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Teachers

The 75 teachers behind every tutor. Each one wrote the lesson plans their tutors follow.

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75 teachers

Jamal Haddad

I help teams turn agent ideas into useful assistants for support, research and data workcustomer support agents, research agents, data analysis agents
9 tutors4.4(19)Sample

Bao Tran

I teach the big debates in AI, from alignment and safety testing to copyright, fairly and clearlyAI safety and ethics, alignment and risk debates, interpretability
9 tutors4.5(19)Sample

Hiroshi Tanabe

I teach how AI agents are built: the loop, the tools, the memory, and when a plain workflow is the better choiceagent architecture, tool calling loops, tool design
9 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 input
9 tutors4.5(18)Sample

Zoltan Varga

Translator, editor and digitisation hand teaching AI for words, archives, buildings and travelVerification and newsroom practice, editing, translation and post editing
9 tutors4.6(16)Sample

Gonzalo Ibarra

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

Ingrid Solberg

I teach people to make AI agents safe, observable and testable before they are trusted with real workagent guardrails, permissions and sandboxing, human approval design
9 tutors4.5(17)Sample

Joanna Kowalczyk

I teach people to learn programming with AI assistants while keeping their own skills and judgmentlearning programming with AI, learning new frameworks, deliberate practice
9 tutors4.5(15)Sample

Darius Feld

Prompt workflows for heavy users: chaining, standing instructions, long documents and reasoning modelsPrompt chaining, system prompts and custom instructions, reasoning models
9 tutors4.5(15)Sample

Fumiko Arai

Takes retrieval systems from demo to dependable: parsing, citations, freshness, retrieval evaluation and debuggingdocument parsing, citations and grounding, index freshness
9 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 interviews
9 tutors4.5(17)Sample

Dhruv Mehta

CVs, applications, creative writing and English support, with AI as a helper rather than a ghostwriterCVs and cover letters, professional bios, application essays
9 tutors4.4(15)Sample