NYC | Agentic AI Workshop

This workshop is your chance to get ahead of the curve. In two immersive days, you’ll learn how agents reason, plan, and act — and you’ll build your own working prototypes that showcase these capabilities.

Whether you’re a developer, data scientist, entrepreneur, executive, or business innovator, you’ll gain hands-on experience with the latest agentic frameworks — from Langflow and CrewAI to retrieval and memory systems that power autonomous behavior.

No heavy coding required — just curiosity, creativity, and a desire to explore what’s next.

Don’t just read about the next big leap in AI — build it.

• Ticket prices and availability are subject to increase or decrease, at the discretion of ODSC AI, before and/or after you have made your purchase, and do not entitle the purchaser to a partial refund or credit.
• Given the nature of live events, changes to specific sessions and/or presenters may be unavoidable and do not entitle the purchaser to a partial (or full) refund or credit. ODSC AI reserves the right to expel and/or void the Ticket of any attendee or participant who violates the .

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

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

Info: 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.

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

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

Info: 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.

Info: 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.

Info: Recap of Day 1 learnings.
Review hackathon goals, deliverables, and judging criteria.
Team formation and project theme selection.

Info: Introduction to Google AI Developer Kit (ADK) and Gemini models.
Setting up the environment and connecting to Google AI Studio APIs.
Example: Deploying an agent using ADK tools for retrieval and tool integration.
Optional track for participants interested in Google’s ecosystem.

Mentors assist others starting on different frameworks (e.g., LangChain or CrewAI)

Info: Teams define their problem statement and build core agent workflows.
Mentors available for architecture and framework support.

Info: Continue building and testing agents.
Midpoint technical review and checkpoint with mentors.

Info: Live demos and presentations from each team.
Feedback and judging by a panel of AI mentors and instructors.
Awards and discussion of next steps for project continuation.

Know what’s Happening Next — before everyone else does.

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Host or Publisher ODSC Team | odsc.com