AI Agent Builder Certification: Automate Your Work in 2 Nights

set up N8N, connect an LLM with memory, integrate tools to automate your administrative tasks and activate your first live trigger

About This Series

Right now there are people running businesses, managing clients, sending emails, scheduling meetings, and following up on leads without lifting a finger. They built an AI agent and put it to work. Over these two sessions you become one of them.

This is not a theory class. This is not a demo. You are going to build a real, functional AI agent from scratch using N8N, one of the most powerful free automation tools available, and you are going to leave with something that actually runs.

No coding experience required. Just a laptop, a Google account, and the willingness to work.

The Market Is Paying Real Money for This Skill

The AI agent economy is not coming. It is already here. N8N developers currently earn an average of $52.84 per hour in the United States, with experienced builders earning up to $64.66 per hour, and that number climbs significantly for freelancers charging project rates. Low-code AI agents built on platforms like N8N are selling to businesses for $5,000 to $15,000 per project. On the productivity side, the AI agent market hit $7.84 billion in 2025 and is projected to reach $52.62 billion by 2030, meaning the demand for people who can build these systems is only accelerating. And the agents themselves? They deliver results that compound. Sales automation agents that qualify leads and book meetings often show full return on investment within two to four months, and customer service agents handling routine inquiries typically pay for themselves within three to six months. What you build in this two-part series is not just a class project. It is a skill that pays and a tool that works.

PART 1: MAY 21 | LAY THE FOUNDATION

Step 1: Set Up Your N8N Account and Map Your Workflow You will create your free N8N account, learn how the workflow canvas works, and map out the full automation blueprint for your agent before you write a single connection.

Step 2: Connect Your Large Language Model with Memory You will connect an LLM directly into your workflow and add memory so your agent remembers context across interactions, not just respond to one prompt at a time.

Step 3: Integrate Your Google Tools You will connect Gmail, Google Calendar, and Google Docs into your workflow so your agent can read, respond, schedule, and document on your behalf.

PART 2: MAY 29 | FINISH AND DEPLOY

In Part 2 you will complete your full agent build, test every connection end to end, troubleshoot live, and deploy a fully functioning AI automation that works in the background of your business around the clock.

Activate Your First Live Trigger You will set your first trigger so your agent knows when to start working and test it live in the session to confirm it runs correctly.

What You Walk Away With After Part 1 A fully connected N8N account with a mapped workflow. An LLM with memory integrated. Gmail, Google Calendar, and Google Docs connected and functional. Your first trigger activated and tested live.

This series is for you if: You are tired of doing repetitive tasks manually every single day. You want to build something that works for you around the clock. You have heard about AI automation but never knew where to start. You are ready to stop watching other people talk about agents and build your own.

About Professor Kez Professor Kez is the founder of School at Night and SkillhouseU, with over 7,000 paid AI students trained to date. She holds federal AI training contracts with Fairfax County government, corporate partnerships with JP Morgan and Verizon, and serves as AI Engineer and co-facilitator for the UNCF AI and Pedagogy Faculty Fellows Program.

No refunds.