Harness Engineering & Agent Orchestration

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ABOUT THE COURSE:

The Course on Designing, Coordinating, and Operating AI Agents assists developers in mastering the key principles of creating reliable and scalable intelligent systems. The focus is on engineering practices and infrastructure components that ensure the stable operation of agent solutions in corporate and production environments.

The program is structured around modern approaches to creating AI agents that require memory, tools, execution control, and observability mechanisms. The key concept of the course is Agent Harness: an intermediary layer that provides agents with stable operations and secure integration with external systems.

Main Areas of Study

Architectures of AI applications and multi-agent systems

Management of memory, context, and state of agents

Durable Execution for long-term processes

Safe code execution in isolated environments

Organization of interaction and coordination of multiple agents

Practical Part

Each module is accompanied by real examples using TypeScript and Node.js, demonstrating the development, testing, and operation of intelligent systems. Participants will learn techniques for building fault-tolerant processes, automatic recovery, and management of tools within the agent environment.

Key Practices

Error handling and failure recovery

Organization of secure tool calls

Embedding humans in the decision-making loop (Human-in-the-Loop)

Modeling interaction of specialized agents

Who the Course Is For

The course is designed for specialists who want to design and implement modern corporate-level AI systems.

Recommended Level of Preparation

Confident proficiency in TypeScript and Node.js

Understanding of LLM API principles

Basic knowledge of agent cycle architecture

Experience in asynchronous programming and integration of external services

Especially Beneficial For

Full-stack developers

Engineers creating AI solutions

Technical leaders and architects

Learning Outcomes

After completing the course, participants will be able to design complex multi-agent systems, manage interactions between different types of agents, and implement proven engineering approaches to develop reliable AI applications.