AI Agent Trainer Needed
Budget: ₹750 – ₹2,000 INR
I’m looking for an experienced trainer who can run engaging, hands-on sessions for university students and faculty eager to learn how AI agents work in real-world settings. Our focus is introductory to intermediate content, and I’m open to both code-based and no-code approaches so long as the concepts land clearly with an academic audience.
You’ll deliver a already created curriculum that walks participants through practical use of the following tools (either you can build agent with code or no code both works) in the context of building, deploying and managing agents:
• N8N for low-code orchestration
• Vibe Coding for rapid prototyping
• Claude Co-Work for collaborative AI workflows
• Python foundations paired with LangChain and LangGraph for custom agent logic and integrations
Sessions should weave in product-management thinking—showing how to translate a requirement into an agent specification, select the right stack, iterate, and measure success. Expect interactive demos, live walkthroughs and plenty of Q&A.
What I consider a complete delivery:
1. Live delivery on-campus for the agreed number of hours.
2. A brief summary report capturing participant feedback and your improvement suggestions for the next run.
If you have prior experience teaching these tools, or you’ve built production-grade agents yourself, let me know the details and share any sample decks or recordings. Do mention your city and location.
You’ll deliver a already created curriculum that walks participants through practical use of the following tools (either you can build agent with code or no code both works) in the context of building, deploying and managing agents:
• N8N for low-code orchestration
• Vibe Coding for rapid prototyping
• Claude Co-Work for collaborative AI workflows
• Python foundations paired with LangChain and LangGraph for custom agent logic and integrations
Sessions should weave in product-management thinking—showing how to translate a requirement into an agent specification, select the right stack, iterate, and measure success. Expect interactive demos, live walkthroughs and plenty of Q&A.
What I consider a complete delivery:
1. Live delivery on-campus for the agreed number of hours.
2. A brief summary report capturing participant feedback and your improvement suggestions for the next run.
If you have prior experience teaching these tools, or you’ve built production-grade agents yourself, let me know the details and share any sample decks or recordings. Do mention your city and location.
Related categories:
Python
Training
Git
LangChain
AI Chatbot Development
AI Model Development
AI Development
Vibe Coding