Welcome to the Aralia Academy! Aralia is committed to promoting AI and open data education, combining professional courses, hands-on training and cross-disciplinary exchanges, as well as building a complete knowledge base to help students quickly look up and apply the latest technologies, cultivate real-world skills and innovative thinking, and create a learning platform for sharing and growth. Aralia Academy is a smart learning platform for users, integrating AI and open data related content. Users can quickly search for operation guides, technical articles, frequently asked questions, and best practice cases to get complete and real-time solutions. At the same time, the Knowledge Base provides advanced resources to help users gain a deeper understanding of the system architecture, master the latest application techniques, and improve their work efficiency and professional competence.
Aralia Essentials is the foundation core of Aralia Academy, which is designed for beginners, leading users to understand the core concepts of AI and open data from scratch. It helps students to quickly build a knowledge framework and lay the foundation for advanced learning and project application.
Aralia Data Planet Guide is the foundation course module of Aralia Academy, which takes users from zero to hero. The course covers system operation guide, basic tool application and hands-on exercises to help students get started with data analysis.
Aralia Cloud｜Private Data Planet is a non-public data environment for businesses and organizations, providing a secure private cloud architecture that allows users to centrally manage and explore their data. Through this platform, users can access their own internal proprietary data and application analytics, ensuring that sensitive data is used securely and in a controlled environment.
Aralia AI SDK is the core module of the Aralia data ecosystem responsible for intelligent applications and interactive capabilities. Through LLM (Large-scale Language Model), combined with Rule-Based Agent architecture and the platform's internal landmark analysis, users are able to answer questions, analyze contexts, and automate inferences without the need for a technical background.
The goal of this module is to make "every piece of data speak for itself", thus enhancing the effectiveness of data insights and decision-making efficiency.
The Use Case area is a collection of real-world examples of data analytics, AI applications, and teaching practices using the Aralia platform. These cases span across different domains, demonstrating how Data Planet has been implemented in policies, industries and communities, and how a complete data-driven application process can be established through the "Chart + Landmark + Agent + Q&A" approach.