LLM AI Agent Evaluations and Observability with Galileo AI — 91% Off Coupon

Build Robust AI Agents | Monitor Production AI Agents | Build Custom Evals | Master Galileo AI | For Engineers

5.0 5 students enrolledCreated by Henry Habib, The Intelligent WorkerLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: LLM AI Agent Evaluations and Observability with Galileo AI
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Henry Habib, The Intelligent Worker
•Coupon Verified On: February 21, 2026
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Software Development Tools
•Duration: 7h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Design an LLM observability plan: what to log, how to structure traces, and how to make failures diagnosable · Build evaluation datasets with realistic inputs, expected behavior, metadata, and slices for edge cases and regressions · Run repeatable Galileo AI experiments to compare models, prompts, and agent versions on consistent test sets
•Prerequisites: Basic Python knowledge · Basic AI Agent building knowledge
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓Design an LLM observability plan: what to log, how to structure traces, and how to make failures diagnosable .
✓Build evaluation datasets with realistic inputs, expected behavior, metadata, and slices for edge cases and regressions .
✓Run repeatable Galileo AI experiments to compare models, prompts, and agent versions on consistent test sets .
✓Implement custom eval metrics for generation quality, groundedness, safety, and tool correctness (beyond accuracy) .
✓Apply LLM-as-judge scoring with rubrics, constraints, and spot checks to reduce evaluator bias and drift .
✓Debug agent failures using traces to pinpoint breakdowns in retrieval, planning, tool use, or response synthesis .
✓Set up production monitoring in Galileo with signals, dashboards, and alerts for regressions and silent failures .
✓Use eval results to prioritize fixes, validate improvements, and prevent quality or safety regressions over time .
✓Choose observability and eval methods for single-call LLM apps vs. multi-step agents, and explain tradeoffs .
✓Instrument LLM apps and agents in Galileo to capture traces, spans, prompts, tool calls, and metadata for debugging .
✓Design an LLM observability plan: what to log, how to structure traces, and how to make failures diagnosable.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Basic Python knowledge
•Basic AI Agent building knowledge
•Can work with Jupyter Notebooks
•No prior observability experience needed

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Henry Habib, The Intelligent Worker. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Henry Habib, The Intelligent Worker
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the LLM AI Agent Evaluations and Observability with Galileo AI Coupon Worth It?

LLM AI Agent Evaluations and Observability with Galileo AI is a development course offered on Udemy by instructor Henry Habib, The Intelligent Worker, spanning 7h 30m of on-demand content. It holds a 5.0/5 rating from over 5 enrolled students.

Through CourseSpeak, you can access this course with a 91% discount coupon. The coupon was last verified on February 21, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (5.0/5) and enrollment numbers (5 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of February 2026. For individual student reviews, visit the course page directly.

5.0
5 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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