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Free AI Resources

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Five free courses, with quizzes and hands-on practice. Start with the foundations or choose the skill you need next.

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Pick the skill you need.

New to AI? Start with AI Foundations. Every course includes quizzes and flashcards.

A noodle bowl, budget wallet and map beside a phone ready for an order approval.
Build an agent

Agentic AI Foundations for Product Builders

Build a dinner-assistant prototype that understands requests, uses tools and asks for approval.

6 modules 24 lessons Free

Fictional menus and simulated orders.

Explore Agentic AI
View 6 modules
  1. 01AI Foundations: Understand and Structure User RequestsConnect generative AI foundations to product decisions: prompts, context, structured responses, and a tested request-understanding workflow. Four lessons plus a guided build; allow 4–6 hours.
  2. 02Retrieval: Ground Recommendations in Reliable InformationRetrieve useful menu evidence, preserve its context, filter real constraints, and explain recommendations with sources.
  3. 03Agent Workflows: Connect Tools and Manage StateDefine tool contracts, inspect state transitions, recover from failures, and understand when frameworks or multiple agents help.
  4. 04Model Adaptation: Choose Prompts, Retrieval, or Fine-TuningDiagnose failures before choosing an intervention, understand LoRA and QLoRA, and compare local-model tradeoffs.
  5. 05Evaluation: Measure Quality and Diagnose FailuresBuild a small test set, use appropriate graders, inspect traces, and compare changes without hiding critical failures.
  6. 06Safety and Release: Protect Users and Require ApprovalKeep untrusted content separate from authority, minimize sensitive data, enforce approval, and demonstrate the complete prototype honestly.
A planning board connects research, tool use and review stations.
Coordinate agents

Multi-Agent Workflow Systems

Give agents clear roles, coordinate their handoffs and inspect the work they produce together.

6 modules 28 lessons Free

Explore Multi-Agent Workflows
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  1. 01Agent Fundamentals & ArchitectureUnderstand what makes an agent different from a simple LLM call, explore the anatomy of autonomous agents, and learn the core patterns for planning, tool use, and memory.
  2. 02Current Frameworks & ToolingSurvey the leading agent frameworks, orchestration platforms, and model providers available today, and learn how to evaluate them for your workflow needs.
  3. 03Planning & Execution AgentsBuild specialized agents: one that decomposes tasks and creates plans, and another that executes steps and produces outputs. Learn handoff patterns and state management.
  4. 04Orchestration & Inter-Agent LearningCreate a master orchestrator agent that coordinates other agents, routes tasks, and learns from outcomes. Explore communication protocols and shared memory architectures.
  5. 05Agent Swarms & Dynamic Sub-Agent SpawningImplement swarm intelligence patterns where a controller spawns multiple sub-agents, delegates work in parallel, and aggregates results with collective feedback.
  6. 06Building a Production WorkflowIntegrate everything into a real-world multi-agent system for small business automation, handling inbound inquiries, bookings, purchases, team notifications, and customer responses.
A magnifying glass compares response cards with a quality rubric.
Test AI quality

Advanced: AI Evals Deep Dive

Define what good looks like, build scoring rubrics and catch failures before users do.

3 modules 12 lessons Free

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  1. 01What Evals Are and Why They MatterLearn the fundamental mental models for AI product evaluation, why traditional QA doesn't work for LLMs, and how evals tie to product quality and user trust.
  2. 02Designing Rubrics That WorkMaster the art of writing concrete scoring criteria, from binary pass/fail to nuanced multi-dimensional rubrics that capture what good looks like.
  3. 03Building and Running Eval WorkflowsGo from theory to practice: assemble eval datasets, choose human vs. LLM-as-judge, interpret results, and integrate evals into your product development cycle.
Hands label an image and rank response cards before a quality review.
Improve training data

AI Annotation Foundations for Product Builders

Design annotation workflows that turn human judgement into consistent, useful AI data.

7 modules 31 lessons Free

Explore AI Annotation
View 7 modules
  1. 01From Data Labeling to AI Data ProductionUnderstand how annotation has evolved from simple bounding boxes to expert feedback loops that shape frontier models. Learn the modern taxonomy of work: RLHF, red teaming, model evals, and constitutional AI.
  2. 02The Four Product SurfacesMap the platform's four distinct user personas , requester/customer, reviewer/expert annotator, ops/workflow manager, and platform/admin , and how their needs conflict and align.
  3. 03Competitive Landscape and Strategic WedgesAnalyze the major players (Scale AI, Labelbox, Snorkel AI, Surge AI, Mercor, SuperAnnotate) by their go-to-market wedges, platform differentiation, and where they win or lose.
  4. 04Quality Systems and Labeler PerformanceDesign quality control mechanisms that catch errors early and improve over time: gold sets, consensus, calibration sessions, rubrics, and adjudication workflows.
  5. 05Metric Trees for AI Data PlatformsBuild a metric tree that balances speed, quality, and model impact. Move beyond label volume to accepted data, downstream model performance, and customer retention.
  6. 06Interview Execution and Question DesignPrepare for common PM interview questions (product design, metrics, trade-offs, prioritization) and learn how to ask sharp questions back that signal deep platform thinking.
  7. 07The Triple-Sided Platform: Ecosystem, Workflow & OpportunityMap the three sides of an annotation platform , AI labs/requesters, the expert workforce, and ops/QA reviewers , across their before/during/after workflow, their distinct needs and pain points at each stage, and where the biggest product opportunity sits versus the competitive field.

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More ways to learn.

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ASSESSMENT

Find your AI builder path.

Answer eight questions about your goals, experience and preferred support to find a suggested learning path.

Find my learning path
Dave Wang presenting Your Strategies to Break Into Product Management.
CAREER ROADMAP

The Break-In Blueprint.

Explore the five stages of breaking into product management, with seven video lessons and a practical tracker.

Explore the PM roadmap
Dave discussing product ideas during a talk.
Product ideas from Dave’s teaching and experience.
WRITING

Product thinking, in practice.

Read Dave’s essays on product decisions and lessons from building products.

Read on Medium
Dave and workshop participants discussing their work.
Lessons from the work, shared in Dave’s writing.
NEWSLETTER

Keep learning with Dave.

Notes, ideas and reflections from Dave’s work in product.

Explore the newsletter
Dave in a small online group conversation, with participant faces obscured.
A small-group conversation from Dave’s earlier teaching.
OPEN QUESTIONS

Ask Dave anything.

Bring a question about product thinking, AI or what you’re building.

Open the question board
Learn with other builders

Bring your questions.
Find your people.

Meet other learners, share what you’re trying and talk through your product questions.

Explore the community

Ready to build with AI?

Start with AI Foundations. Learn the concepts, then put them to work.

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