AI educator

Shreya Shankar

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.

Courses and tutorials

Course

AI Evals for Engineers and PMs

Intermediate

Use this when you want Shreya Shankar's material for evals and related AI skills.

Skills

Learner questions

Who should learn from Shreya Shankar?

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.

What should I do first?

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.

What problem does this help with?

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.

How do I compare this with other educators?

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.

More related resources

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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.
Promptfoo OpenAI / Promptfoo	Open-source eval and red-team framework	Intermediate to advanced	Declarative regression tests and side-by-side comparisons of prompts, models, RAG systems, and agent configurations, especially when red teaming is also required.
DeepEval Confident AI	Pytest-style LLM evaluation framework	Intermediate to advanced	Engineering teams that want LLM and agent evaluations to behave like software unit tests, with thresholds, assertions, and CI-friendly failures.
Ragas Vibrant Labs	RAG and AI-application evaluation library	Intermediate to advanced	Evaluating retrieval quality, grounded generation, agent tool use, and production-aligned test data for RAG applications.
Inspect AI UK AI Security Institute	Model and agent evaluation harness	Intermediate to advanced	Rigorous, reproducible model and agent capability or safety evaluations involving tools, multi-turn interaction, coding, or sandboxed environments.
Arize Phoenix Arize AI	AI observability and evaluation platform	Intermediate to advanced	Teams that want evaluation connected to OpenTelemetry traces, datasets, experiments, prompt iterations, and production troubleshooting.
OpenEvals LangChain	Reusable evaluator library	Intermediate to advanced	Python or TypeScript developers who want composable evaluator functions without adopting a full evaluation platform.