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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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Inbox Automation That Does Not Lose Emails

Inbox Automation That Does Not Lose Emails

Sort, label, summarise and route email automatically while every message stays findableBeginnerAI automation4.5(4)104 lessonsSample
Isabela Duarte$4
The Tool Calling Loop, Explained Step by Step

The Tool Calling Loop, Explained Step by Step

See exactly what happens, message by message, when a model calls a tool and gets the result backBeginnerAI agents4.5(4)83 lessonsSample
Hiroshi TanabeFree
Profiling and Speeding Up Python

Profiling and Speeding Up Python

Find where your Python data and AI code really spends time and memory, then fix the parts that matter.AdvancedPython for AI4.7(3)78 lessonsSample
Felix Brandt$10
Agent or Workflow? Choosing the Right Design

Agent or Workflow? Choosing the Right Design

Decide in ten minutes whether your idea needs an agent, a fixed workflow or a single good promptBeginnerAI agents4.7(3)75 lessonsSample
Hiroshi Tanabe$4
Evaluating Retrieval Quality

Evaluating Retrieval Quality

Measure whether your retrieval finds the right passages with real queries, relevance labels and the right metrics.AdvancedEvaluation and testing4.7(3)75 lessonsSample
Fumiko Arai$11
Scheduled Reports That People Read

Scheduled Reports That People Read

Automate weekly reports with AI written summaries that are accurate, short and actually usedBeginnerAI automation4.3(3)73 lessonsSample
Isabela Duarte$4
Calling Web APIs from Python

Calling Web APIs from Python

Fetch data from any web API with Python: requests, JSON, keys, pagination, timeouts and errors.BeginnerPython for AI4.5(4)73 lessonsSample
Efua Mensah$4
Working in a Terminal Based Coding Agent

Working in a Terminal Based Coding Agent

Use a command line coding agent to explore, edit, test and commit code safely in real projectsIntermediateAI agents4.7(3)72 lessonsSample
Jude Mensah$8
pandas DataFrames for Everyday Analysis

pandas DataFrames for Everyday Analysis

Load, filter, group, join and summarise tabular data with pandas without the classic silent mistakes.BeginnerPython for AI4.3(3)71 lessonsSample
Felix Brandt$4
Image embeddings and visual search

Image embeddings and visual search

Build image similarity and text to image search, and measure whether results are actually relevantIntermediateComputer vision4.7(3)71 lessonsSample
Noor Siddiqui$7
Reviewing AI Written Code Line by Line

Reviewing AI Written Code Line by Line

Catch the plausible bugs, invented APIs and quiet shortcuts that AI generated code often hidesIntermediateAI coding assistants4.7(3)71 lessonsSample
Ilse Vermeulen$7
Evaluating an AI Feature Before Launch

Evaluating an AI Feature Before Launch

Build an evaluation set, grade outputs reliably and set launch gates your team agrees onAdvancedAI for product and operations4.7(3)70 lessonsSample
Sanjana Rao$14