Resources Hub

All tools, videos, and learning materials from every session — deduplicated and organized.

Interactive

TensorFlow Playground

Play with a real neural network in your browser. Adjust neurons, layers, and watch learning happen in real-time.

Explore now
Interactive

LLM Visualization

Stunning 3D walkthrough of GPT architecture. See every layer, attention head, and matrix operation.

Explore now
Build Tool

Teachable Machine

Train your own image, sound, or pose classifier with zero code. Export to use in your projects.

Start building
Video

Karpathy: Deep Dive into LLMs

3.5 hour masterclass from the former Tesla AI Director. The definitive explainer for how ChatGPT works.

Watch now
Tool

OpenAI Tokenizer

See exactly how LLMs break text into tokens. Essential for understanding prompts and context limits.

Try it
Code

Google Colab

Free cloud Python notebooks with GPU access. Write and run code without installing anything.

Open Colab
Download

Prompt Engineering Cheat Sheet

Print-ready one-page reference with CRAFT framework, techniques, Quick Wins, and API basics. Keep it next to your computer!

Open cheat sheet
Hands-On

Colab Workshop Notebook

Hands-on notebook for building your first AI application. Includes Email Analyzer, Meeting Summarizer, and Product Description Generator.

Open in Colab
Docs ?

Anthropic Documentation

Official documentation for Claude API. The source of truth for building with Claude.

Read docs
Tool ?

API Console

Get your API key, monitor usage, and manage billing for Claude API access.

Get API key
Guide ?

Prompting Guide

Comprehensive resource covering all prompt engineering techniques with examples and research.

Learn more
Code ?

Anthropic Cookbook

Code examples and recipes for common Claude use cases. Perfect for reference.

View examples
Key Concept

Agentic AI Deep-Dive

Visual explainer: Chatbot vs Agent, the Agent Loop, and the NanoClaw case study. Perfect for review.

View deep-dive
Start Here ?

NanoClaw for Beginners

No programming experience needed. Understand how a production AI agent works through business analogies, pseudocode, and just ~20 key lines of real code. Interactive detective challenges included.

Start learning
Deep Dive ?

Inside NanoClaw: Full Code Walkthrough

Ready for more? Read real production agent code file-by-file. See how index.ts, ipc-mcp.ts, and db.ts map to the Agent Formula. ~700 lines that power 10,500+ GitHub stars.

Explore the code
Hands-On

Agent Workshop Notebook (Claude)

Build your first AI agent with 3 tools: calculator, stock lookup, company info. Watch Claude reason about which to use. Requires an Anthropic API key.

Open in Colab
Hands-On

Agent Workshop Notebook (Gemini)

Same agent workshop using Google Gemini instead of Claude. Identical tools and structure — just a different LLM backend. Requires a Google API key.

Open in Colab
Builder ?

Lovable

AI-powered full-stack builder. Describe your app, get working code with backend, database, and deployment.

Start building
Builder

Bolt.new

Instant web apps from prompts. Great for rapid prototyping and iteration.

Try Bolt
Builder

Claude Artifacts

Create interactive tools, visualizations, and mini-apps directly in Claude conversations.

Open Claude
Docs ?

Anthropic Tool Use Docs

Official documentation for giving Claude tools. The foundation of building AI agents.

Read docs
Hands-On

Real-World Agent Notebook (Claude)

Build an agent with real APIs: Wikipedia search, web page fetcher, error handling, and conversation memory. Uses Claude/Anthropic SDK.

Open in Colab
Hands-On

Real-World Agent Notebook (Gemini)

Same real-world agent workshop using Google Gemini. Identical tools and structure — different LLM backend. Requires a Google API key.

Open in Colab
Docs ?

Wikipedia REST API Docs

Free, no-key API for page summaries, search, and more. The real API your agent uses in today's workshop.

Read docs
Docs ?

Beautiful Soup Documentation

Python library for parsing HTML and extracting text from web pages. Powers the web fetcher tool in today's notebook.

Read docs
Lecture

Session 6 Lecture Guide

Projectable lecture companion — visual slides for the full Session 6 lecture with key diagrams, code comparisons, and interactive navigation.

Open lecture guide
Key Concept

Advanced Agent Patterns

Visual explainer: ReAct reasoning, Chain-of-Thought planning, multi-agent architectures, and MCP. The patterns that power production AI agents.

View patterns
Start Here

ReAct Agent: Live Walkthrough

Watch a ReAct agent think step-by-step: search, evaluate sources, extract facts, and synthesize a research report. Interactive trace with real data.

Watch the agent
Hands-On

Research Agent Workshop Notebook

Take your Session 5 tools, change one system prompt, and watch the behavior transform. Three-level comparison, failure exploration with real APIs, and a structured report generator.

Open in Colab
Docs ?

Anthropic Agent Documentation

Official guide to building agentic systems with Claude. Covers tool use, multi-step reasoning, and best practices for production agents.

Read docs
Key Concept ?

Model Context Protocol (MCP)

The open standard for connecting AI agents to tools and data sources. Think USB-C for AI. Browse 1,000+ available servers.

Explore MCP
Guide

Building Effective Agents (Anthropic)

Anthropic's guide to building effective agents. Practical patterns, common pitfalls, and when to use agents vs. simpler solutions.

Read guide
Research

ReAct: Synergizing Reasoning and Acting

The original research paper that introduced the ReAct pattern. Showed that interleaving reasoning and action dramatically improves agent performance.

Read paper
Tool

Claude Code

Anthropic's agentic coding tool. A real-world example of everything we discussed: ReAct reasoning, tool use, multi-step planning, MCP.

Try Claude Code
Start Here

RAG Agent: Live Walkthrough

Watch a RAG agent search company documents, rank results, detect outdated data, and generate a cited answer. Interactive animated trace with real CloudSync data.

Watch the agent
Lecture

Session 7 Lecture Guide

Projectable lecture companion — visual slides for the full Session 7 lecture with RAG architecture diagrams, failure mode analysis, and interactive navigation.

Open lecture guide
Hands-On

Knowledge Agent Workshop Notebook

Build a company knowledge agent with document loading, search, and RAG. Uses Claude's long context window — no vector DB needed.

Open in Colab
Docs ?

Anthropic RAG Documentation

Official guide to building RAG systems with Claude. Covers chunking strategies, retrieval patterns, and best practices.

Read docs
Docs

Claude's Long Context Window

Claude can process 200K tokens at once. Learn how to use long context as a simpler alternative to traditional vector search for smaller document sets.

Read docs
Instructor ?

Speaker Notes — Professor's Command Center

Private dashboard with talking points, demo cues, discussion prompts, and live timers for each lecture section. Open on your laptop while projecting the lecture guide.

Open speaker notes
Workshop ?

Workshop Timer

Full-screen projectable 45-minute countdown with 3 phases, auto-transitions, audio chimes, and troubleshooting tips for the hands-on Colab session.

Start timer
Demo

RAG Failure Modes Demo

Interactive demo of three RAG failure scenarios — outdated documents, contradictions, and unanswerable questions. Toggle between broken and fixed agent behaviors.

Explore failures
Homework ?

Homework Guide — Build Your Knowledge Agent

Step-by-step walkthrough for the Session 7 homework: build a RAG agent, stress-test it, evaluate accuracy, and design a real-world proposal. Includes starter code and rubrics.

Start homework
Homework ?

Homework Notebook — Build Your Own Knowledge Agent

Colab notebook for the Session 7 homework. All RAG infrastructure is pre-built — pick your domain, load your documents, test your agent, break it, and evaluate it.

Open in Colab
Hands-On

Multi-Agent Workshop Notebook

Build a Researcher → Analyst → Editor pipeline. Learn agent communication, handoffs, and quality control in a multi-agent system.

Open in Colab
Instructor

Speaker Notes

Professor's command center with talking points, demo cues, discussion prompts, and section timers for the full 2.5-hour session.

Open notes
Timer ?

Workshop Timer

45-minute projectable countdown with 3 phases: Build Researcher (15 min), Build Analyst (15 min), Add Editor + Run Pipeline (15 min).

Start timer
Demo

Pipeline Demo — Live Trace

Interactive step-by-step visualization of a Researcher → Analyst → Editor pipeline. Watch data transform at each handoff with play/pause controls.

Launch demo
Homework ?

Homework Guide

Step-by-step walkthrough for all 4 homework tasks: extend your pipeline, analyze distortion, design for your industry, and read about orchestration.

View guide
Hands-On

Industry Agent Starter Notebook

Starter templates for Marketing, Finance, HR, and Operations agents. Pick your track and build.

Open in Colab
Reading

AI Risk by Industry

Anthropic's perspectives on AI safety. Context for understanding domain-specific risks in your agent applications.

Read guide
Hands-On

Guardrails Workshop Notebook

Add approval gates, confidence thresholds, input/output guardrails, and cost tracking to your industry agent.

Open in Colab
Docs

Anthropic Safety Documentation

Official guide on protecting against prompt injection and building safe AI applications with Claude.

Read docs
Hands-On

Evaluation Pipeline Notebook

Build a 20-case test suite, automated runner, and LLM-as-judge evaluator. Includes consistency testing and failure analysis.

Open in Colab
Docs ?

Anthropic Evaluation Guide

Official guide to testing and evaluating Claude-based applications. Covers test design, automated scoring, and quality metrics.

Read docs
Final Project

Final Project Page — Build Your Agent

All Final Project details for this semester: deliverables, problem ideas, starter resources, and FAQ. Submit your notebook + 1-page brief on Canvas by Tue May 5 at 11:59 PM.

Open project page
Review ?

All Session Resources

Review any session's materials — agent patterns (S6), RAG (S7), multi-agent (S8), industry agents (S9), guardrails (S10), evaluation (S11).

Browse sessions
Voting ?

Peer Voting Form

Rate each team's demo on four criteria: Does it work? Is the problem real? Would you trust it? Compelling demo?

Open form

Course Materials PDF

Download the complete AI: From Neurons to LLMs reference document.

Download PDF