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Lessons 1-2 Free Intermediate

Vibe Code Your First AI Agent: A Non-Engineer's Course

Build a working AI agent for your job in one afternoon — no Python, no Kaggle, no terminal. Lovable, Bolt.new, Replit Agent, Claude Code compared. 8 lessons + capstone.

8 lessons
2 hours
Certificate Included

In April 2026, Google + Kaggle relaunched their free 5-Day AI Agents Intensive course with a new focus: vibe coding. The previous version reached 1.5 million learners. The new June 15-19 course is targeted at developers — Python, Kaggle notebooks, Google AI Studio, a capstone called Kaggriculture where you build an agent to manage a farming simulation. It’s excellent, and it’s not for you if you can’t write code.

This course is the non-engineer counterpart. Same topic — AI agents, vibe-coded from plain-English descriptions — but built around the four tools that actually let non-engineers ship: Lovable (production-ready with auth + database), Bolt.new (fastest visual prototype), Replit Agent (full-stack with persistent compute), and Claude Code (the bridge tool for when you need custom logic the others can’t reach). No Python. No terminal. No Kaggle account. No Jupyter notebooks.

The arc mirrors Google’s 5-day curriculum but condensed to 8 lessons and translated for the audience Google’s course leaves behind. Day 1 (Intro to Agents) becomes Lesson 1 (what a vibe-coded agent actually is — and why it’s not the same thing as Zapier or n8n). Day 2 (Tools + Interoperability) becomes Lesson 4 (connecting your agent to Google Sheets, Slack, Gmail, your CRM). Day 3 (Context Engineering) becomes Lesson 5 (the 3 memory layers explained without the token-budget math). Day 4 (Quality + Security) becomes Lesson 6 (the 3 concrete sanity checks — sandbox, edge-case, privacy — that catch most of the real failures). Day 5 (Prototype to Production) becomes Lesson 7 (free-tier-to-team-deployment migration across the three primary tools). The capstone replaces Kaggriculture with something useful: build a working agent for your specific recurring monthly workflow.

By the end of Lesson 8, you’ll have a deployed AI agent at a URL you can share with a teammate, built for a workflow you actually do at work — variance summary, status report compiler, customer follow-up triage, expense categorizer, lead scorer, content briefing assistant, scheduling negotiator. The certificate becomes proof you can scope, build, validate, and ship AI-augmented work without writing code.

If you’d rather learn the broader vibe-coding paradigm first — building general apps and websites, not specifically agents — start with our Vibe Coding with AI course. If you’d rather configure existing automation tools (n8n, Zapier, Make, Lindy) than build new agents from scratch, the No-Code AI Agents course is the better fit. This course is specifically for the moment when you want to ship something new — an agent that didn’t exist last week, built from a description you wrote this afternoon.

What You'll Learn

  • Distinguish vibe-coded AI agents from no-code automation tools (Zapier, n8n) and the developer-Python-Kaggle path
  • Use Lovable, Bolt.new, or Replit Agent to ship a working agent from a plain-English description in 30 minutes
  • Apply the describe → review → ship loop to iterate a half-baked agent into a working one
  • Apply the OAuth/connector pattern to wire your agent to Google Sheets, Slack, Gmail, and other work tools
  • Evaluate which of the 3 memory layers (chat / file / database) a given agent workflow needs
  • Analyze the 3 sanity checks (sandbox, edge-case, privacy) against a working agent before shipping it
  • Evaluate the free-tier-to-production migration path across Lovable, Bolt, and Replit Agent based on workload and team size
  • Create a working vibe-coded agent for one recurring workflow from your own job

After This Course, You Can

Ship a working AI agent for a recurring monthly workflow that you can run yourself without engineering hires
Turn 'I wish we had a tool for X' team conversations into a working prototype within an afternoon
Defend your tool choice — Lovable vs Bolt vs Replit — to a CFO or IT lead with the production-readiness, cost, and compliance dimensions named explicitly
Recognize the 3 sanity-check failure modes BEFORE you let an agent loose on real customer or team data
Earn a certificate you can post to LinkedIn or include in your next career conversation as proof you can ship AI-augmented work without an engineering team

What You'll Build

Working AI Agent for Your Job Workflow
A deployed agent (URL you can share) built on Lovable, Bolt, or Replit Agent, connected to at least one real data source (Google Sheets, Slack, Gmail, or your CRM), with one of the 3 memory patterns applied appropriately. The portfolio piece you'll show in your next career conversation.
Your Sanity-Check Audit Log
A 1-page record of how your agent failed the sandbox / edge-case / privacy check on the first build and what you fixed before shipping. The proof you can ship AI work with the audit discipline regulators (and reasonable bosses) expect.
Vibe Code Your First AI Agent Certificate
A verifiable credential proving you can scope, build, validate, and ship a working AI agent for a real workflow — without writing code.

Course Syllabus

Prerequisites

  • Basic AI literacy — you've used ChatGPT or Claude at least a few times and you can write a prompt
  • A computer with internet access (no terminal, no Python, no IDE needed — Lovable / Bolt / Replit all run in the browser)
  • Free account on Lovable, Bolt, or Replit (we'll guide the choice in Lesson 2)
  • One de-identified work artifact to test against during L2-L5 (a sample spreadsheet, an email thread, a recurring report — sample data works)

Who Is This For?

  • Operations managers building internal dashboards and routine-work automation without engineering tickets
  • Marketing teams shipping landing-page experiments, lead-scoring tools, and content workflow assistants
  • Solo founders and small-business owners building MVPs without engineering hires
  • Consultants and freelancers building custom client deliverables (calculators, interactive reports, dashboards)
  • Non-technical product managers building functional prototypes for stakeholder buy-in
  • HR, finance, and admin professionals automating the recurring monthly workflows they currently do by hand
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Frequently Asked Questions

How is this different from Google's free 5-Day AI Agents Vibe Coding Course?

Google's course is excellent — for developers. It assumes you can run Kaggle notebooks, write Python, and deploy via Google AI Studio. The capstone (Kaggriculture, a farming simulation) is a developer exercise. This course is the non-engineer version of the same curriculum arc — same topics (agents, tools, memory, quality, production), different audience (no Python, no terminal, no notebooks), different capstone (an agent for YOUR job, not a farming sim). Take both if you have the time; take this one if you can't write code.

Do I need to know Python or write any code at all?

No. The four tools we cover — Lovable, Bolt.new, Replit Agent, and Claude Code via Claude.ai — all let you describe the agent in plain English and ship a working app from the description. Replit and Lovable will generate code under the hood; you don't have to read or write it for the capstone. The course covers what to do when the AI writes code that doesn't quite work (Lesson 3) without requiring you to write code yourself.

How is this different from your existing 'Vibe Coding with AI' course?

The existing 'Vibe Coding with AI' course (February 2026) covers vibe coding broadly — building general apps, websites, and tools using Cursor, Claude Code, Bolt.new, and Lovable. This new course is specifically about AGENTS — autonomous workflows that take input, do work, and return output without constant human direction. Different scope: this one assumes you want an agent (not just an app) and walks the full agent-specific path including memory, integration, sanity checks, and the free-to-paid migration.

Which tool will I be using — Lovable, Bolt, or Replit Agent?

Lesson 2 helps you pick based on your situation: Bolt for the fastest visual prototype, Lovable for production-readiness (auth + database), Replit Agent for full-stack with persistent compute. The rest of the course uses the tool you picked. If you want to try multiple, the lessons are written so the patterns transfer — pick one for the capstone but feel free to experiment with the others on practice runs.

What will I have at the end of the course?

A working AI agent built for one recurring workflow from your own job — variance summary, status report compiler, customer follow-up triage, expense categorizer, content briefing assistant, scheduling negotiator, anything you currently do by hand weekly. The agent connects to at least one real data source, applies one of the 3 memory patterns appropriately, and is deployed at a URL you can share with a teammate. Plus the certificate that says you can ship AI-augmented work without writing code.

How current does this stay?

Last reviewed 2026-05-27. We're on a 3-month review cadence because the vibe-coding-tool landscape (Lovable, Bolt, Replit, v0) is evolving fast — new features ship monthly, free-tier limits move, integrations get added. We refresh the tier-comparison numbers and the tool-by-tool feature breakdown every quarter. If anything in the course doesn't match what you see in the live tool, ping us — the lesson content updates ahead of the review window when vendor-side material moves.

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