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

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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
Rubric Grading for Open Ended Output

Rubric Grading for Open Ended Output

Design rubrics that make grading emails, summaries and explanations consistent, fair and repeatable.IntermediateEvaluation and testing4.3(3)49 lessonsSample
Gonzalo Ibarra$6
Moderation, Refusals and Safe Responses

Moderation, Refusals and Safe Responses

Design how your LLM app handles harmful requests, refusals and sensitive topics, without blocking normal users.All levelsBuilding with LLM APIs4.3(3)49 lessonsSample
Greta Lindqvist$5
Code Review Workflows for Teams Using AI

Code Review Workflows for Teams Using AI

Adapt your team's code review to a world of larger, faster, AI assisted pull requestsIntermediateAI coding assistants4.5(2)46 lessonsSample
Ilse Vermeulen$8
Becoming an LLM Application Engineer

Becoming an LLM Application Engineer

Learn what LLM application engineers do and build the skills and evidence to move into the roleIntermediateAI careers4.7(3)45 lessonsSample
Yohannes Tesfaye$8
Python Refresher for Returning Coders

Python Refresher for Returning Coders

Catch up on modern Python quickly if you coded years ago or come from another language.All levelsPython for AI4.0(3)44 lessonsSample
Efua Mensah$4
Reliable Document Summarisation Pipelines

Reliable Document Summarisation Pipelines

Build summarisation that handles long documents, keeps facts straight and can be checked against the source.IntermediateBuilding with LLM APIs4.3(3)44 lessonsSample
Greta Lindqvist$7
Tests First with a Coding Assistant

Tests First with a Coding Assistant

Write the tests yourself, let the assistant make them pass, and keep the specification in your handsIntermediateAI coding assistants4.5(2)44 lessonsSample
Ilse Vermeulen$8
Customer Support Agents That Know Their Limits

Customer Support Agents That Know Their Limits

Design a support agent that answers well, admits uncertainty and hands off to people at the right momentIntermediateAI agents4.7(3)43 lessonsSample
Jamal Haddad$8
Agent Cost and Latency Control

Agent Cost and Latency Control

Find where your agent spends money and time, then cut both without losing qualityIntermediateAI agents4.0(3)43 lessonsSample
Hiroshi Tanabe$8
Streaming Responses to Your Interface

Streaming Responses to Your Interface

Stream model output token by token from the API through your backend to the browser, errors included.IntermediateBuilding with LLM APIs4.5(2)43 lessonsSample
Gabriela Sousa$6
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