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商品描述

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course offers a hands-on, practical approach to learning how to create chatbots and AI workflows using the no-code platform, Dify. You will gain insights into how Dify empowers users to build sophisticated applications without requiring programming knowledge. By exploring different features, you will unlock the potential to automate tasks, integrate AI models, and optimize workflows. The course is structured around key sections that will guide you from beginner concepts to advanced applications. You will start by understanding the platform, including setting up your account and comparing the Cloud and Community editions of Dify. You will then dive into building your first chatbots and workflows, experimenting with variables, models, and AI agents. The journey continues with creating applications for specific use cases such as text generation, vision capabilities, and workflow automation. As you progress, you will learn to incorporate knowledge bases into your projects, syncing data from websites and building dynamic, intelligent systems. With practical workshops along the way, you'll build real-world applications, like an article reader, to consolidate your learning and develop hands-on expertise. The final section will guide you through deploying your applications, monitoring performance, and exploring the Explore tab for further enhancements. This course is ideal for those looking to dive into AI and automation without a technical background. It's perfect for business professionals, entrepreneurs, and anyone interested in building AI-driven chat applications. A basic understanding of AI concepts is helpful but not required, and the course is designed to be beginner-friendly. By the end of the course, you will be able to create no-code chatbots, integrate AI models into applications, automate workflows, and build knowledge bases that can dynamically adapt to real-time data.

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