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:
- Classify images and text
- Detect objects in images
- Predict future events
- Generate text and code
- Translate languages
- Create chatbots
AI Builder is a powerful tool that can help you to improve the efficiency and effectiveness of your business processes. It is a great option for businesses of all sizes, and it is especially well-suited for businesses that do not have the resources to invest in a dedicated AI team.
Why Learn AI Builder?
There are many reasons to learn AI Builder. Some of the benefits include:
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Improved efficiency: AI Builder can help you to automate tasks and improve the efficiency of your business processes.
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Increased productivity: AI Builder can help you to increase productivity by automating tasks and freeing up your time to focus on more strategic initiatives.
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Better decision-making: AI Builder can help you to make better decisions by providing you with insights and predictions based on data.
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Competitive advantage: AI Builder can give you a competitive advantage by helping you to develop innovative solutions that meet the needs of your customers.
If you are looking for a way to improve the efficiency and effectiveness of your business, then AI Builder is a great option for you. It is a powerful tool that can help you to solve a wide range of business problems.
How Can Online Courses Help You Learn AI Builder?
sbzwl5|
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.
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 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 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.
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.
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.
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.
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.
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.
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.
A foundational text focusing on the probabilistic approach to machine learning and pattern recognition. is highly mathematical and best suited for graduate students and researchers aiming for a deep theoretical understanding. It provides the rigorous background for many of the algorithms used in machine learning models.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/sbzwl5/ai
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