Short course
ChatGPT Prompt Engineering for Developers
Beginner
You want a short, structured intro to prompting for software tasks.
AI educator
DeepLearning.AI Short Courses
Structured, practical courses from prompt engineering through agentic workflows.
Start with: Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course.
Short course
Beginner
You want a short, structured intro to prompting for software tasks.
Short course
Intermediate
You want a focused course on building stateful AI agents and agent workflows with LangGraph.
Short course
Beginner to intermediate
You want a practical introduction to role-based multi-agent systems and task orchestration.
Short course
Intermediate
You want a hands-on MCP course for connecting tools, context, and Claude-powered apps.
Short course
Intermediate
You need to test, trace, and improve agent workflows instead of judging only single LLM responses.
Short course
Intermediate
You want to understand how coding agents use tools, inspect code, run commands, and iterate on software tasks.
Short course
Beginner to intermediate
You want a structured Claude Code course before using it on a serious codebase.
Short course
Intermediate
You already know basic RAG and need better retrieval, evaluation, and production-quality patterns.
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Educator video
DeepLearning.AI · prompting, ai literacy, workflows
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Educator video
DeepLearning.AI · agents, agentic ai, ai engineering
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Educator video
DeepLearning.AI · ai literacy, strategy, foundations
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Educator video
DeepLearning.AI · prompting, developers, api
Everyone from beginners to builders should start here when they need prompting, agents, rag, and ml foundations. The strongest fit is a learner who wants material in these formats: short courses, specializations.
Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Structured, practical courses from prompt engineering through agentic workflows. 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.
These are not by Andrew Ng. They are included only as optional adjacent material after this educator's own videos and resources.
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DeepLearning.AI · prompting, api, developers, foundations
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AI Engineer · agents, ai engineering, developer tools, automation
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LangChain · agents, langgraph, llm orchestration, rag
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Hugging Face · agents, open models, tools, transformers
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LlamaIndex · rag, documents, agents, context augmentation
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
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. |
|
Prompt Engineering Guide
DAIR.AI
|
Guide | Beginner to advanced | You want examples of prompting techniques and patterns. |
|
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. |
|
Hugging Face MCP Course
Hugging Face
|
Free course | Beginner to intermediate | You want a free structured MCP path with concepts, assignments, SDKs, and a certificate route. |
|
OpenAI model guide
OpenAI
|
Model docs | Beginner to advanced | You need to choose between GPT-5.5, GPT-5.5 Pro, GPT-5.4 mini, GPT-5.4 nano, reasoning levels, tool support, and cost-sensitive API paths. |