Full-Day Classroom Seminar
Build Your Own AI Agents (No-Code) to Automate Business Tasks
Learn how to build smart AI assistants that can automatically handle everyday business tasks, saving time and improving productivity.
Empowering professionals to work faster, smarter, and with less manual effort.
The Programme
Programme Overview
Introduction
Course Overview
Businesses are constantly slowed down by repetitive, manual workflows that drain productivity and consume valuable hours. Historically, implementing automation and AI required expensive engineering resources and complex coding, making it inaccessible for the average business professional.
This hands-on workshop empowers you to build your own AI agents entirely without code. By the end of the session, you will know exactly how to create practical AI workflows that help your organization operate faster, smarter, and with significantly less manual effort.
Outcomes
What You Will Learn
Participants will learn to:
- Build your very first real AI agent using n8n.
- Design intelligent email processing agents that can classify incoming messages using AI and auto-respond.
- Integrate long-term memory into your agents using Supabase to move from simple bots to stateful, context-aware assistants.
- Automate business pipelines by pulling leads, enriching data via external APIs, and generating personalized email outreach.
- Orchestrate multi-agent systems to simulate coordination, utilizing a supervisor agent model and role-based delegation.
- Develop real-time voice-enabled AI agents by connecting VAPI to n8n.
- Deploy your automations as AI SaaS products by building user interfaces without coding using Lovable.
Methodology
How We Teach
This workshop is heavily project-based, ensuring you leave with functional, real-world automations. You will build four core projects:
- Project 1: Intelligent Email Processing Agent (Gmail triggers, AI classification, structured output to Google Sheets).
- Project 2: AI Research Agent with Memory (API research, Supabase storage, enriched responses).
- Project 3: Business Automation Agent (Lead enrichment, automated follow-ups, logging status).
- Project 4: Multi-Agent Content Factory (Simulating coordination between Research, Writing, Editing, and Publishing agents).
The Outcome
Impact & Audience
For the Organization
Organizational Impact
- Drastically Reduce Operational Costs: Automate everyday business tasks, freeing up employee hours for high-value strategic work.
- Accelerate Business Workflows: Implement practical AI workflows that allow cross-functional teams to work faster and smarter.
- Eliminate Developer Bottlenecks: Empower non-technical staff to build and deploy custom AI solutions without relying on expensive coding resources.
- Scale Operations Efficiently: Utilize multi-agent systems and voice AI to handle increased workloads, complex reasoning, and customer interactions autonomously.
For the Individual
Personal Impact
- Become an Automation Expert: Master state-of-the-art platforms like n8n, Supabase, VAPI, and Lovable.
- Future-Proof Your Career: Transition from manual task execution to designing and orchestrating autonomous AI systems.
- Multiply Your Output: Learn to delegate research, writing, editing, and data entry to your own custom-built AI assistants.
- Earn Recognized Credentials: Receive a Certificate of course completion to validate your new AI automation skills to employers and clients.
Audience
Who Should Attend
- Operations & Process Managers: Automate data entry, lead enrichment, and complex follow-up workflows.
- Marketing & Content Leads: Build a multi-agent content factory with dedicated AI nodes for researching, writing, and publishing.
- Customer Support Heads: Deploy intelligent email responders and voice AI agents to handle customer queries efficiently.
- Founders & Entrepreneurs: Turn internal automations into scalable AI SaaS products without writing code.
- IT & Systems Administrators: Learn advanced orchestration design patterns, error handling, and API integrations.
Curriculum
Course Outline
Faculty & Inclusions
Your Trainer
Faculty
Led by No-Code AI Automation Experts
This intensive workshop is facilitated by seasoned AI automation architects and no-code specialists. Our trainers possess deep, hands-on experience building, deploying, and scaling autonomous agents and multi-agent systems for modern enterprises. They bridge the gap between complex AI capabilities and practical, no-code business applications, ensuring you leave the room with functional workflows ready to deploy.
What's Included
Certificates & Inclusions
- Lunch
- Tea/Coffee
- Course Material
- Hands-on project files
- Certificate of Completion
Registration
Reserve Your Seat
Need Assistance?
Talk to a Programme Advisor
Have questions about your specific industry, or want to enquire about group discounts? Reach out to our programme coordinators directly.
Or register by e-mail
register@princetonacademy.co.inFor Teams
Corporate In-House Training
Have a large HR and Finance team? Standardize your compliance across all locations by training your entire team at once.
Request a Custom In-House ProposalSchedule
Upcoming Build Your Own AI Agents Sessions
No upcoming sessions are scheduled right now — please check back soon, or contact us directly.
Questions
Frequently Asked Questions
No coding experience is required. The entire workshop focuses on building AI agents without code, utilizing visual builders to design agent logic and even build user interfaces without coding.
Participants will dive deep into n8n for workflow automation, use Supabase for integrating memory and databases, leverage VAPI for building voice AI agents, and explore Lovable for building AI SaaS apps.
You will learn to automate a wide variety of tasks, such as classifying emails and generating auto-responses , pulling and enriching leads via APIs for personalized outreach , and running a multi-agent content factory for writing and publishing.
A standard chatbot is typically stateless, while a true AI agent uses memory and databases (like Supabase) to retain context over time. Agents can also autonomously use tools and API integrations to execute multi-step reasoning and conditional tasks.
Yes, the course is highly practical and includes four major builds: an Intelligent Email Processing Agent, an AI Research Agent with Memory, a Business Automation Agent, and a Multi-Agent Content Factory.
