AI Skillset Course
Foundation: Introduction to Agent Observability & Evaluations image
Current
Beginner

Foundation: Introduction to Agent Observability & Evaluations

LangChain Academy · LangChain Academy · Updated March 2026

Platform rating

4.4/5

AI Tutor Rating

8.1/10

Duration

3.5 hours of video

Classes

43

Course focused on tracing, testing, evaluation, prompt engineering, feedback loops, and production observability for agents.

What you'll get

Instrument agent traces during development
Run agent evaluations and quality checks
Use prompt engineering iteration loops
Monitor production agent reliability

Fit

Best for

Leaders
Analysts
Researchers
Decision-makers

Not ideal for

Experts seeking deep specialization

Prerequisites & pricing

Prerequisites

Basic agent development familiarity

Pricing

Free

Certification

No

Growth Leverage: Completing this course enables professionals to pursue roles such as AI Quality Engineer or Agent Performance Analyst, focusing on agent efficacy and production monitoring. It opens opportunities for specialized positions within tech companies or research labs that emphasize advanced agent development practices.
Skills Value: Employers seek candidates skilled in agent observability and evaluation to enhance product reliability, with roles commanding salary premiums of 10-20% due to high demand. Professionals can tackle challenges in agent testing and debugging, crucial for companies investing in AI-driven solutions.
LangSmith
Agent Observability
Evaluation
Prompt Engineering
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