Governance, Security & Deployment
Take systems to production responsibly. Learn to observe and trace agents, defend against the security risks unique to LLMs, add guardrails, evaluate quality rigorously, and deploy on managed agent platforms.
What you will be able to do
- Instrument agents with tracing and observability
- Defend against prompt injection, PII leakage, hallucination, and bias
- Add guardrails and a real evaluation harness
- Deploy on managed platforms: n8n, Microsoft Foundry, AWS AgentCore
Observability & Tracing
IntermediateYou cannot improve what you cannot see. Tracing every prompt, tool call, token, and cost is the first thing to add before an LLM app goes live.
40 min3 resources · 1 videoPrompt Injection, PII, Hallucination & Bias
IntermediateLLM apps have a new attack surface. Learn the dominant threats, why prompt injection has no clean fix, and how to limit blast radius.
50 min4 resources · 1 videoGuardrails
AdvancedGuardrails enforce what an LLM is allowed to say and do: blocking unsafe topics, validating output structure, and keeping agents on-policy.
40 min3 resources · 1 videoEvaluation
AdvancedVibes do not scale. Build a repeatable eval harness measuring correctness, hallucination, latency, and tool-use success so you can ship changes with confidence.
50 min3 resources · 1 videoResponsible AI & Governance
BeginnerBeyond code: the frameworks and practices that keep AI fair, transparent, and accountable, and increasingly, compliant with regulation.
30 min2 resources · 1 videoManaged Agents: n8n
Beginnern8n is a workflow automation tool with first-class AI agent nodes, a fast way to ship useful agents with little code and many built-in integrations.
40 min2 resources · 1 videoManaged Agents: Microsoft Foundry
IntermediateAzure AI Foundry Agent Service is Microsoft's managed platform for building, deploying, and governing enterprise agents with built-in tools and security.
45 min2 resources · 1 videoManaged Agents: AWS AgentCore
AdvancedAmazon Bedrock AgentCore provides managed infrastructure to deploy and operate agents securely at scale, with runtime, memory, identity, and tools.
45 min2 resources · 1 video
Put it to work
Apply what you learned by building real projects.
Test your thinking
Challenge yourself with scenario-based questions. Need 80% to mark complete.

