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Evaluation and testing Clear all

Tariq Haddad

Risk, vendors, data and support: the unglamorous work that makes AI safe to rely onvendor trials, data readiness, AI risk and compliance basics9 tutors4.4(21)Sample

Neha Varadan

Fine tuning with judgment: when to do it, how to do it well, and how to know it workedfine tuning strategy, dataset preparation, LoRA and parameter efficient methods9 tutors4.6(21)Sample

Valentin Moreau

Lecturer and learning designer for universities, workplace training and coaching practicesHigher education teaching, assessment design, instructional design9 tutors4.6(20)Sample

Sanjana Rao

Product management for AI features: deciding, specifying, testing and pricing them wellAI product management, product requirements, UX of AI features9 tutors4.5(19)Sample

Felix Brandt

Numerical Python and code quality for data and AI projects that have outgrown a single notebookNumPy, pandas, plotting9 tutors4.5(18)Sample

Farid Haddad

Keeps LLM features fast, affordable and available as traffic grows: cost, caching, retries and observabilitytoken counting, cost control, prompt caching9 tutors4.5(19)Sample

Mateo Rojas

Generative models and representation learning, explained with intuition first and maths secondtransfer learning, autoencoders, GANs9 tutors4.6(20)Sample

Malik Brennan

MLOps without the ceremony: tracking, versioning, monitoring and responsible deploymentexperiment tracking, model and data versioning, model APIs9 tutors4.5(18)Sample

Greta Lindqvist

Structured output, tool calling and safe input handling for LLM applications that must behave predictablystructured output and JSON schemas, tool and function calling, image and document input9 tutors4.5(18)Sample

Gonzalo Ibarra

Evaluation for LLM products: eval sets, graders, regression tests, hallucination checks and live experimentseval set design, golden answers, rubric grading9 tutors4.5(17)Sample

Fumiko Arai

Takes retrieval systems from demo to dependable: parsing, citations, freshness, retrieval evaluation and debuggingdocument parsing, citations and grounding, index freshness9 tutors4.6(14)Sample

Yohannes Tesfaye

Machine learning engineer who runs portfolio reviews and mock interviews for technical AI rolesML engineering interviews, data science interviews, AI product manager interviews9 tutors4.5(17)Sample