- 1Day
- AdvancedLevel
- 4Complex Projects
Course Overview
Deep dive into sophisticated agent architectures, autonomous systems, and multi-agent coordination for production-grade applications. This advanced course takes you beyond basic agents into complex multi-agent systems, advanced reasoning, and production deployment at scale.
Experienced developers, AI engineers, and researchers who have built basic agents and want to master advanced architectures and production-grade multi-agent systems.
Strong programming skills, prior experience building AI agents, understanding of async programming and distributed systems. Completion of Coding Agents course or equivalent experience required.
Advanced Curriculum
13 advanced topics for production-grade multi-agent systems
- 01
Advanced Agent Architectures
Master BDI (Belief-Desire-Intention), SOAR, and ACT-R architectures. Understand cognitive architectures and when to apply each approach.
- 02
Multi-Agent Coordination and Collaboration
Design systems where multiple agents work together. Learn coordination protocols, task allocation, and collaborative problem-solving.
- 03
Communication Protocols and Message Passing
Implement communication between agents that survives failure. Master message queues, pub/sub patterns, and protocol design.
- 04
Agent Hierarchies and Organizational Structures
Build hierarchical agent systems with managers, workers, and specialists. Understand organizational patterns for agent teams.
- 05
Specialized Agent Types
Learn to build reactive, deliberative, and hybrid agents. Understand when each type is appropriate and how to combine them.
- 06
Custom Tool and Function Creation
Design and implement sophisticated tools for agents. Handle complex APIs, error recovery, and tool composition.
- 07
Long-term Memory and Knowledge Management
Build persistent memory systems. Implement knowledge graphs, episodic memory, and semantic memory for agents.
- 08
Continuous Learning and Adaptation
Enable agents to learn from experience. Implement feedback loops, model updating, and adaptive behavior.
- 09
Orchestration Patterns and Workflows
Master complex workflow orchestration. Learn DAG execution, parallel processing, and dynamic workflow generation.
- 10
Advanced Error Handling and Recovery
Build resilient agents that handle failures gracefully. Implement retry logic, circuit breakers, and graceful degradation.
- 11
Security in Multi-Agent Systems
Secure multi-agent systems. Handle authentication, authorization, sandboxing, and prevent malicious behavior.
- 12
Performance Optimization and Scaling
Optimize agent systems for production scale. Learn caching, load balancing, and distributed agent deployment.
- 13
Comprehensive Evaluation Frameworks
Build evaluation systems for multi-agent applications. Measure collaboration effectiveness, task completion, and system reliability.
Mastery Outcomes
By the end of this course, you will be able to:
- Design and implement sophisticated multi-agent systems from scratch
- Implement advanced reasoning and planning algorithms for autonomous agents
- Build fully autonomous workflows that coordinate multiple agents
- Create custom tools and capabilities for specialized agent needs
- Optimize agent performance for production environments
- Deploy and monitor production-grade agent systems at scale
- Handle complex inter-agent coordination and communication
- Scale agent systems effectively and reliably
Build production-grade multi-agent systems
- 01Project 1: Multi-Agent Collaboration SystemBuild a system where multiple specialized agents collaborate to solve complex problems. Implement task delegation, coordination, and result synthesis.
- 02Project 2: Hierarchical Agent OrganizationCreate a hierarchical agent system with manager agents coordinating worker agents. Implement escalation, load balancing, and organizational patterns.
- 03Project 3: Autonomous Workflow SystemDesign an autonomous system that plans and executes complex workflows without human intervention. Handle dynamic replanning and error recovery.
- 04Final Project: Production Multi-Agent ApplicationBuild a complete production-ready multi-agent application for a complex domain. Include monitoring, scaling, security, and comprehensive evaluation.
What people ask before they enrol.
It assumes you have built agents already and hit the ceiling. Multi-agent coordination, hierarchies, and the failure modes that only show up under load are what this one covers.
Yes. Without that experience the problems this course solves do not look like problems yet, and the material is difficult for the wrong reason.
No, and knowing when to stop adding agents is part of the course. Most systems that need several agents would have been simpler as one, and the ones that genuinely need several fail in ways a single agent never does.
Yes: observability, cost control and the governance around a system that acts on its own. An agent nobody can watch is not in production, it is loose.
Bring us the problem nobody has cracked yet.
We are a small team of senior specialists. We pick the right model and the right layer, and we build the least machinery that does the job. You get a call with an engineer, not a sales deck.