environment; Frameworks overview: LangChain, CrewAI, LlamaIndex; The Agent Loop: perception → reasoning → action → feedback; Examples of orchestration and coordination.

Guided Exercise: Build a ReAct Agent

2026-01-20
workshop
langflow React

Extend your Langflow agent with reasoning; Add tool use and structured task execution.

Understanding LLMs and Prompt Design

2026-01-20
workshop
llms prompt design chain-of-thought react prompting

Overview of Large Language Models (LLMs); Prompt engineering, reasoning, and Chain-of-Thought (CoT); Introduction to ReAct prompting and reasoning loops; How LLMs enable agentic reasoning.

Build Your First Agent (Langflow Hands-On)

2026-01-20
workshop
langflow

Quick intro to agentic AI and Langflow interface; Build a basic agent: LLM + tool + feedback loop; Run and observe your first autonomous workflow.