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Foundations 89

All Foundations89 AI basics25 How language models work23 AI safety and ethics49

Everyday AI 91

All Everyday AI91 Prompting20 ChatGPT and Claude at work25 AI for writing29 AI for research and study33

Building with AI 162

All Building with AI162 Python for AI21 Building with LLM APIs30 RAG and search21 Evaluation and testing21 AI agents31 AI automation25 AI coding assistants30

Machine learning 149

All Machine learning149 Machine learning35 Data science and statistics30 Math for AI23 Deep learning28 NLP14 Computer vision14 Fine tuning and training12 MLOps and deployment18

Creative AI 77

All Creative AI77 Image and video AI58 Audio and voice AI12 AI for design33

AI at work 145

All AI at work145 AI for business34 AI for marketing and sales23 AI for product and operations28 AI for education28 AI for professionals29 AI careers18

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Building with LLM APIs Clear all

System Prompts for Real Applications

System Prompts for Real Applications

Write system prompts that make an app behave consistently, handle edge cases and survive real users.BeginnerBuilding with LLM APIs4.0(3)68 lessonsSampleGabriela Sousa$5 Your First LLM API Request

Your First LLM API Request

Send your first request to a language model API from code, read the reply and understand every field.BeginnerBuilding with LLM APIs4.7(3)66 lessonsSampleGabriela SousaFree 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 lessonsSampleFarid Haddad$8 Choosing the Right Model for a Task

Choosing the Right Model for a Task

Pick a model by testing it on your own task, weighing quality, speed, cost, context and data handling.All levelsBuilding with LLM APIs4.3(3)60 lessonsSampleGabriela Sousa$5 Fallbacks for Provider Outages and Errors

Fallbacks for Provider Outages and Errors

Keep LLM features working through outages, overloads and slowdowns with deadlines, breakers and fallbacks.AdvancedBuilding with LLM APIs4.7(3)60 lessonsSampleFarid Haddad$11 Tool Calling: Let the Model Use Your Code

Tool Calling: Let the Model Use Your Code

Define tools, run the call and result loop safely, and get a model to use your functions correctly.IntermediateBuilding with LLM APIs4.7(3)59 lessonsSampleGreta Lindqvist$8 Your First RAG Pipeline, End to End

Your First RAG Pipeline, End to End

Build a small retrieval augmented chatbot over your own documents, step by step, and see where it fails.BeginnerBuilding with LLM APIs4.7(3)59 lessonsSampleEmeka NwosuFree Token Counting and Cost Control

Token Counting and Cost Control

Count tokens, predict what a feature will cost and cut spending without hurting answer quality.BeginnerBuilding with LLM APIs4.3(3)57 lessonsSampleFarid Haddad$4 Rate Limits, Retries and Backoff

Rate Limits, Retries and Backoff

Handle 429s and overloads gracefully with backoff, jitter, client side pacing and retries that never cause storms.IntermediateBuilding with LLM APIs4.7(3)53 lessonsSampleFarid Haddad$7 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 lessonsSampleFarid Haddad$8 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 lessonsSampleGreta Lindqvist$5 Prompt Injection Defences for LLM Apps

Prompt Injection Defences for LLM Apps

Design LLM apps that stay safe when users, documents, web pages or tool results contain hostile instructions.AdvancedBuilding with LLM APIs4.7(3)49 lessonsSampleGreta Lindqvist$12