The 5-day virtual instructor lead Polychor AI-Engineer course is an intensive, technically focused training course designed to equip specialists with the skills needed to build, configure, deploy, and maintain the underlying technical backend of autonomous enterprise AI ecosystems. This course provides hands-on expertise in multi-agent orchestration, custom API integrations, cloud infrastructure, vector databases, and real-time execution pipelines using modern frameworks like n8n, Relevance AI, and Claude.
What you will learn
- Creating architecture & multi-agent frameworks
- Designing hierarchical and networked agent models using supervisor-worker patterns
- Model Context Protocol (MCP), and low-code/code execution engines.
- Integrations & API management
- Connecting CRM systems
- Outreach software (Instantly, HeyReach)
- Real-time research endpoints (Perplexity)
- Using voice agents (Vapi) through webhooks and custom REST interfaces.
- Creating autonomous engineering workflows
- Utilizing CLI development tools like Claude Code alongside local repositories to automate feature implementation
- Code maintenance, and automated testing loops
- Creating backend maintenance & infrastructure
- Deploying cloud-based proxy networks
- Managing RAG knowledge bases
- Optimizing prompt caching
- Maintaining agent system stability under heavy operational loads.
Training materials
- Polychor AI-Engineer Learner Workbook
- Polychor online learning environment with exercises and labs
Target Audience
This course is suitable for Systems architects, backend developers, automation engineers, and technical leads responsible for building enterprise AI infrastructure.
Prerequisites
Basic knowledge of HTTP APIs, webhooks, JSON structures, and scripting concepts (Python/JavaScript/CLI environments).
Delivery Format
Instructor-led technical labs, hands-on integration exercises, and real-world system architecture design projects.
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Course language
- This course is given in English with English courseware.