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SyrvAI - AI to Serve
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Developer TrackMulti-day (2-3 days)

Building Production AI Agents

Design, Build, and Deploy Autonomous AI Systems

This advanced workshop goes beyond basic agent concepts to teach you how to build reliable, scalable AI agent systems. You'll implement ReAct reasoning, design multi-agent workflows, create comprehensive evaluation suites, and deploy agents with proper monitoring and guardrails.

What You'll Learn

Agent architectures: ReAct, tool-use, planning patterns
Multi-agent orchestration and communication
Guardrails, safety, and reliability patterns
Evaluation frameworks and testing strategies
Production deployment and monitoring

Full Curriculum

Detailed breakdown of workshop modules and timing

1

Agent Architecture Deep Dive

90 min

ReAct pattern, thought-action-observation loops, planning strategies, and memory systems.

2

Tool Design & Integration

75 min

Designing effective tools, function calling patterns, error handling, and tool composition.

3

Hands-on: Build a Research Agent

120 min

Implement a tool-using research agent with web search, document analysis, and structured outputs.

4

Guardrails & Safety

75 min

Input validation, output filtering, rate limiting, cost controls, and human-in-the-loop patterns.

5

Multi-Agent Architectures

90 min

Orchestration patterns, agent communication, delegation strategies, and consensus mechanisms.

6

Hands-on: Multi-Agent Workflow

150 min

Build a multi-agent system with specialized agents (researcher, writer, critic) collaborating on tasks.

7

State Management & Memory

60 min

Conversation memory, long-term storage, shared state between agents, and context windowing.

8

Evaluation Frameworks

90 min

Designing test suites, metrics for agent quality, regression testing, and continuous evaluation.

9

Hands-on: Agent Evaluation Suite

120 min

Build a comprehensive evaluation framework for your agents with automated testing.

10

Production Deployment

75 min

Monitoring, observability, scaling strategies, incident response, and operational best practices.

11

Capstone Project Review

60 min

Present and review agent systems built during the workshop, feedback and next steps.

Workshop Outcomes

What you'll walk away with

Design and implement ReAct-pattern agents
Build multi-agent systems with orchestration
Create comprehensive evaluation frameworks
Deploy agents with proper monitoring and guardrails
Apply safety patterns for production systems

Who This Workshop Is For

Senior engineers, ML engineers, technical architects building autonomous AI systems

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