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Artificial Intelligence
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Foundations
Preface
AI Thinking and Problem Framing
Data, Models, and Inference
AI and Machine Learning
Modern AI
Neural Networks
Language Models and Generative AI
Image and Multimodal AI
Prompting and Structured Outputs
Retrieval and Tools
Building Responsibly
Evaluation and Failure Analysis
Privacy, Bias, and Human Oversight
Reproducible AI Workflows
AI Hackathon
AI Hackathon: Choose the Problem and Plan
AI Hackathon: Build and Test the Prototype
AI Hackathon: Demonstrate, Decide, and Improve
Next Steps
From Prototype to Practical Application
References
Appendices
Appendix
Table of contents
Artificial Intelligence
A Practical Path from AI Concepts to a Working Prototype
Published
Sep 2026
Free Guide · Updated Sep 2026
Preface
