AI Agents & Automation Engineering
Architect agents that survive contact with production.
In development. Leave your email and we will notify you when it opens.
- Certificate of Completion
- Self-paced, online
- Professional technology education
Agents are easy to demo and hard to operate. This program teaches the engineering discipline behind agents that work in production: architecture, tool boundaries, retrieval quality, orchestration, permissions and human-in-the-loop design.
You will work with real architecture patterns and finish with a functioning agent architecture for a business workflow.
- Design agent architectures with clear boundaries
- Connect agents to tools, APIs and knowledge retrieval
- Implement orchestration, permissions and guardrails
- Engineer evaluations and error handling
- Ship an agent architecture with production considerations
Practical project — a functioning agent architecture for a business workflow.
AI Agents & Automation Engineering — Certificate of Completion
Credential ID format: ARV-A-YYYY-NNNN
Program outline.
Module structure is published openly. Lesson content is produced to Arvanord's engineering documentation standard.
01Agent architecture
- Agent patterns and when to use them
- Single-agent vs. multi-agent systems
- Tools, APIs and action boundaries
- System instructions and structured data
02Knowledge & retrieval
- RAG architecture
- Retrieval quality and chunking
- Knowledge maintenance
- Grounding and citations
03Orchestration
- Workflow orchestration
- State, retries and idempotency
- Permissions and data boundaries
- Human-in-the-loop design
04Reliability
- Guardrails
- Error handling and fallbacks
- Evaluations and test sets
- Production considerations
05Practical project
- Design a functioning agent architecture
- For a real business workflow
- Review and feedback
- Certificate issuance
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