What Your Team Will Build
🤖
Working Agent
Functional prototype
🔌
MCP Server
Custom integrations
👥
Multi-Agent
Orchestration patterns
🚀
Deployment
Production-ready
Technologies Covered
Model Context Protocol (MCP) Claude Agents SDK OpenAI Agents SDK LangGraph FastMCP Vercel Deployment

Participants work with their preferred stack. All code templates provided in Python with full documentation.

Who Should Attend
  • Engineering teams (5-20 developers)
  • AI/ML engineers building production systems
  • Backend developers adding AI capabilities
  • Tech leads evaluating agent architectures

Prerequisites: Python proficiency, familiarity with REST APIs

Workshop Agenda
Day 1: Foundations & First Agent
  • Agent architecture fundamentals
  • MCP protocol deep-dive
  • Building your first MCP server
  • Tool integration patterns
  • Hands-on: Chat application with tools
Day 2: Production & Multi-Agent
  • Serverless deployment (Vercel)
  • Multi-agent orchestration
  • Handoffs and delegation patterns
  • Security, permissions, guardrails
  • Capstone: End-to-end agent system
What Your Team Takes Away
Working prototype built on your tech stack
7 code templates covering all major patterns
Architecture decision framework for agent design
Production deployment guide (Vercel, Docker)
Security best practices checklist
30-day Q&A access for implementation support
Your Instructor
34+
O'Reilly Courses
4,935
Professionals Trained
9.37
Avg Rating /10
91%
Excellent Ratings

Lucas Soares | O'Reilly Media Instructor | Author, "Skills for AI Agents" (O'Reilly)

€6,000 - €10,000
Up to 15 participants | 2 days | On-site or virtual
Travel expenses additional for on-site delivery
Ready to Upskill Your Engineering Team?

Schedule a 20-minute discovery call to discuss your team's goals and customize the workshop agenda to your tech stack and use cases.