Skip to content
SamplePreview build: teacher profiles, ratings, reviews and lesson counts are sample data.

Find a tutor

657 tutors in 31 topics, built by 75 teachers. Each one follows a lesson plan its teacher wrote.

Filters

Clear

294 tutors

Designing Tools an Agent Can Actually Use

Designing Tools an Agent Can Actually Use

Write tool names, descriptions, inputs and error messages that make agents choose and call tools correctlyIntermediateAI agents4.7(3)52 lessonsSample
Hiroshi Tanabe$7
Differentiation and Scaffolding with AI

Differentiation and Scaffolding with AI

Make one lesson reachable for every pupil without lowering the goal for anyoneIntermediateAI for education4.5(2)52 lessonsSample
Uma Raghavan$6
Cost and Latency Budgets for LLM Features

Cost and Latency Budgets for LLM Features

Set cost and speed targets for an LLM feature, measure them honestly and trade them against quality.All levelsBuilding with LLM APIs4.5(2)52 lessonsSample
Farid Haddad$8
Research Agents: Search, Read, Cite

Research Agents: Search, Read, Cite

Build or steer research agents that gather sources, weigh them honestly and cite every claimIntermediateAI agents4.5(2)51 lessonsSample
Jamal Haddad$7
Language Learning With an AI Conversation Partner

Language Learning With an AI Conversation Partner

Practise speaking and writing a new language at your level, with corrections that teach you something.All levelsAI for research and study4.3(3)51 lessonsSample
Chidi Nwosu$5
Sequencing an AI Roadmap Over a Year

Sequencing an AI Roadmap Over a Year

Order AI projects so early ones build the skills, data and trust that later ones needAll levelsAI for business4.3(3)51 lessonsSample
Sofia Brandt$6
Incident response for ML systems

Incident response for ML systems

Detect, contain and learn from ML failures, from silent quality drops to harmful outputsAll levelsMLOps and deployment4.7(3)51 lessonsSample
Malik Brennan$7
Summaries You Can Trust

Summaries You Can Trust

Learn how AI summaries go wrong and how to check one in a few minutes before you rely on it.IntermediateAI for research and study4.0(3)51 lessonsSample
Chloe Adeyemi$6
GANs: generator versus discriminator

GANs: generator versus discriminator

Understand how adversarial training works, why it is unstable and where GANs still make senseIntermediateDeep learning4.0(3)50 lessonsSample
Mateo Rojas$8
Fairness Checks for ML Models

Fairness Checks for ML Models

Measure how a model treats different groups and understand the trade offs between fairness metricsIntermediateMachine learning4.7(3)50 lessonsSample
Kojo Amankwah$7
AI Practice and Quizzes for Corporate Trainers

AI Practice and Quizzes for Corporate Trainers

Create scenario questions, practice drills and spaced follow ups that help training stick on the jobIntermediateAI for education4.5(2)50 lessonsSample
Valentin Moreau$6
Game Concept Art with AI

Game Concept Art with AI

Explore characters, environments and props for games while knowing what production needsIntermediateAI for design4.3(3)50 lessonsSample
Pilar Restrepo$7