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

4.7 out of 5(433 students enrolled)Created by Henry Habib, 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: July 3, 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 instructor 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
4.7(433)
4.9(1k)
Duration7h 30m7h 30m
CouponDEALJU...JULY20...
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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 Jul 3, 2026

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, this is a high-value resource for learners seeking to build skills in Development. Taught by Henry Habib, The Intelligent Worker on Udemy, the 7h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 95%, from $199.99 to $9.99, removing the primary financial barrier to enrollment.

Pros

  • Verified 95% price reduction.
  • High learner satisfaction (4.7/5).
  • Trusted by 433 students.
  • Certificate + lifetime access.

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"Given the 95% price reduction and verified 4.7-star rating, LLM AI Agent Evaluations and Observability with Galileo AI is a strong value in Development on Udemy. Enrollment recommended while the coupon is active."

Final Verdict: Worth It
Exceptional value with current pricing
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified July 3, 2026.Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.7 out of 5 based on 433 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.7
433 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: July 3, 2026.

Instructor Profile

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

HH
Henry Habib, The Intelligent Worker
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
433+ enrolled
Rating
4.7 / 5.0
Course Duration
7h 30m
Teaching Approach
Practical, project-based instruction focused on real-world application of Development skills. This course provides structured progression from foundational concepts to advanced techniques.

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 July 3, 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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