Learning Lab Course
Review prototypeAI Agent Architecture and Implementation Course Overview
A self-paced course for evaluating agent scope, architecture, orchestration, governance, and production readiness before a build or vendor decision.
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0%AI Agents vs. Agentic AI
Clarify the system being proposed and the autonomy it will actually have.
Open module Module 2Why Agent Projects Underperform
Recognize why attractive agent demonstrations often fail in production.
Open module Module 3Architecture Patterns
Match the architecture pattern to the task instead of defaulting to unnecessary complexity.
Open module Module 4Evaluating Agent Frameworks
Compare framework categories against operating requirements.
Open module Module 5Designing Multi-Step Orchestration
Map how steps, tools, systems, and handoffs work together.
Open module Module 6Governance and Human-in-the-Loop Design
Define the checkpoints, guardrails, and escalation paths appropriate to the use case.
Open module Module 7Production Deployment
Evaluate security, observability, cost, and scale before production use.
Open module Module 8Matching Categories and Sourcing
Connect the workflow to a practical agent category and delivery approach.
Open module Module 9The Agent Architecture Brief
Turn the prior decisions into a concise, decision-ready architecture brief.
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