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

Master SaaS with Python & 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

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

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 clone with Streamlit and OpenAI.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: 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 5: 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 6: 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!

Overview

Section 1: Course Introduction and Demos

Lecture 1 Introduction

Lecture 2 Course Overview

Lecture 3 Advanced Project Showcase: Power of Streamlit with AI for a SaaS

Lecture 4 Introduction to the Course Project: Automated Tenant Management Portal

Section 2: Streamlit Basics

Lecture 5 Why Streamlit?

Lecture 6 Setting up your development environment

Lecture 7 Interactivity in Streamlit: Widgets, Layout, Session State

Lecture 8 Displaying Data: Tables, Charts, and Dynamic Content

Lecture 9 Building a ChatGPT-like clone with Streamlit and OpenAI

Section 3: Building a Streamlit Micro-SaaS: The Cookbook

Lecture 10 App showcase, demo and features walkthrough

Lecture 11 Local code and environment setup

Lecture 12 Stripe integration

Lecture 13 MongoDB user database setup

Lecture 14 Email verification server with FastAPI Part 1

Lecture 15 Email verification local debug with FastAPI Part 2

Lecture 16 Deploying to Cloud (Railway.io or Streamlit Cloud)

Lecture 17 Customize your Domain Name!

Lecture 18 Course Check-in! Midway Point.

Section 4: Course Project: AI Tenant Management System (Part 1)

Lecture 19 Intro and Preamble to Course Project

Lecture 20 Technologies involved and AWS S3 setup

Lecture 21 AWS S3 Secret Keys Setup

Lecture 22 More technology setup: Google Tesseract, Poppler, Conda env

Lecture 23 Explaining Utility Functions/Method Part 1

Lecture 24 Explaining Utility Functions/Method (Mongo) Part 2

Lecture 25 Explaining Utility Functions/Method Part 3

Lecture 26 Coding the Main Tenant Application Portal

Lecture 27 Deploy to Railway Part 1 (Review)

Lecture 28 Deploy to Railway Part 2 (Poppler and Tesseract)

Section 5: Course Project: AI Tenant Management System (Part 2)

Lecture 29 Intro to Management Portal and AI document analysis

Lecture 30 Technology setup: Conda, AWS S3, Stripe, OpenAI, MongoDB

Lecture 31 Utility methods and S3 Data Manipulation

Lecture 32 How to create the EmbedChain Chatbot

Lecture 33 Analyzing Tenant Documents with OpenAI API

Lecture 34 "Map Reduce": AI Analysis Summary of Summaries

Lecture 35 Chatbot with Tenants using EmbedChain

Section 6: Additional Content: Landing Page Creation, Pain Point Marketing, Bootstrapping

Lecture 36 Introduction to Landing Pages, Painpoint Marketing and Bootstrapping

Lecture 37 Landing Pages with Carrd

Lecture 38 Email Marketing with EmailOctupus

Lecture 39 Create a Landing Page in 5 seconds with Mixo.io

Lecture 40 Marketing, Measuring, Bootstrapping

Lecture 41 Examples: Reddit Bootstrapping, Email Campaigns

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