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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-a-generative-ai-micro-saas-app-with-python-streamlit/
课程评论：没有评论
课程名称：使用Python和Streamlit构建生成式AI微SaaS应用 课程概述：本课程将帮助学员掌握Python和Streamlit的潜力，创建并盈利自己的生成式AI微SaaS应用。课程内容全面，涵盖构建一个功能完备的SaaS应用、整合先进的生成式AI组件，并通过自定义域名进行全球部署。学员将学习如何使用Stripe和MongoDB管理订阅，并利用AWS和OpenAI ChatGPT等云平台来增强应用功能。无论您是Python开发者、有志创业者，还是希望探索AI与云计算的科技爱好者，本课程将使您获得成功所需的实践技能和知识。您不仅会构建自己的项目，还会了解如何通过Landing Page、电子邮件营销等有效推广。 课程内容概览： 第一部分：课程介绍与演示 - 课程目标和期望概述 - 使用AI的Streamlit强大功能的示范项目 - 课程项目：自动化租户管理门户介绍 第二部分：Streamlit基础 - 选择Streamlit作为SaaS应用的理由 - 成功的开发环境设置 - 深入探索Streamlit的交互性：Widgets、布局、会话状态 - 数据展示：有效使用表格、图表和动态内容 - 使用Streamlit和OpenAI构建类似ChatGPT的聊天机器人 - 将开源LLM整合到您的聊天应用中 第三部分：构建Streamlit微SaaS应用：实用教程 - 应用展示及功能讨论 - 高效开发的本地代码和环境设置 - 集成Stripe进行订阅管理 - 设置MongoDB用户数据库 - 使用FastAPI进行电子邮件验证及本地调试技巧 - 云部署选择（Railway或Streamlit Cloud） - 定制专业域名 第四部分：在SaaS应用中整合多模态生成AI - 生成AI在SaaS中的介绍 - 多模态AI功能演示：图片、音频、视频 - 多模态AI开发设置：OpenAI和Replicate - 使用GPT-4 Vision生成社交媒体帖子 - 生成TikTok内容，进行SE0优化等 第五部分：课程项目：AI租户管理系统（第一部分） - 复杂课程项目的介绍和前言 - 技术讨论及AWS S3设置的深入剖析 - 编码主要租户应用门户及部署策略 第六部分：课程项目：AI租户管理系统（第二部分） - 管理门户与AI文件分析的介绍 - 技术设置的详细指南，包括Conda、AWS S3、Stripe等 - EmbedChain聊天机器人的创建及使用OpenAI API分析租户文件 第七部分：附加内容：创建Landing Page、痛点识别、电子邮件营销 - Landing Page的介绍及识别痛点 - 使用Carrd和Mixo创建Landing Page的实践指南 - 使用EmailOctopus进行有效的电子邮件营销 加入我们，开始构建和扩展您自己的生成式AI微SaaS应用，迈出成为成功SaaS企业家的第一步！
Unlock the potential of Python and Streamlit to create and monetize your own Generative AI Micro-SaaS application. This comprehensive course takes you through the journey of building a fully-functional SaaS application, integrating cutting-edge generative AI components, and deploying it globally with a custom domain. You'll learn to manage subscriptions using Stripe and MongoDB, and harness the power of cloud platforms like AWS and OpenAI ChatGPT to enhance your application's capabilities.Whether you're a Python developer, an aspiring entrepreneur, or a tech enthusiast eager to explore the realms of AI and cloud computing, this course will equip you with the practical skills and knowledge you need to succeed. You'll not only build your own project but also understand how to market it effectively using landing pages, email campaigns, and more.With over 3 hours of video content, interactive coding exercises, and real-world projects, you'll gain hands-on experience that's directly transferable to building your own SaaS solutions. Dive into the world of SaaS with us and transform your ideas into reality!!Course Content Overview:Section 1: Course Introduction and DemosIntroduction to the course and its objectives.Course overview and what to expect.Advanced project showcase demonstrating the power of Streamlit with AI for SaaS.Introduction to the course project: Automated Tenant Management Portal.Section 2: Streamlit BasicsExploring the reasons behind choosing Streamlit for SaaS applications.Setting up your development environment for success.Diving into interactivity in Streamlit: Widgets, Layout, Session State.Displaying Data: How to effectively use Tables, Charts, and Dynamic Content.Building a ChatGPT-like chatbot clone with Streamlit and OpenAI.Open-Source LLM integration into your chatbot app w AnyScale or Together AI. Section 3: Building a Streamlit Micro-SaaS: The CookbookWalking through app showcases and discussing features.Local code and environment setup for efficient development.Integrating Stripe for subscription management.Setting up a MongoDB user database.Email verification with FastAPI and local debugging techniques.Deploying to Cloud (choices between Railway or Streamlit Cloud).Customizing your Domain Name for a professional touch.Section 4: Integrating Multimodal Generative AI in SaaS ApplicationsIntroduction to Multimodal Generative AI in SaaS.Demo of Multimodal AI Features: Photos, Audio, Video.Setup for Multimodal AI Development: OpenAI and Replicate.Automated Social Media Posts with GPT-4 Vision.Generating TikTok Content with GPT-4-V Vision and Audio.SEO Optimization with AI-Generated ALT Text.Advanced AI Photo Editing Techniques.Enhancing Image Quality through AI Upscaling.Section 5: Course Project: AI Tenant Management System (Part 1)Introduction and preamble to the complex course project.In-depth discussion on technologies involved and AWS S3 setup.Detailed walkthrough on setting up AWS S3 Secret Keys and additional technology setups.Coding the main Tenant Application Portal.Deployment strategies and reviews for Railway.Section 6: Course Project: AI Tenant Management System (Part 2)Introduction to Management Portal and AI document analysis.Comprehensive guide on technology setup including Conda, AWS S3, Stripe, OpenAI, MongoDB.Detailed explanation of utility methods and S3 Data Manipulation.Creation of the EmbedChain Chatbot and analysis of tenant documents using OpenAI API.Implementing "Map Reduce": AI Analysis Summary of Summaries and chatbot interactions.Section 7: Bonus: Landing Page Creation, Pain Points, Bootstrapping, Email MarketingIntroduction to Landing Pages, identifying Pain points, and Bootstrapping strategies.Practical guide to creating landing pages with Carrd and Mixo.Effective Email Marketing with EmailOctopus..Real-world marketing, measuring results, and bootstrapping examples including Reddit campaigns and email strategies.Join us on this comprehensive journey to build and scale your very own Generative AI Micro-SaaS App with Python & Streamlit. Take the first step towards becoming a successful SaaS entrepreneur today!
