Guide
Prompt Engineering Guide
Beginner to advanced
You want examples of prompting techniques and patterns.
AI educator
DAIR.AI Prompt Engineering Guide
A broad prompt engineering guide with many concrete examples and patterns.
Start with: Use the prompting techniques and RAG sections as a reference.
Guide
Beginner to advanced
You want examples of prompting techniques and patterns.
Guide
Beginner to advanced
Use this when you want Elvis Saravia's material for prompting and related AI skills.
Developers, researchers should start here when they need prompting, rag, reasoning, and agents. The strongest fit is a learner who wants material in these formats: guide, examples.
Use the prompting techniques and RAG sections as a reference. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
A broad prompt engineering guide with many concrete examples and patterns. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need prompting, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
ChatGPT Prompt Engineering for Developers
DeepLearning.AI
|
Short course | Beginner | You want a short, structured intro to prompting for software tasks. |
|
OpenAI Cookbook
OpenAI
|
GitHub repo | Beginner to advanced | You need implementation examples rather than theory. |
|
Microsoft AI Agents for Beginners
Microsoft
|
GitHub repo | Beginner to intermediate | You want a structured agent learning path with code. |
|
Learn Prompting
Sander Schulhoff
|
Guide | Beginner to intermediate | You need a broad prompt engineering reference. |
|
AI SDK v6 Crash Course
Matt Pocock
|
Workshop | Intermediate | You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns. |
|
LLM Fundamentals
Matt Pocock
|
Free tutorial | Beginner | You need clear mental models for system prompts, tokens, context windows, tools, and agents before building or using AI systems seriously. |
|
Vercel AI SDK Tutorial
Matt Pocock
|
Free tutorial | Beginner to intermediate | You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents. |
|
Model Context Protocol Tutorial
Matt Pocock
|
Free tutorial | Intermediate | You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution. |
|
A Complete Guide To AGENTS.md
Matt Pocock
|
Guide | Intermediate | You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries. |
|
How To Make Codebases AI Agents Love
Matt Pocock
|
Guide | Intermediate | You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably. |
|
AI Agents in LangGraph
DeepLearning.AI
|
Short course | Intermediate | You want a focused course on building stateful AI agents and agent workflows with LangGraph. |
|
Multi AI Agent Systems with crewAI
DeepLearning.AI
|
Short course | Beginner to intermediate | You want a practical introduction to role-based multi-agent systems and task orchestration. |