WWT Presents Labs & LearningAI & DataWWT Presents
Webinar

Hands-On Lab Workshop: Crafting Your First AI Agents

Event Overview

– Join our Virtual Lab Workshop to explore Crafting Your First AI Agent, a hands-on experience designed for developers, engineers, and tech enthusiasts interested in the future of AI. You’ll build real AI agents using LangChain for LLM pipelines, LangGraph for memory-driven workflows, and CrewAI for multi-agent collaboration. Learn to distinguish when to use simple tools versus dynamic, stateful, or team-based agent systems. This lab is all about practical skills—by the end, you’ll have built multiple agents and will know how they think, act, and make decisions. Engage with experts and get your questions answered during the live Q&A.

Featured Speakers

Brandon Swagman

World Wide Technology

Practice Manager

I am part of WWT’s Advanced Technology Center (ATC) Solution Development team focused on infrastructure technologies. We create and sustain high-qu...
Chance Cornell

World Wide Technology

Technical Solutions Arch I, ASD

Chance joined WWT in 2021 as an intern on the ATC Solutions Development team. He is now and Technical Solutions Engineer on the Users and Devices T...

What to expect

A one-hour virtual workshop. We kindly ask that you have your laptop ready to engage in hands-on lab activities.
  • Introductory Experience: Gain a high-level understanding of how it works and its benefits through a guided walkthrough.
  • Genesis of the Lab.
  • Challenges and opportunities encountered during the design of the lab.
  • Hands-On Lab: Perform real-time queries.
  • Interactive Q&A: Engage with the host and other participants through live Q&A sessions.
  • Practical Applications: Discover how the technology can significantly benefit your organization.

Goals and Objectives

• By the end of this lab, participants will: • Understand the core principles and terminology behind AI agents • Build a basic AI agent using the LangChain framework • Create a dynamic, memory-driven workflow using LangGraph • Design a collaborative multi-agent system using CrewAI • Learn when and how to apply each framework for different AI use cases

Who should attend?

• Developers and software engineers interested in building AI-powered applications • Data scientists and ML practitioners exploring agent-based workflows • Technical product managers looking to understand emerging AI tooling • Automation architects seeking to implement intelligent decision-making systems • Curious technologists who want hands-on exposure to LangChain, LangGraph, and CrewAI • Anyone with a basic understanding of Python and LLMs who wants to build functional AI agents from scratch