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ai-practitioner-handbook

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AI Practitioner Handbook | https://aisingapore.github.io/ai-practitioner-handbook/

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# AI Singapore's AI Practitioner Handbook

![AISG's AI Practitioner Handbook Banner](https://raw.githubusercontent.com/aisingapore/ai-practitioner-handbook/main/book/assets/images/logos/aisg-ai-practitioner-handbook-banner.png)

## Overview

This handbook is an accumulation of AI Singapore’s Innovation and Platforms Engineering team's experience in delivering more than 40 AI Minimum Viable products (MVP) under the [100E](https://www.aisingapore.org/innovation/100e) programme over the last 5 years.  It is an edited volume containing individual original articles written by our AI Engineers, themed around common topics encountered over a typical AI development lifecycle.

![Handbook chapters mapped onto AI development lifecycle](https://raw.githubusercontent.com/aisingapore/ai-practitioner-handbook/main/book/assets/images/diagrams/chapters_ml_lifecycle.png)

We envisioned this handbook as a useful guide for new AI Engineers joining AI Singapore and to quickly come up to speed on how we execute AI projects. However, the information contained here would also appeal to any new AI Engineers and Managers deploying their first AI project into production.

## How to use this book

The AI Practitioner Handbook is designed to cater to different reading styles. When read end-to-end, the chapters will cover the typical AI project lifecycle, providing a comprehensive understanding of the entire process. Alternatively, book sections can be read in a standalone manner. Each section is written in a question-and-answer format, making it easy to find relevant information quickly.

The AI Practitioner Handbook complements other resources by focusing on the practical aspects of delivering AI projects. To get the most out of this book, use it alongside resources that cover AI algorithms, techniques, and research that further build upon your AI fundamentals. By doing so, you’ll gain a comprehensive understanding of both the theoretical and practical aspects of AI project execution.

## What Our Reviewers Say

"*Whether your role in an AI project is that of a technical lead, AI model implementor, data manager, domain or business function expert, or business-side project manager, this handbook will accelerate your learning curve for understanding the end-to-end aspects of the AI project.*"  
- [Steven Miller](https://www.linkedin.com/in/iamstevenmiller/), Professor Emeritus of Information Systems, Singapore Management University and co-author of [*Working with AI*](https://mitpress.mit.edu/9780262047241/working-with-ai/), MIT Press

"*This is a fantastic book because it focuses on an often overlooked aspect of ML education—the actual problems, people and teams you deploy it for. It's a great resource for anyone who wants to successfully put the theory of ML into practice. BAM!*"  
-[ Josh Starmer](https://www.linkedin.com/in/joshua-starmer-phd/), Founder and CEO at [StatQuest](https://statquest.org/)

“*AISG’s release of the AI Practitioner Handbook as a practical and credible guide to accelerate the learning curve of incoming AI scientists and engineers is a generous service to Singapore’s growing AI community.*”  
- [Jason Tamara Widjaja](https://www.linkedin.com/in/jasontamarawidjaja/), Global AI Lead at a multinational biopharmaceutical company

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