Build A Generative Ai Micro-Saas App With Python & Streamlit

Master SaaS with Python and Streamlit: Integrate AI, Deploy Globally, and Monetize Your Skills

What you'll learn
Build a micro-SaaS app with Python & Streamlit
Integrate generative AI components into a SaaS app
Subscription management with Stripe and MongoDB
App deployment to cloud with custom domain
Multimodal generative AI with photos, audio, video
Integrate Data Science components into a SaaS app
Navigate and utilize AWS and OpenAI for advanced app functionalities
Landing pages, Marketing Bootstrapping, Email Campaigns
Leverage ChatGPT in your micro-SaaS
AWS S3 integration in a Streamlit app
Open source model deployment in cloud

Requirements
Basic Python knowledge: Familiarity with Python programming is necessary to follow the course content effectively.

Description
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!

Who this course is for:
Python developers who want to quickly build a SaaS app,Streamlit users who want to monetize their app,Aspiring entrepreneurs interested in SaaS and AI,Programmers seeking to learn about cloud deployment and subscription management,Tech enthusiasts eager to explore generative AI and cloud