Course
AI Evals for Engineers and PMs
Intermediate
Use this when you want Shreya Shankar's material for evals and related AI skills.
AI educator
AI Evals for Engineers and PMs
Useful if you need to judge whether an AI feature is actually improving.
Start with: Review the course outcomes and pair it with a real feature you can evaluate.
Course
Intermediate
Use this when you want Shreya Shankar's material for evals and related AI skills.
Engineers, PMs, AI product teams should start here when they need evals, llm reliability, and product quality. The strongest fit is a learner who wants material in these formats: course, essays.
Review the course outcomes and pair it with a real feature you can evaluate. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Useful if you need to judge whether an AI feature is actually improving. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need evals, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
AI SDK v6 Crash Course
Matt Pocock
|
Workshop | Intermediate | You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns. |
|
The AI Engineer Roadmap
Matt Pocock
|
Free tutorial | Beginner to intermediate | You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps. |
|
LLM Evals
Hamel Husain
|
Guide | Intermediate | Your AI app needs quality checks before users see it. |
|
Evaluating AI Agents
DeepLearning.AI
|
Short course | Intermediate | You need to test, trace, and improve agent workflows instead of judging only single LLM responses. |
|
Building and Evaluating Advanced RAG Applications
DeepLearning.AI
|
Short course | Intermediate | You already know basic RAG and need better retrieval, evaluation, and production-quality patterns. |
|
AI Product Management Specialization
Duke University
|
Specialization | Beginner to intermediate | You want a structured product-management route for scoping, evaluating, and shipping AI products. |
|
OpenAI Working with evals
OpenAI
|
Guide | Intermediate | You need API-level guidance for testing outputs, comparing models, and catching regressions during upgrades. |
|
OpenAI Evaluate agent workflows
OpenAI
|
Guide | Intermediate | You need the current OpenAI path for tracing, grading, and regression-testing agent workflows instead of only single-prompt evals. |
|
OpenAI model optimization
OpenAI
|
Guide | Intermediate | You need a practical optimization loop across prompt changes, evals, and fine-tuning rather than guessing which knob to turn next. |
|
W&B LLM Evaluation Course
Weights & Biases
|
Free course | Intermediate | You need to debug and measure LLM app quality. |
|
Phoenix by Arize
Arize AI
|
Open source tool and docs | Intermediate | You need to trace, inspect, and evaluate LLM app behavior. |
|
Promptfoo Intro
Promptfoo
|
Open source docs | Intermediate | You need regression tests for prompts, models, and LLM outputs. |