With AI Builder, users can train and deploy custom AI models without writing any code. The platform includes pre-built models for common tasks, such as image classification, object detection, and sentiment analysis, which can be easily customized for specific business needs. Additionally, AI Builder provides a visual interface for data preparation, model training, and deployment, making it easy for non-technical users to build AI models.
One of the key benefits of AI Builder is its integration with the Power Platform, which provides a unified platform for building custom applications and automating processes. With AI Builder, users can seamlessly integrate AI models into their Power Apps, Power Automate flows, and Power Virtual Agents. This enables organizations to automate processes, make predictions, and provide insights in real-time.
AI Builder is designed for organizations of all sizes and industries, and can be used to automate a wide range of business processes, including lead scoring, customer sentiment analysis, and image recognition. With AI Builder, businesses can improve their decision-making and streamline their operations, while also reducing the need for manual data entry and other time-consuming tasks.
Target Audience:
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Business users: AI Builder is designed for non-technical business users who want to automate processes, make predictions, and provide insights without having to write code. The visual interface and low-code platform make it easy for business users to build and deploy custom AI models.
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Power Platform developers: AI Builder is also targeted towards Power Platform developers who want to integrate AI models into their Power Apps, Power Automate flows, and Power Virtual Agents. The platform provides a seamless integration with the Power Platform and enables developers to build and deploy custom AI models quickly and easily.
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Data scientists: Data scientists can use AI Builder to train and deploy custom AI models, as well as to prepare and clean data for model training. AI Builder provides a visual interface for data preparation and model training, making it easy for data scientists to build and deploy custom AI models without having to write code.
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IT professionals: IT professionals can use AI Builder to automate processes and provide insights that are critical to their organizations. The platform provides a unified platform for building custom applications and automating processes, and enables IT professionals to easily integrate AI models into their existing applications.
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Small and medium-sized businesses (SMBs): AI Builder is a cost-effective solution for SMBs who want to leverage the power of AI to automate processes, make predictions, and provide insights without having to invest in expensive infrastructure and technology.
Learning Objectives:
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Understanding of AI and its applications: Participants will learn about artificial intelligence, its use cases, and how it can be used to automate processes, make predictions, and provide insights.
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Low-code AI modeling: Participants will learn how to build and deploy custom AI models without writing any code, using the visual interface and pre-built models provided by AI Builder.
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Data preparation and cleaning: Participants will learn how to prepare and clean data for AI modeling, including how to handle missing data, handle outliers, and scale data.
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Model training and deployment: Participants will learn how to train custom AI models using AI Builder, as well as how to deploy those models for real-world use cases.
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Integration with the Power Platform: Participants will learn how to integrate AI models into their Power Apps, Power Automate flows, and Power Virtual Agents, as well as how to use AI Builder in conjunction with the Power Platform.
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Real-world use cases: Participants will learn about real-world use cases for AI Builder, including lead scoring, customer sentiment analysis, and image recognition.
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Best practices: Participants will learn best practices for building and deploying custom AI models, including how to evaluate model performance, how to fine-tune models, and how to handle bias in AI models.
This is a Rare Course and it can be take up to 3 weeks to arrange the training.