May 1, 2024
Updated July 7, 2025
15 minute read
AI Builder is a low-code platform that allows users to add AI capabilities to their Power Apps and Power Automate solutions. It provides a set of pre-built AI models that can be used to perform a variety of tasks, such as image recognition, text analysis, and prediction. AI Builder also includes a point-and-click interface that makes it easy to use, even for those with no AI experience.
AI Builder can be used to solve a wide range of business problems. For example, you can use AI Builder to:
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Find a path to becoming a AI Builder. Learn more at:
OpenCourser.com/topic/sbzwl5/ai
Reading list
We've selected 25 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AI Builder.
Comprehensive guide to AI Builder, covering everything from the basics to advanced techniques. It is written in a clear and concise style, making it easy to understand even for beginners.
Shows you how to use AI Builder with Power Apps to build powerful and intelligent business applications. It great resource for developers who want to get started with AI Builder and Power Apps.
Focuses on how companies can strategize and compete effectively in an era transformed by AI. It's highly relevant for business leaders and professionals using AI Builder to drive digital transformation. It provides a framework for leveraging AI as a core strategic asset.
A widely-used practical guide, this book is excellent for deepening understanding of machine learning concepts through hands-on implementation in Python. Suitable for undergraduates, graduate students, and professionals, it covers a broad range of algorithms and techniques. While more code-focused than AI Builder, the practical knowledge gained here is invaluable for understanding how models work and for potential integration or advanced customization.
A foundational text for understanding how data science, including machine learning, can be applied to improve business decision-making. is essential reading for business-oriented students and professionals using AI Builder. It provides crucial context on framing business problems in a way that can be solved with data and AI.
Directly addresses the principles and practices of developing and using AI responsibly. Given that AI Builder enables business users to implement AI, understanding responsible AI is vital. This book provides a framework and guidance for ensuring ethical and fair use of AI, relevant for all audiences involved in AI projects.
Directly relevant to the business context of AI Builder, this handbook focuses on how AI can be applied to solve real-world business problems. It's highly valuable for working professionals and business-focused students. It provides essential context on the strategic value and potential use cases of AI technologies like those offered by AI Builder.
Reframes AI as a 'prediction machine,' explaining its economic implications in clear terms. It's highly relevant for business leaders and professionals using AI Builder to understand the economic value and opportunities presented by AI. It helps in identifying where and how AI can create business value.
Offers a solid foundation in the algorithms and techniques used in predictive data analytics, a core aspect of many AI Builder scenarios. It balances theory with practical examples and case studies, making it suitable for undergraduate and graduate students, as well as professionals. It helps solidify understanding of the 'why' and 'how' behind the predictive capabilities offered by AI Builder.
As AI becomes more integrated into business processes via tools like AI Builder, understanding the ethical implications is paramount. provides an accessible synthesis of the key ethical issues raised by AI. It is relevant for all audiences and crucial for responsible deployment of AI technologies.
Focuses on the practical aspects of designing and building production-ready machine learning systems. It is particularly relevant for professionals and graduate students who need to deploy and manage AI solutions, potentially integrating with or extending platforms like AI Builder. It provides valuable insights into the MLOps aspects of AI.
Focuses on applying machine learning techniques to solve practical problems using Python. It's a good resource for deepening understanding through applied examples, suitable for undergraduate students and professionals. It complements AI Builder by showing how various ML tasks can be approached programmatically, providing a deeper insight into the capabilities offered by low-code tools.
Focusing on practical application using Python and the scikit-learn library, this book is suitable for undergraduate students and professionals beginning their journey in machine learning. While AI Builder is low-code, understanding the underlying Python libraries and workflows covered here can solidify understanding and provide context for more complex tasks or custom model development alongside AI Builder. It's a valuable resource for gaining practical foundational knowledge.
Delves into the complex challenge of ensuring that machine learning systems act in alignment with human values. It's a crucial contemporary topic for anyone involved in developing or deploying AI, including those using platforms like AI Builder. It highlights the potential pitfalls and the importance of careful design and monitoring.
An accessible and engaging look at how algorithms are impacting various aspects of society, from justice to healthcare. is suitable for all audiences and provides valuable insights into the real-world implications of the types of systems that can be built with tools like AI Builder. It encourages critical thinking about the societal impact of AI.
Written by a leading AI researcher, this book explores the long-term challenges of ensuring AI remains beneficial to humanity. While not directly about AI Builder, it addresses critical contemporary topics around AI safety and alignment that are important for anyone working with or deploying AI. It provides valuable perspective for advanced students and professionals.
Often referred to as the 'bible of deep learning,' this book provides a comprehensive and in-depth treatment of deep learning concepts and techniques. It is essential for graduate students and professionals specializing in neural networks. While AI Builder abstracts away much of this complexity, understanding deep learning is crucial for advanced customization or troubleshooting.
Provides a very accessible, plain English introduction to the core concepts of machine learning. It is ideal for high school students and absolute beginners looking to gain a broad understanding without getting bogged down in complex math or programming. It serves as excellent background reading to demystify the fundamental ideas behind technologies like AI Builder.
Explores the five main schools of thought in machine learning and the potential for a single 'master algorithm.' It's a great read for gaining a broad conceptual understanding of the different approaches to ML for audiences from undergraduate to professional. It provides context for the variety of model types available in platforms like AI Builder.
Provides a conceptual and historical overview of artificial intelligence, exploring what AI is, where it came from, and its current limitations. It's excellent for gaining a broad understanding of the field for audiences from high school to professionals. It helps contextualize AI Builder within the larger landscape of AI and its capabilities.
This concise book offers a high-level overview of the essential machine learning concepts and algorithms. It's a great resource for quickly gaining a broad understanding or as a quick reference for students and professionals at various levels. Its brevity makes it useful for getting the core ideas before diving deeper into specific topics relevant to AI Builder's capabilities.
Providing a geopolitical and economic perspective on the rise of AI, this book offers important context on the global landscape of AI development and its potential impact on industries and jobs. It's valuable for professionals and advanced students seeking a broader understanding of the forces driving AI adoption and the environment in which tools like AI Builder operate.
Exploring the potential future impacts of advanced AI on humanity, this book prompts important discussions about the long-term implications of AI development. While philosophical at times, it's relevant for all audiences interested in the broader societal context of AI. It encourages thinking beyond the immediate application of tools like AI Builder.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/sbzwl5/ai
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