·AI & ChatGPT
Module 2 Lesson 5: System vs User Prompts
Understanding the difference between high-level architectural instructions and immediate conversational queries.
api
17 articles
·AI & ChatGPT
Module 7 Lesson 5: Integrating with APIs and Tools
Connecting apps. How to use ChatGPT to write API requests, parse JSON, and handle authentication.
·AI & ChatGPT
Module 9 Lesson 1: Using ChatGPT via API
Move beyond the chat box. Learn the fundamentals of the OpenAI API, model selection, and how to build your own AI-powered apps.
·DevOps
Module 4 Lesson 4: Pipeline Triggers and API
Automation beyond Git. Learn how to trigger GitLab pipelines using HTTP requests, custom tokens, and external services like Webhooks or IoT devices.
·Automation
Module 6 Lesson 1: Professional API Requests
Master the HTTP Request node. Learn how to handle different request methods (GET, POST, PUT, DELETE), custom headers, and query parameters for any API.
·Automation
Module 6 Lesson 4: Pagination & Rate Limits
Master the large-scale API dance. Learn the patterns for exhausting paginated API results and how to use the 'Loop' and 'Wait' nodes to stay within legal speed limits.
·Automation
Module 6 Lesson 5: Debugging API Failures
Why did it fail? Learn how to read HTTP error codes (400, 401, 403, 404, 500) and use the n8n execution log to find exactly what went wrong in your API call.
·AWS Bedrock
Module 11 Lesson 1: Action Groups and Schemas
Defining the Capability. How to describe your APIs to a Bedrock Agent using OpenAPI schemas.
·AWS Bedrock
Module 3 Lesson 1: The InvokeModel API
Going Raw. How to use InvokeModel to send model-specific JSON payloads to Bedrock.
·AWS Bedrock
Module 3 Lesson 2: The Converse API
Unified AI. How to use AWS Bedrock's standard interface to write model-agnostic code.
·AWS Bedrock
Module 5 Lesson 1: Streaming Responses
The Typing Effect. How to use converse_stream to send tokens to your UI as they are generated.
·AWS Bedrock
Module 6 Lesson 1: FastAPI + Bedrock
Creating the Backend. How to wrap your Bedrock logic in a high-performance REST API.
·AWS Bedrock
Module 8 Lesson 1: Retrieve and Generate
The RAG APIs. Understanding the difference between raw retrieval and the fully managed 'Answer' API.
·AI & LLMs
Module 2 Lesson 6: Ollama Server and API Overview
Going beyond the terminal. Understanding the Ollama REST API and how to talk to your models via HTTP.
·AI & LLMs
Module 7 Lesson 5: Batch Inference
Processing at scale. How to optimize Ollama for high-volume tasks like document digestion.
·AI & LLMs
Module 8 Lesson 1: Ollama REST API
The universal bridge. How to talk to Ollama from any programming language using HTTP requests.
·AI & LLMs
Module 8 Lesson 2: Streaming API Responses
Words as they happen. How to handle NDJSON streams in your application for a professional AI feel.