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AI learning path

AI foundations

Build enough AI literacy to use modern tools without being fooled by confident output.

Best for
Everyone
Level
Beginner
Time
4-8 hours
Start with step 1 Search related resources

Choose this when

You want a first route through LLM basics before picking a technical or business specialty.

You should be able to

You can explain what LLMs are good at, where they fail, and how to use them safely on real work.

Checkpoint

Move on when you can name three cases where an AI answer should not be trusted without outside evidence.

Do

Learning sequence

Work through the material inside each step. Videos are embedded where they fit; tutorials and references sit next to the task they support.

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Step 1

Get the mental model

Learn tokens, context, generation, tools, and why confident answers still need verification.

  • LLM basics
  • Context windows
  • Hallucination checks

Watch here

AI for Everyone video thumbnail ►

AI for Everyone

DeepLearning.AI

A nontechnical orientation before prompting, agents, RAG, or model internals.

Intro to Large Language Models video thumbnail ►

Intro to Large Language Models

Andrej Karpathy

Use this for the mental model: tokens, prediction, capabilities, and limits.

Open here

LLM Fundamentals

Free tutorial · Matt Pocock · Beginner

Start here for Matt Pocock's plain-English model of tokens, context windows, system prompts, tools, and agents.

Open resource

The Illustrated Transformer

Visual guide · Jay Alammar · Beginner to intermediate

Optional visual backup when you want to understand why these systems predict tokens instead of knowing facts.

Open resource

Step 2

Practice safe use

Run the same task through drafting, critique, and fact-checking prompts.

  • Prompt structure
  • Source checks
  • Privacy boundaries

Watch here

One useful thing about AI video thumbnail ►

One useful thing about AI

Ethan Mollick

Connect the basics to real work habits and verification.

Open here

Learn Prompting

Guide · Sander Schulhoff · Beginner to intermediate

Use the practical prompting lessons while you run drafting, critique, verification, and privacy checks.

Open resource

Step 3

Pick a direction

Choose the next path from the kind of work you actually need to improve.

  • Writing
  • Coding
  • Automation
  • Product

Use this step to apply what you watched and opened in the previous material.

Practice task

Take one messy work task and turn it into a prompt, a verification checklist, and a final answer you would be comfortable sharing.

Reference

All resources in this path

Search resources

Step 1

LLM Fundamentals

Free tutorial · Matt Pocock · Beginner

Start here for Matt Pocock's plain-English model of tokens, context windows, system prompts, tools, and agents.

Step 1

Generative AI for Everyone

Course · DeepLearning.AI · Beginner

Use this alongside Matt's tutorial for the nontechnical picture of what generative AI can and cannot do.

Step 1

The Illustrated Transformer

Visual guide · Jay Alammar · Beginner to intermediate

Optional visual backup when you want to understand why these systems predict tokens instead of knowing facts.

Step 2

Learn Prompting

Guide · Sander Schulhoff · Beginner to intermediate

Use the practical prompting lessons while you run drafting, critique, verification, and privacy checks.

Educators to follow

Ethan Mollick profile photo

Ethan Mollick

Beginner to advanced

Read recent essays on using AI as a collaborator and on organizational adoption.

View educator
Andrew Ng profile photo

Andrew Ng

Beginner to advanced

Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course.

View educator