Polychor® AI-Engineer
Learn to build, configure, deploy and maintain the technical backend of autonomous enterprise AI systems, from multi-agent orchestration to cloud infrastructure.
- Hands-on labs and architecture projects
- Live virtual classroom
- Taught in English
Build the AI backend
Build, configure, deploy and maintain the technical backend of autonomous enterprise AI ecosystems.
Modern agent frameworks
Hands-on work with multi-agent orchestration, API integrations, vector databases and tools such as n8n, Relevance AI and Claude.
Workbook and online labs
The Polychor AI-Engineer learner workbook and an online learning environment with exercises and labs.
At a glance
About the course
The 5-day Polychor® AI-Engineer course is an intensive, technically focused programme that equips specialists to build, configure, deploy and maintain the technical backend of autonomous enterprise AI ecosystems. You gain hands-on expertise in multi-agent orchestration, custom API integrations, cloud infrastructure, vector databases and real-time execution pipelines, using frameworks such as n8n, Relevance AI and Claude.
You learn how to connect complex LLM systems with enterprise data pipelines and scalable infrastructure, with the architectural patterns, low-code and code execution engines and technical skills needed for resilient, production-ready agent systems. Technical instruction is combined with hands-on labs and real-world system architecture design projects.
What will you learn?
Multi-agent architecture
Create architectures and multi-agent frameworks, with hierarchical and networked agent models in supervisor-worker patterns.
MCP and execution engines
Work with the Model Context Protocol (MCP) and low-code and code execution engines.
Integrations and APIs
Manage integrations and APIs, and connect CRM systems.
Outreach and research tools
Connect outreach software such as Instantly and HeyReach, and real-time research endpoints such as Perplexity.
Voice agents
Use voice agents such as Vapi through webhooks and custom REST interfaces.
Autonomous engineering workflows
Use CLI tools such as Claude Code with local repositories to automate feature implementation, code maintenance and testing loops.
Cloud infrastructure
Deploy cloud-based proxy networks and maintain the backend infrastructure.
RAG, caching and stability
Manage RAG knowledge bases, optimise prompt caching and keep agent systems stable under heavy load.
Who should attend
This course is for technical specialists who build enterprise AI infrastructure:
- Systems architects
- Backend developers
- Automation engineers
- Technical leads responsible for building enterprise AI infrastructure
Prerequisites
Basic knowledge of HTTP APIs, webhooks, JSON structures and scripting concepts (Python, JavaScript or CLI environments).
What is included
Learner workbook
The Polychor AI-Engineer learner workbook.
Online learning environment
The Polychor online learning environment, with exercises and labs.
Labs and design projects
Instructor-led technical labs, hands-on integration exercises and real-world system architecture design projects.
Booking for a group?
Prices are shown without VAT; VAT may be added depending on your location. After your booking we contact you with the final price. You can also buy course vouchers in advance and use them for any future course. Do you have a group of at least three participants? Ask us for a group discount.
Your trainer
Ruslan Golomovzy is your trainer for this course.
Language
This course is given in English with English courseware.
Ready to start with Polychor® AI-Engineer?
Reserve your place in the booking form below.