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Here's what you'll learn
Concrete skills — copy-ready code, not theory.
Build AI agents that actually work in production — not toy demos
Implement planning loops and the ReAct pattern for multi-step reasoning
Orchestrate tools across complex workflows with error recovery
Design human-in-the-loop checkpoints that prevent costly mistakes
Evaluate agent quality with measurable metrics
Control costs with token budgets and intelligent caching strategies
Verifiable certificate
Lifetime access + updates
About This Course
Most AI agent tutorials build demos that break in production. This course teaches production agent patterns — planning loops, tool orchestration, error recovery, human-in-the-loop checkpoints, and the architecture that makes agents reliable. Based on real agent systems running in production.
Syllabus
7 lessons · 7 lessons · cert test
1
Agent vs Chatbot — The Architecture Differencelesson 1 · Advanced
preview2
Planning Loops & ReAct Patternlesson 2 · Advanced
preview3
Tool Orchestration — Multi-Step Workflowslesson 3 · Advanced
4
Error Recovery & Graceful Degradationlesson 4 · Advanced
5
Human-in-the-Loop Checkpointslesson 5 · Advanced
6
Memory — Short-term, Long-term, Episodiclesson 6 · Advanced
7
Evaluation & Cost Control — Metrics, Budgets & Cachinglesson 7 · Advanced
What's Included
Agent architecture templates
Tool orchestration framework
Evaluation harness
Cost monitoring dashboard
Your instructor
Marc Friborg Bersang
Founder & CTO at CoreMind Systems. Over ten years of hands-on experience — from security systems in critical infrastructure to a full-stack SaaS in production. Every course is based on systems he built and deployed himself.
Continue the journey
Other courses that build on this one.
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One-time purchase · lifetime access · verifiable certificate.