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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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Evaluating a model after fine tuning

Evaluating a model after fine tuning

Prove a tuned model is actually better, on your task and everywhere else it mattersIntermediateEvaluation and testing4.7(3)65 lessonsSample
Neha Varadan$8
Understanding an Unfamiliar Codebase with AI

Understanding an Unfamiliar Codebase with AI

Get oriented in a new codebase quickly by asking good questions and checking the answers in the codeBeginnerAI coding assistants4.3(3)65 lessonsSample
Ilse Vermeulen$5
Logging and Tracing LLM Calls

Logging and Tracing LLM Calls

Record every model call and pipeline step so you can explain cost, slowness and bad answers.IntermediateBuilding with LLM APIs4.0(3)65 lessonsSample
Farid Haddad$8
Learning a New Programming Language with AI

Learning a New Programming Language with AI

Pick up a second or third language faster by using an assistant as tutor, translator and code reviewerBeginnerAI coding assistants4.3(3)64 lessonsSample
Joanna Kowalczyk$4
Connecting Tools with the Model Context Protocol

Connecting Tools with the Model Context Protocol

Understand MCP servers and clients well enough to connect, build and secure tools for agentsIntermediateAI agents4.7(3)64 lessonsSample
Jamal Haddad$9
Reading and Debugging Agent Traces

Reading and Debugging Agent Traces

Read an agent's step by step record and find where and why a run went wrongIntermediateAI agents4.3(4)64 lessonsSample
Ingrid Solberg$8
Vector Databases for Beginners

Vector Databases for Beginners

Learn what a vector database does, when you need one and how to choose without falling for marketing.BeginnerRAG and search4.3(3)63 lessonsSample
Emeka Nwosu$4
Map Your Process Before You Automate

Map Your Process Before You Automate

Draw how the work really happens so you automate the right steps and not the messBeginnerAI automation4.7(3)62 lessonsSample
Isabela DuarteFree
Unit Tests for Python AI Code

Unit Tests for Python AI Code

Test the deterministic parts of LLM apps properly, with fake model clients instead of flaky live calls.IntermediateEvaluation and testing4.3(3)61 lessonsSample
Felix Brandt$6
Debugging with an AI Assistant

Debugging with an AI Assistant

Find and fix bugs faster by giving an assistant the right evidence and testing its theories one at a timeBeginnerAI coding assistants4.7(3)61 lessonsSample
Jude Mensah$4
Agent Failure Modes and How to Spot Them

Agent Failure Modes and How to Spot Them

Learn the common ways AI agents go wrong so you can recognise them early and respond calmlyBeginnerAI agents4.7(3)61 lessonsSample
Ingrid Solberg$4
Model Graded Evals and Their Pitfalls

Model Graded Evals and Their Pitfalls

Use language models as graders without fooling yourself: biases, validation against people and safeguards.AdvancedEvaluation and testing4.3(4)60 lessonsSample
Gonzalo Ibarra$11