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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
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 lessonsSample
Gabriela Sousa$5
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 lessonsSample
Greta Lindqvist$8
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 lessonsSample
Farid 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 lessonsSample
Farid 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 lessonsSample
Greta Lindqvist$5
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
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
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
Prompt Caching for Lower Cost and Latency

Prompt Caching for Lower Cost and Latency

Structure prompts so repeated prefixes are cached, then measure the savings in cost and response time.IntermediateBuilding with LLM APIs4.5(2)28 lessonsSample
Farid Haddad$7
Build a Chat Backend That Holds Up

Build a Chat Backend That Holds Up

Design and build a chat backend with auth, storage, streaming, quotas and cost tracking that survives real use.IntermediateBuilding with LLM APIs4.5(2)18 lessonsSample
Gabriela Sousa$8