CF

Build and Deploy a B2B SaaS AI Support Platform

22h 20m 55s
English
Paid

Welcome to our comprehensive course on building a B2B SaaS AI Support Platform from scratch. This course is designed to equip you with the skills to create an advanced AI-powered customer support solution, integrating numerous cutting-edge tools and technologies.

Course Overview

Throughout this course, you will:

  • Set up real-time chat: Use Convex Agents to deploy a seamless real-time chat system.
  • Add voice support: Integrate VAPI for enhanced voice interaction capabilities.
  • Upload documents and create a knowledge base: Utilize embeddings and Retrieval-Augmented Generation (RAG) to facilitate efficient document management.
  • Train the AI: Enable functionalities for the AI to escalate dialogues to human support or automatically resolve inquiries.

Implementing Features

Workspaces and Teams

Learn to create and manage multiple workspaces and teams, enhancing collaboration and productivity within your platform.

Authentication and Billing

Implement secure user authentication and billing processes using Clerk, ensuring that your platform is both secure and user-friendly.

Additional Functionalities

  • Embed a chat widget: Discover how to seamlessly integrate a chat widget into any website.
  • Secure API key storage: Use AWS to securely store sensitive API keys, maintaining the integrity and security of your platform.
  • Error tracking: Implement Sentry for proactive error tracking and management, ensuring platform reliability.

Course Format

Each module concludes with a pull request and code review in CodeRabbit, allowing you to apply and refine your learning through practical, real-world application.

About the Author: Antonio Erdeljac (Code With Antonio)

Antonio Erdeljac (Code With Antonio) thumbnail

Antonio Erdeljac is a Croatian developer behind the Code With Antonio YouTube channel — one of the more active independent full-stack JavaScript channels online, with a focus on long-form, project-based clones of well-known applications (Netflix clone, Spotify clone, Notion clone, Discord clone, Trello clone). The channel's distinctive contribution is the depth of those clone tutorials — each typically runs 8-15 hours and covers the full back-end-to-front-end implementation of a working app.

The course catalog covers the modern Next.js / React stack: App Router patterns, server components, server actions, Prisma + PostgreSQL, NextAuth / Clerk authentication, Stripe billing, file uploads, real-time features with Pusher, and the deployment workflow with Vercel. Material is paid extended versions of the YouTube content with additional features and context.

The CourseFlix listing under this source carries over 15 Code With Antonio courses spanning that range. Material is aimed at intermediate-and-up React developers building real full-stack applications.

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#1: Setup
All Course Lessons (35)
#Lesson TitleDurationAccess
1
Setup Demo
33:48
2
Convex Package
51:17
3
Clerk Authentication
37:54
4
Organizations
36:53
5
Error Tracking
24:19
6
AI Voice Assistant
29:04
7
Dashboard Layout
34:36
8
Theme
12:39
9
Widget Layout
17:57
10
Widget Session
41:15
11
Widget Screen Router
10:20
12
Widget Loading
55:11
13
Conversations
31:15
14
AI Agents
01:09:14
15
Infinite Scroll
29:49
16
Widget Inbox
31:22
17
Dashboard Inbox
55:55
18
Dashboard Chat
48:48
19
AI Tool Calling
52:47
20
Generating Embeddings
52:18
21
Knowledge Base
01:00:49
22
AI Search Tool
28:31
23
AWS Secrets Manager
15:28
24
Vapi Plugin
01:06:52
25
Vapi Data
53:41
26
Widget Settings
56:45
27
Widget Config
31:25
28
Widget Vapi
44:23
29
Widget Improvements
14:00
30
Contact Panel
43:50
31
Subscriptions
01:00:16
32
API Improvements
28:28
33
Integrations UI
27:12
34
Embed Script
36:22
35
Deployment
16:12
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Frequently asked questions

What prerequisites should I have before taking this course?
Before enrolling, you should have a basic understanding of web development and familiarity with JavaScript, as the course involves deploying real-time chat systems and integrating various tools. Knowledge of API usage and cloud services will also be beneficial, especially for modules involving AWS and API key storage.
What will I be able to build by the end of this course?
By the end of the course, you will have built a fully functional B2B SaaS AI support platform. This includes features such as a real-time chat system using Convex Agents, voice support integration with VAPI, document management with Retrieval-Augmented Generation, and secure user authentication and billing using Clerk.
Who is the target audience for this course?
The course targets developers and tech enthusiasts interested in creating AI-powered customer support solutions. It's ideal for those looking to enhance their skills in deploying SaaS platforms, integrating AI functionalities, and managing secure authentication and billing processes.
How does this course compare in depth and scope to other similar courses?
This course offers a comprehensive approach to building a B2B SaaS AI support platform from scratch. Unlike other courses that might focus on individual components, this course covers a wide range of topics, including real-time chat setup, voice support, secure API key storage, and error tracking with Sentry, providing a holistic learning experience.
What specific tools or platforms will I learn to use in this course?
The course covers a variety of tools and platforms, including Convex Agents for chat systems, VAPI for voice interaction, Clerk for authentication and billing, AWS for secure API key storage, and Sentry for error tracking. These tools are integrated to create a seamless AI support platform.
What topics are not covered in the course?
The course does not cover the basics of AI or machine learning in detail, nor does it delve into advanced cloud architecture outside of AWS for API key storage. It focuses primarily on the integration of existing tools and technologies to build a SaaS platform rather than developing AI models from scratch.
What is the expected time commitment for completing this course?
The course consists of 35 lessons, and while the total runtime is not specified, students should expect to dedicate several hours each week to complete the modules, exercises, and projects. This time commitment ensures a thorough understanding of each component necessary for building the platform.