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

LLM APIs Explained for Product Teams

LLM APIs Explained for Product Teams

Understand what your engineers mean by tokens, context, latency and rate limits, and ask better questions.All levelsBuilding with LLM APIs4.7(3)43 lessonsSample
Gabriela Sousa$4
Measuring Hallucination in LLM Apps

Measuring Hallucination in LLM Apps

Measure how often your app states unsupported things, with claim level checks you can repeat and trust.IntermediateEvaluation and testing4.5(2)42 lessonsSample
Gonzalo Ibarra$8
Regression Testing Your Prompts

Regression Testing Your Prompts

Catch quality drops before users do by running an eval suite on every prompt, model or setting change.IntermediateEvaluation and testing4.5(2)42 lessonsSample
Gonzalo Ibarra$7
Drafting Patient Communication with AI

Drafting Patient Communication with AI

Write clearer patient letters, leaflets and messages with AI help, checked for accuracy and toneIntermediateAI for professionals4.5(2)42 lessonsSample
Xavier Lindgren$7
AI for Lab Researchers

AI for Lab Researchers

Use AI for literature, protocols, analysis code and notes in the lab without compromising rigourIntermediateAI for professionals4.5(2)42 lessonsSample
Xavier Lindgren$8
Prompt Templates for Repeatable Work

Prompt Templates for Repeatable Work

Turn your best one-off prompts into templates you and your team can reuse with consistent results.IntermediateChatGPT and Claude at work4.5(2)42 lessonsSample
Darius Feld$6
AI Assistants for Managers: Feedback, One to Ones, Planning

AI Assistants for Managers: Feedback, One to Ones, Planning

Use AI to prepare conversations and plans as a manager, while keeping people decisions human and fair.IntermediateChatGPT and Claude at work4.5(2)41 lessonsSample
Diego Ramos Ortega$7
How to read a deep learning paper

How to read a deep learning paper

Read papers in passes, find the real claim and judge the evidence behind itAll levelsAI for research and study4.7(3)41 lessonsSample
Nikolai Sorin$6
Chunking Documents for Retrieval

Chunking Documents for Retrieval

Split documents into retrievable chunks that keep their meaning, then tune chunk size with real measurements.IntermediateRAG and search4.5(2)41 lessonsSample
Emeka Nwosu$6
Understanding Hard Subjects: Explanations and Self Checks

Understanding Hard Subjects: Explanations and Self Checks

Get to real understanding of difficult topics with multiple explanations, analogies and teach back checks.IntermediateAI for research and study4.5(2)40 lessonsSample
Chidi Nwosu$6
When Retrieval Is the Wrong Tool

When Retrieval Is the Wrong Tool

Decide when RAG fits a problem and when a database query, tool call, longer prompt or plain search fits better.All levelsRAG and search4.5(2)40 lessonsSample
Fumiko Arai$5
Image segmentation: semantic, instance, panoptic

Image segmentation: semantic, instance, panoptic

Label every pixel correctly: understand the three kinds of segmentation, their models and metricsIntermediateComputer vision4.3(3)40 lessonsSample
Noor Siddiqui$8