|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/llm-engineering-in-practice-with-streamlit-and-openai/
课程评论：没有评论
Coursera 课程《LLM Engineering in Practice with Streamlit and OpenAI》中文内容摘要： 本课程是一门实践导向的课程，旨在帮助学习者掌握使用 Streamlit、Python 和 OpenAI 模型设计、开发和部署 AI 应用的技能。您将以一个名为 ACE Interview 的实际 AI 面试应用为例，深入了解 LLM 应用的整个生命周期，并学习如何规避开发过程中遇到的挑战。 **课程核心内容包括：** * **Python 编程与 Streamlit：** 学习如何使用 Streamlit 构建交互式、用户友好的 Web 应用。 * **Prompt Engineering（提示工程）：** 掌握设计、优化和测试提示的技巧，以最大化 AI 项目的性能。 * **系统架构设计：** 学习绘制活动图，可视化应用结构，并有效规划和沟通项目。 * **LLM 应用：** 理解如何为不同用例利用大型语言模型，包括模型托管与 API 使用的区别，以及开源与闭源模型的选择。 * **成本管理：** 分析和预测 AI 项目的成本，并做出明智的决策。 **课程开发流程涵盖：** 1. **规划阶段：** 设计项目架构、数据库和提示，为项目奠定坚实基础。 2. **原型阶段：** 构建一个功能齐全的 Streamlit 应用，可用于展示。 3. **开发阶段：** 探索实际开发中可能遇到的挑战，如提示注入、处理幻觉、应用扩展、优化 Token 使用和成本管理，并学习有效的解决方案。 通过本课程，您不仅能获得一个可运行的 AI 面试模拟器原型，更能积累在 AI 开发领域脱颖而出的知识和信心，为投身或提升在 AI 领域的职业生涯做好准备。
Are you ready to dive into the fascinating world of AI-powered applications?Do you want to solve real-world problems using cutting-edge large language models (LLMs)?This is the perfect course for you!This course is your step-by-step guide to designing, developing, and deploying an AI application using Streamlit, Python, and OpenAI models. You'll not only learn the theory and development process but also gain hands-on experience with a practical, real-world example: ACE Interview, a powerful AI-driven interview application that has already helped thousands of people prepare for their interviews. By exploring the structure of ACE Interview, you'll see how the concepts taught in this course are applied in practice. Moreover, we'll share the challenges and mistakes we encountered during its development-and how we overcame them-so you can avoid similar pitfalls in your own projects.By completing this course, you'll acquire a versatile and highly practical skill set including:Python Programing with Streamlit - Learn to build interactive, user-friendly web apps using one of the most popular frameworks.Prompt Engineering - Master the art of designing, refining, and testing prompts to maximize the performance of your AI projects.System Architecture Design - Learn to create activity diagrams to visually map out your application's structure, making it easier to plan and communicate your ideas effectively.Utilizing LLMs: Understand how to leverage large language models for different use cases, including the differences between hosting models and using APIs, as well as open-source versus closed-source options.Cost Management: Analyze and predict the cost associated with your AI projects to make informed decisions.Our course takes you through every stage of the development process:Planning stage: Design the architecture, database and prompts to lay a strong foundation for your project.Prototype stage: Build a fully functional Streamlit to showcase in your portfolio.Development stage: Explore the real-world challenges you may encounter while working on your project and learn effective strategies to solve them. These include issues like prompt injections, handling hallucinations, scaling your application, optimizing token usage, and managing cost to ensure your project is both efficient and scalable.By the end of this course, you'll have more than just a working prototype of an AI interview simulator-you'll have the knowledge and confidence to create your own AI-powered applications. Whether you're looking to break into the booming field of AI development or enhance your existing skill set, this course will empower you to succeed in one of the most exciting and in-demand career paths of the future.Take the next step in your journey to becoming an AI engineer-enroll today!
