The Data Science Course: Complete Data Science Bootcamp 2026
★ 4.6 rated · $10.99
Master enterprise AI monitoring with tracing, evaluations, cost control, and security compliance using Datadog Platform
$14.99 with coupon (list $199.99 — save $185.00, 93% off)
Coupon Verified: March 30, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Datadog LLM Observability: Monitor & Trace AI in Production on Udemy is $199.99. With the coupon code on this page, that falls to $14.99 — a saving of $185.00, or 93% off the standard rate Spread across 4h of on-demand video, that works out to roughly $3.75 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Paolo Dichone walks you through instrument LLM applications with Datadog's ddtrace SDK for full visibility into prompts, completions, and token usage, trace complex AI agent workflows including multi-turn conversations, tool calls, and decision paths with enterprise-grade debugging, and implement production evaluations using managed checks (toxicity, relevancy) and custom LLM-as-a-judge evaluators — skills meant to be used, not just watched. It has already been taken by 15 students and holds a 4.8-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Basic Python programming experience (intermediate level); Familiarity with LLM APIs (OpenAI, Anthropic, or similar). Best suited to learners who already have footing in Development. Plan for roughly 4h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Datadog LLM Observability: Monitor & Trace AI in Production — taken from the official Udemy syllabus for Development learners.
Instrument LLM applications with Datadog's ddtrace SDK for full visibility into prompts, completions, and token usage.
Trace complex AI agent workflows including multi-turn conversations, tool calls, and decision paths with enterprise-grade debugging.
Implement production evaluations using managed checks (toxicity, relevancy) and custom LLM-as-a-judge evaluators.
Monitor and optimize LLM costs with automated cost tracking, budget alerts, and model comparison dashboards.
Run experiments to test prompt and model changes before production deployment using Datadog's experimentation framework.
Build secure AI systems with PII scrubbing, compliance patterns, and security monitoring for enterprise requirements.
Instrument RAG pipelines with custom spans for embedding, retrieval, and generation steps for complete workflow visibility.
Integrate LLM observability with existing Datadog APM, infrastructure, and security tools for unified enterprise monitoring.
What you need before enrolling in Datadog LLM Observability: Monitor & Trace AI in Production — prerequisites as listed by the instructor on Udemy.
Basic Python programming experience (intermediate level)
Familiarity with LLM APIs (OpenAI, Anthropic, or similar)
Datadog account (free trial available) or ability to create one
Basic understanding of LLM concepts (prompts, tokens, completions)
Optional: Experience with LangChain or similar LLM frameworks
The full official description of Datadog LLM Observability: Monitor & Trace AI in Production — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on March 30, 2026.
★ 4.6 rated · $10.99
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