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5 courses matching “observability”

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Abstract cover artwork for Building Production Agents with LangGraph, a Agentic AI course Agentic AI
Agentic AI intermediate

Building Production Agents with LangGraph

Design agents as explicit state machines instead of prompt spaghetti. You will build a typed graph with conditional edges, add checkpointing so runs are replayable, implement retry and refinement loops, and ship an agent that degrades gracefully when a model call fails. Ends with a production deployment that handles concurrency, idempotency and observability.

PR Priya Raghavan 4.9

$89.00

14 hours

Abstract cover artwork for Observability: Logs, Metrics and Traces, a DevOps course DevOps
DevOps intermediate

Observability: Logs, Metrics and Traces

Instrument a distributed system so incidents are short. Structured logging, metric cardinality discipline, OpenTelemetry tracing across service boundaries, SLOs and error budgets, and alerts that page a human only when a human is needed.

AR Ahmed Rahal 4.7

$79.00

12 hours

Abstract cover artwork for Kubernetes for Application Teams, a DevOps course DevOps
DevOps advanced

Kubernetes for Application Teams

Enough Kubernetes to run a service well, without becoming a full-time platform engineer. Deployments and rollout strategies, resource requests and limits that prevent noisy neighbours, probes, autoscaling, secrets, Helm packaging, and debugging a pod that will not start.

KM Kwame Mensah 4.6

$119.00

21 hours

Abstract cover artwork for LLM Observability with LangSmith, a Agentic AI course Agentic AI
Agentic AI intermediate

LLM Observability with LangSmith

You cannot debug what you cannot see. Instrument agent runs with distributed tracing, attach custom metadata and tags so runs are filterable, build evaluation datasets from production traffic, and set up regression tests that catch quality drops before users do. Includes selective tracing so your traces stay signal, not noise.

MA Marta Alves 4.6

$59.00

6 hours

Abstract cover artwork for Serverless Patterns and Anti-Patterns, a Cloud course Cloud
Cloud intermediate

Serverless Patterns and Anti-Patterns

Where functions-as-a-service genuinely wins and where it quietly costs you more than a small server. Event-driven composition, cold-start mitigation, idempotent handlers, queue-based load levelling, and the observability gaps you have to close yourself.

SD Sofia Duarte 4.3

$69.00

10 hours