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AI Canvas — The AI Bookshelf

25 must-read AI books mapped to the visual learning journeys in AI Kaleido. Each book is tagged by what it teaches and who it is best for, so you can read with purpose.

AI Books — Start Here

If you are opening AI Canvas for the first time, follow this sequence. It mirrors the app's philosophy: understand → build → apply → think strategically → anticipate what's next.

1

Beginner

Co-Intelligence

Ethan Mollick

2

Builder

AI Engineering

Chip Huyen

3

Strategist

Prediction Machines

Ajay Agrawal, Joshua Gans & Avi Goldfarb

4

Futurist

The Coming Wave

Mustafa Suleyman & Michael Bhaskar

🧠AI Foundations & Mental Models

Artificial Intelligence: A Modern Approach

Stuart Russell & Peter Norvig

The foundational AI textbook.

Learn

SearchKnowledgePlanningLearningNLPRobotics

Best for: Students & serious learners

Deep Learning

Ian Goodfellow, Yoshua Bengio & Aaron Courville

The classic deep-learning reference.

Learn

Neural netsBackpropagationCNNsRNNsRegularization

Best for: Researchers & engineers

Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow

Aurélien Géron

Practical ML → implementation.

Learn

Scikit-LearnKerasTensorFlowEnd-to-end pipelines

Best for: Builders who want working code

🤖Generative AI & LLMs

Hands-On Large Language Models

Jay Alammar & Maarten Grootendorst

Excellent visual introduction to LLMs.

Learn

TransformersTokenizationEmbeddingsFine-tuning

Best for: Visual learners & practitioners

Build a Large Language Model (From Scratch)

Sebastian Raschka

Understand what actually happens under the hood.

Learn

TokenizersAttentionPre-trainingInstruction tuning

Best for: Engineers who want to build

AI Engineering

Chip Huyen

Excellent bridge between models and production AI.

Learn

RAGAgentsEvaluationProduction systems

Best for: AI builders / product managers

Designing Machine Learning Systems

Chip Huyen

How ML becomes a real system rather than a demo.

Learn

DataModel selectionDeploymentMonitoring

Best for: ML engineers & system designers

🧩AI Agents / Future of AI

Agentic AI

Antonio Weiss

Agent-oriented thinking.

Learn

Agent designTool useAutonomyEnterprise agents

Best for: Leaders & strategists

The AI Engineer

Chip Huyen

Modern AI application engineering.

Learn

Foundation modelsToolingWorkflowsEvaluation

Best for: Software engineers moving into AI

Co-Intelligence

Ethan Mollick

One of the best books for understanding humans + AI.

Learn

Human-AI collaborationPromptingWork augmentation

Best for: Everyone starting with AI

💼AI + Business + Strategy

Prediction Machines

Ajay Agrawal, Joshua Gans & Avi Goldfarb

AI economics in wonderfully simple terms.

Learn

PredictionDecision toolsEconomics of AI

Best for: Executives & strategists

Power and Prediction

Agrawal, Gans & Goldfarb

How AI changes business decisions.

Learn

Decision systemsIndustry transformationStrategy

Best for: Business leaders

Competing in the Age of AI

Marco Iansiti & Karim R. Lakhani

AI-native operating models.

Learn

Digital operating modelScaleBusiness architecture

Best for: C-suite & founders

The AI Advantage

Thomas H. Davenport

Business application of AI.

Learn

Use casesAdoptionROIOrganizational change

Best for: Managers & practitioners

Human + Machine

Paul R. Daugherty & H. James Wilson

AI augmentation and organizational transformation.

Learn

AugmentationCollaborationWork redesign

Best for: HR & operations leaders

🌍AI, Society & the Big Picture

The Coming Wave

Mustafa Suleyman & Michael Bhaskar

AI + technological power + geopolitical implications.

Learn

ContainmentPowerGovernanceFuture risks

Best for: Policymakers & thinkers

Life 3.0

Max Tegmark

What happens when intelligence becomes programmable?

Learn

AGIFuture scenariosEthicsCosmology

Best for: Futurists & philosophers

Superintelligence

Nick Bostrom

Classic thinking about advanced AI.

Learn

Paths to superintelligenceControl problemStrategic analysis

Best for: AI safety researchers

The Alignment Problem

Brian Christian

Why getting AI to pursue human goals is difficult.

Learn

Reward hackingValue alignmentHuman feedback

Best for: Engineers & ethicists

Nexus

Yuval Noah Harari

Information networks, intelligence and the future.

Learn

Information networksDemocracyAI & society

Best for: General readers & leaders

Book Reviews

Co-Intelligence
"The best entry point for anyone wondering how AI will actually change day-to-day work. Mollick makes collaboration with machines feel concrete, not abstract."
AI Engineering
"If you have finished a course and want to ship something real, this is the bridge. Huyen connects models, data, evaluation and production without hand-waving."
Prediction Machines
"The clearest business lens on AI: it makes prediction cheaper, which reshapes decision-making across every industry."

Articles

Case Studies

NetflixRecommendation systems at scale
AmazonSupply-chain prediction and robotics
JPMorgan ChaseFraud detection and document intelligence
Mayo ClinicAI-assisted diagnostics and radiology

Magazines

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