Build Enterprise Multi-Agent AI Systems - Advanced Automation Mastery

Build Enterprise Multi-Agent AI Systems - Advanced Automation Mastery

Master the future of AI automation by building enterprise-grade multi-agent systems. Learn to design, deploy, and scale sophisticated AI agent architectures that automate complex business workflows and command premium salaries in enterprise automation roles.

WHAT YOU'LL BUILD IN THIS 4-HOUR WORKSHOP:

✅ Complete multi-agent AI system architecture from scratch

✅ Portfolio Leadership Agent that orchestrates specialized agents

✅ Business Owner Agent with Jira API integration

✅ RTE Agent with GitHub API integration

✅ Developer Agent with code execution capabilities

✅ Production-ready automation pipelines

✅ Advanced tool boundaries and security permissions

✅ Real-world enterprise portfolio management system

SKILLS YOU'LL MASTER:

• Multi-agent system design and architecture patterns

• Complex workflow orchestration and coordination

• Enterprise automation patterns and best practices

• Production deployment strategies and scaling

• Agent delegation and communication patterns

• Tool boundary design and security implementation

• Memory and context management across agents

• Error handling and retry logic for reliability

• Monitoring and observability for production systems

PERFECT FOR:

• Automation engineers and architects seeking enterprise-level skills

• Technical leads and senior developers building AI systems

• Enterprise automation specialists wanting to level up

• DevOps engineers integrating AI into workflows

• Technical professionals ready for advanced automation

• Anyone building production AI systems that scale

WHAT MAKES THIS ADVANCED:

This is NOT a beginner class. You'll learn enterprise-level patterns used by Fortune 500 companies:

• Production-tested architecture patterns from real enterprise systems

• Security-first design with tool boundaries and permissions

• Scalable orchestration strategies for complex workflows

• Real-world case studies from actual portfolio management systems

• Hands-on building of complete, deployable systems

• Best practices from production deployments handling thousands of requests

CLASS STRUCTURE (4 Hours - Hands-On Building):

Hour 1: Multi-Agent Architecture Foundations

• Introduction to multi-agent systems and why they're the future

• Architecture patterns: hierarchical, orchestrator, peer-to-peer

• When to use multi-agent vs single-agent systems

• Real-world use cases and enterprise examples

Hour 2: Building Your First Multi-Agent System

• Hands-on: Build Portfolio Leadership Agent (orchestrator)

• Implement agent delegation patterns

• Configure tool boundaries and permissions

• Set up memory and context management

Hour 3: Enterprise Integrations & Advanced Patterns

• Integrate Jira API (Business Owner Agent)

• Integrate GitHub API (RTE Agent)

• Build complex workflow orchestration

• Implement error handling and retry logic

• Design agent communication patterns

Hour 4: Production Deployment & Real-World Systems

• Deployment strategies: n8n Cloud, self-hosted, Docker, Kubernetes

• Monitoring and observability setup

• Scaling strategies for enterprise use

• Complete system walkthrough

• Q&A and next steps

WHAT'S INCLUDED:

✅ 4-hour live workshop with hands-on building (not just theory)

✅ Complete workflow templates and code you can use immediately

✅ Access to recording for 30 days (review anytime)

✅ Private community access (Slack/Discord) for ongoing support

✅ Follow-up Q&A session (get your questions answered)

✅ Certificate of completion (add to LinkedIn profile)

✅ All n8n workflows and system messages (ready to deploy)

OUTCOME:

Leave with a working multi-agent system you can deploy immediately. Master the skills that command higher salaries in enterprise automation roles. Build systems that Fortune 500 companies use.

PREREQUISITES:

• Basic understanding of automation/workflows (n8n, Zapier, or similar)

• Familiarity with APIs and integrations

• Comfortable with technical concepts

• Willingness to build hands-on (we'll code together)

• Computer with internet connection

WHY THIS CLASS MATTERS:

Multi-agent AI systems are the future of enterprise automation. Companies are paying premium salaries ($150K-$250K) for engineers who can build these systems. This class teaches you exactly what you need to know, using real-world enterprise patterns from actual production systems.

Unlike generic AI courses, you'll learn:

• Real enterprise architecture patterns (not toy examples)

• Production deployment strategies (not just demos)

• Security and tool boundaries (critical for enterprise)

• Scalability and monitoring (required for production)

• Complete systems you can deploy today

TECHNOLOGIES COVERED:

• n8n (workflow automation platform)

• OpenAI GPT models (AI agents)

• Jira API integration (enterprise project management)

• GitHub API integration (code and repository management)

• REST APIs and webhooks

• Production deployment patterns

• Monitoring and observability tools