OpenAI Agent Builder and Chatkit, RAG, Chatbot, AI Assistant with MCP, AWS, RDS MySQL, AI in Production Deployment
Build Smart AI Agents Without Writing Complex Code
What you’ll learn
- Build and deploy AI agents visually using OpenAI Agent Builder with no coding required..
- Integrate AI workflows with real-world tools like MySQL, AWS, and MCP connectors..
- Design customer support and e-commerce AI assistants end-to-end..
- Deploy production-ready low-code AI workflows with ChatKit and Guardrails for safety..
Course Content
- Introduction –> 2 lectures • 6min.
- Introduction to OpenAI Agent Builder –> 6 lectures • 35min.
- Weather Agent with OpenAI ChatKit Output Template –> 7 lectures • 39min.
- Deep Dive into OpenAI Agent Builder Workflow Nodes & Tools –> 5 lectures • 35min.
- Finance and Health RAG Agent –> 5 lectures • 30min.
- Integrate Q&A Chatbot Agent with Website | Deploy Agent Workflow in Production –> 11 lectures • 1hr 5min.
- Setting up AWS RDS & MySQL for KGP Vibes Cafe –> 6 lectures • 36min.
- KGP Vibes Order Status and Recommender System – Deploy AI Assistant in Prod –> 12 lectures • 1hr 8min.
Requirements
Build Smart AI Agents Without Writing Complex Code
Want to create powerful AI agents that solve real business problems? This course teaches you how to use OpenAI’s Agent Builder—a visual, low-code platform that lets you design and deploy intelligent AI workflows without being a programming expert.
What You’ll Learn
This hands-on course takes you from complete beginner to building production-ready AI agents. You’ll master:
Core Skills:
- Navigate the OpenAI Agent Builder interface and workflow canvas
- Set up and connect AWS MySQL databases with your AI agents
- Use workflow nodes (If-Else, Set State, Transform, While loops, Guardrails)
- Access free OpenAI tokens (up to 250 million per day)
- Monitor agent performance with logs and traces
Real-World Projects You’ll Build:
1. Weather Forecast Agent
- Create an AI agent that provides weather information
- Learn to use ChatKit output templates for better user experience
- Implement classifier agents and conditional logic
2. RAG Document Q&A Chatbot
- Build a chatbot that answers questions from your documents
- Set up vector stores for intelligent document search
- Deploy your chatbot to a real website
- Host on Vercel for production use
3. E-Commerce AI Assistant (KGP Vibes Cafe)
- Design a complete customer service agent
- Connect to AWS RDS MySQL database
- Build product recommendation system
- Handle order status tracking and placement
- Route customer requests to the right agent
- Deploy using AWS Lambda and API Gateway
What Makes This Course Different
Every project is complete and production-ready. You won’t just learn theory—you’ll build real systems that connect to databases, handle live customer requests, and deploy to actual servers. Each lecture includes step-by-step guidance with clear explanations in simple English.
By the End of This Course
You’ll confidently build AI agents that:
- Answer customer questions automatically
- Search through documents and provide accurate information
- Recommend products based on customer preferences
- Track orders and manage databases
- Deploy to production servers for real-world use
Ready to start building intelligent AI agents? Enroll now and master OpenAI’s Agent Builder!