LLM AI Agent Evaluations and Observability with Galileo AI — 95% Off Coupon

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

⭐ 4.6 out of 5(517 students enrolled)Created by Henry Habib, and The Intelligent WorkerLast updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•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: August 1, 2026
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Software Development Tools
•Duration: 7h 30m of on-demand video
•Language: English
•Access: Lifetime access to all course lectures and updates
•Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
•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
•Price: $9.99 with coupon / Regular Udemy price: $199.99. Applying this coupon saves you $190.00 (95% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

This course gives you the following verified skills and competencies in Development:

✓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

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

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

About This Udemy Course

The following is the full official course description as published on Udemy by instructors Henry Habib, The Intelligent Worker. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$9.99$199.99-95%
$9.99$149.99-93%
Rating
4.6(517)
4.5(1.8k)
Duration7h 30m7h 30m
CouponDEALAU...AUGUST...
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Is the LLM AI Agent Evaluations and Observability with Galileo AI Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Aug 1, 2026

The short answer is yes — provided the Development skills this course teaches actually line up with what you want to build. The regular price for LLM AI Agent Evaluations and Observability with Galileo AI on Udemy is $199.99. The coupon code listed on this page drops that to $9.99 — a saving of $190.00, or 95% off the standard rate. Spread across 7h 30m of on-demand video, that works out to roughly $1.33 per hour of content — less than the cost of a single chapter of most printed development textbooks.

A discount is only worth something if the material delivers, and the curriculum here is built around practical outcomes. Henry Habib and The Intelligent Worker walk you through 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, and run repeatable Galileo AI experiments to compare models, prompts, and agent versions on consistent test sets — concrete skills you can apply, not abstract theory. It has already been taken by 517 students and holds a 4.6-star average from verified reviews, which is a reasonable sign the content holds up in practice.

The bar to entry is low: Basic Python knowledge; Basic AI Agent building knowledge. That makes it a realistic choice even if Development is unfamiliar territory. In practical terms, expect around 7h 30m of on-demand video to work through at your own pace. The material is presented in English.

Pros

  • ✓Verified 95% price reduction.
  • ✓High learner satisfaction (4.6/5).
  • ✓Trusted by 517 students.
  • ✓Certificate + lifetime access.

Cons

  • !The coupon is time-limited — once it expires, the price tends to revert toward the standard $199.99.
  • !Lifetime access is tied to Udemy staying online; the platform can change its policies.
  • !Budget for the exercises and quizzes too — they add real time on top of the 7h 30m of video.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"At roughly $1.33 an hour of video, LLM AI Agent Evaluations and Observability with Galileo AI is priced sensibly for what it actually covers — design an LLM observability plan: what to log, how to structure traces, and how to make failures diagnosable and beyond. If Development is on your roadmap and you value the 4.6-star track record, this coupon is worth using while it's still valid."

✓
Final Verdict: Worth It
Saves you $190.00 against the standard Udemy price
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified August 1, 2026.At $9.99 you save $190.00 compared to the standard $199.99 price, and Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.6 out of 5 based on 517 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.6
517 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: August 1, 2026.

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Instructor Profiles

Background information on Henry Habib, The Intelligent Worker, the instructors responsible for this course on Udemy.

HH
Henry Habib
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
517+ enrolled
Rating
4.6 / 5.0
Course Duration
7h 30m
Teaching Approach
Practical, project-based instruction built around real-world application of Development skills, with hands-on exercises and quizzes to reinforce each section.
TI
The Intelligent Worker
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
517+ enrolled
Rating
4.6 / 5.0
Course Duration
7h 30m
Teaching Approach
Practical, project-based instruction built around real-world application of Development skills, with hands-on exercises and quizzes to reinforce each section.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of August 1, 2026.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.

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