CF

Build Your SaaS AI Web Platform From Zero to Production

8h 36m 2s
English
Paid
Updated September 2026

Build Your SaaS AI Web Platform From Zero to Production is a 82-lesson 8 hours 36 minutes self-paced course by Code4Startup. Code4Startup's course is built around one real product: a "Chat with PDF" SaaS tool that lets users upload PDFs and interact with them through a language model, built as a microservice AI application from the ground up.

Course facts

Lessons
82
Duration
8 hours 36 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Code4Startup
Price
Premium

Code4Startup's course is built around one real product: a "Chat with PDF" SaaS tool that lets users upload PDFs and interact with them through a language model, built as a microservice AI application from the ground up.

What the course covers

  • Current trends behind microservice-based AI-SaaS products
  • Market research, target segments, branding, and content-driven marketing
  • Building a full web application without an external team
  • Setting up the server and database, then deploying and scaling it

Across 82 lessons, you go from initial idea to a live, monetized product, ending with both a working app and a clearer sense of the business model, marketing, and technical architecture that go with shipping a SaaS product on your own.

Who teaches Build Your SaaS AI Web Platform From Zero to Production? Code4Startup

Code4Startup thumbnail

Code4Startup (also known as CodeRealProjects) is a project-based teaching platform aimed at developers who want to learn the modern web stack by building real working applications — typically clones of well-known startup products (Airbnb, Twitter, Uber, Netflix) using the current full-stack JavaScript or PHP / Laravel toolchains.

The course catalog covers the modern full-stack stacks: React + Node.js, Vue + Laravel, Next.js + Supabase, the mobile side with React Native, plus the surrounding tooling for auth, billing, and deployment. Each course is structured around shipping a complete working clone of a recognisable product, which suits developers learning by reverse-engineering real applications rather than studying frameworks in isolation.

The CourseFlix listing under this source carries 8 Code4Startup courses spanning that range. Material is paid; courses are sold individually on the original platform.

What lessons are included in Build Your SaaS AI Web Platform From Zero to Production?

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#1: What we are building
All Course Lessons (82)
#Lesson TitleDurationAccess
1
What we are building Demo
04:23
2
General website structure
09:00
3
Docume page
06:05
4
Chat page
06:29
5
Pricing page
01:54
6
Install Node
01:41
7
Install Visual Studio Code
03:05
8
Create Next.js app
06:23
9
Create Navbar with shadcn ui
11:03
10
Customize styles
04:26
11
Hero section
10:16
12
Features section
08:42
13
Footer section
10:03
14
Final touch
05:16
15
Create Docume page
08:42
16
Mockup data
04:38
17
Upload Dialog
13:06
18
File Dropzone
10:24
19
Form handling
08:01
20
Improvement
06:13
21
Form submission
07:03
22
Clerk
01:48
23
Create Auth pages
07:37
24
Grouping folders
06:40
25
Dashboard layout
04:58
26
Auth layout
03:33
27
Structure of Pre-signed URL
03:33
28
Setting up S3 bucket
06:23
29
Setting up S3 IAM
04:55
30
Server Actions - Part 1
09:30
31
Server Actions - Part 2
03:09
32
Generate S3 Pre-signed URL
09:38
33
Upload PDF file
04:16
34
Import PDF from URL
10:41
35
Fix CORS issue
03:43
36
Notification messages
07:02
37
Loading state
03:50
38
Vector Embeddings
03:44
39
Vector Database
04:15
40
Get PDF Text with Langchain
08:58
41
Split docume into small chunks
05:59
42
Pinecone
03:14
43
OpenAI
01:34
44
Embeddings docume to Pinecone
07:42
45
Chat page
04:46
46
PDF Viewer
06:13
47
Sidebar
03:03
48
Toolbar
03:57
49
Install Prisma
10:08
50
Query database - Part 1
07:28
51
Query database - Part 2
03:12
52
Reformat data
05:06
53
Create document
11:57
54
Get document
08:05
55
Create Update PDF UI
06:19
56
Show data on UI
04:50
57
Update document server actions
07:46
58
Create Submit button
06:08
59
Create Delete PDF UI
04:59
60
Delete document server actions
09:28
61
Delete PDF and Pinecone
10:58
62
Form
04:55
63
Messages
05:35
64
AI Stream
15:41
65
useChat
04:52
66
Auto scrolling
03:50
67
Create message model
05:05
68
Save messages to database
07:48
69
Show messages
04:42
70
Setting up Stripe
03:28
71
Stripe pricing table
04:18
72
Pricing modal
11:42
73
Subscription model
02:57
74
Setting up webhook
03:23
75
Running webhook
08:54
76
Save subscription to database
06:42
77
Fix Billing Portal link
06:36
78
Dynamic Billing Portal link
07:01
79
Handling subscription upgrade
07:35
80
Vercel
02:02
81
Deploy to Vercel
08:23
82
Redeploy
02:35
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Frequently asked questions

What prerequisites are required for this course?
This course requires a basic understanding of programming concepts and familiarity with web development tools. Prior experience with JavaScript and Node.js will be beneficial, as the course includes setting up a server and creating a Next.js app. Basic knowledge of cloud services, particularly AWS S3, is also advantageous since you will be working with S3 buckets and IAM settings.
What final project will I build in this course?
You will build an AI-SaaS platform called 'Chat with PDF'. This service allows users to upload PDF documents and interact with them in real-time using language models. The project involves creating several components, such as a document upload page, chat interface, and integrating a vector database with OpenAI for enhanced interaction capabilities.
Who is the target audience for this course?
This course is designed for aspiring entrepreneurs, indie hackers, and developers interested in building microservice-based SaaS AI platforms. It aims to equip learners with the skills needed to create, deploy, and monetize their own AI applications, making it suitable for those who want to enter the startup ecosystem or expand their technical expertise.
How does this course compare to other web development courses?
Unlike general web development courses, this course specifically focuses on building SaaS AI platforms using microservices. It covers not only the technical aspects but also market analysis, branding, and monetization strategies. The course provides a comprehensive pathway from idea to production, making it distinct from other courses that may only focus on coding or design.
What platforms and tools are covered in the course?
The course covers a range of tools and platforms essential for building SaaS AI applications. Key technologies include Next.js for front-end development, AWS S3 for cloud storage, and OpenAI for language processing. Tools like Node.js, Visual Studio Code, and Prisma are also covered to help set up the development environment and manage databases.
What topics are not covered in this course?
The course does not cover advanced AI model training or data science techniques in detail. It focuses on integrating existing AI models into a SaaS platform rather than developing new models from scratch. Additionally, it does not delve deeply into backend languages other than JavaScript or alternative cloud service providers beyond AWS.
What is the expected time commitment for this course?
The course consists of 82 lessons, and while the total runtime is not specified, learners should expect to spend several weeks completing it if tackled part-time. Each lesson includes practical assignments, so dedicating consistent time each week to practice and implement the project components is recommended to successfully build and launch the final application.