Build and Deploy a B2B SaaS AI Support Platform
22h 20m 55s
English
Paid
Course description
In this course, we will build a customer support platform based on AI from scratch: set up a real-time chat on Convex Agents, add voice support via VAPI, upload documents, and create a knowledge base using embeddings and RAG. We'll train the AI to escalate a dialogue to a human or automatically close a request. We will implement workspaces, teams, authentication, and billing on Clerk. We will cover embedding a chat widget, secure storage of API keys on AWS, and error tracking in Sentry. Each module concludes with a pull request and review in CodeRabbit.
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/ #1: Setup
All Course Lessons (35)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 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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