LLM AI Agent Evaluations and Observability with Galileo AI
Build Robust AI Agents | Monitor Production AI Agents | Build Custom Evals | Master Galileo AI | For Engineers
What you'll learn in 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
Udemy Coupon Requirements
- Basic Python knowledge
- Basic AI Agent building knowledge
- Can work with Jupyter Notebooks
- No prior observability experience needed
About This Udemy Coupon
- Observability: Log LLM interactions, track spans and metadata, visualize agent flows, monitor safety and compliance signals
- Evaluations: Design experiments, create evaluation datasets, define and register metrics, use LLMs-as-judges, version and compare results
- Introduction - We start by explaining why LLM evaluations and observability matter, covering the risks of deploying generative AI without structured monitoring, setting expectations, and reviewing the course roadmap.
- Theory: LLM/Agent Observability - This section introduces traditional monitoring concepts, explains why they fall short for generative systems, and outlines the key components of LLM observability.
- Theory: LLM / Agent Evaluations - You’ll explore evaluation theory, understand why evaluations are critical for production AI, learn the main evaluation approaches, and see the common challenges teams face with LLMs.
- Theory: Observability and Evaluations for LLMs vs Traditional ML - We contrast generative AI with classical machine learning, highlighting the unique risks, costs, and iteration loops.
- Theory: Tools and Approaches for LLM Observability and Evaluations - This section surveys the landscape of observability and evaluation tools available for LLM systems and explains why dedicated platforms are necessary.
- Practice: Galileo Platform Deep-Dive Overview and Setup - This section walks you through Galileo’s architecture, integrations, pricing, account creation, repository cloning, and local development setup to prepare you for instrumentation.
- Practice: Logging LLM Interactions with Galileo - You’ll learn practical logging with Galileo, including terminology, manual and SDK-based methods, simulating LLM applications, inspecting agent graphs, detecting errors, and setting up alerts and signals.
- Practice: Evaluating LLM Performance with Galileo - We shift from observation to evaluation, showing how to design experiments, manage datasets and metadata, implement evaluation code, define metrics, and perform agent-specific and LLM-as-judge assessments.
- Conclusion: Earn your certificate
⚡ Limited Time Offer
Coupon valid until end of February 2026
Don't miss out — grab this Development course before the coupon expires.
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$109.00
91% OFF original price
What is LLM AI Agent Evaluations and Observability with Galileo AI?
LLM AI Agent Evaluations and Observability with Galileo AI is a 7h 30m online course on Udemy taught by Henry Habib, The Intelligent Worker. It covers Software Development Tools and is designed for learners who want to design an llm observability plan: what to log, how to structure traces, and how to make failures diagnosable . With 5 students enrolled and a 5 star rating, it is one of the top-rated courses in Software Development Tools on Udemy. Use the coupon above to access it at 91% OFF ($10.99).
About the Instructor
Henry Habib, The Intelligent Worker
Udemy Instructor · Development Expert
Henry Habib, The Intelligent Worker is an expert instructor on Udemy specializing in Development. Their course "LLM AI Agent Evaluations and Observability with Galileo AI" has helped 5 students master Software Development Tools with a 5 star rating.
Course Information
Platform
Udemy
Instructor
Henry Habib, The Intelligent Worker
Duration
7h 30m
Language
English
Category
Development · Software Development Tools
Rating
Price
Last Updated
February 2026
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Frequently Asked Questions
Is there a discount for LLM AI Agent Evaluations and Observability with Galileo AI?
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How long is LLM AI Agent Evaluations and Observability with Galileo AI?
LLM AI Agent Evaluations and Observability with Galileo AI is approximately 7h 30m long. Udemy gives you lifetime access so you can learn at your own pace and revisit content anytime.
What will I learn in LLM AI Agent Evaluations and Observability with Galileo AI?
In LLM AI Agent Evaluations and Observability with Galileo AI by Henry Habib, The Intelligent Worker, you will learn: 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 . The course covers Software Development Tools with 7h 30m of hands-on content.
What is LLM AI Agent Evaluations and Observability with Galileo AI?
LLM AI Agent Evaluations and Observability with Galileo AI is a 7h 30m online course on Udemy taught by Henry Habib, The Intelligent Worker. It covers Development with a 5 star rating from 5 enrolled students. Use our verified coupon to access it at $10.99 (91% OFF).