Build Your Own AI Agent

Jai Bhagat

AI Educator for Business Leaders

Go from AI prototype to production by building your own agent

Your company wants AI agents but you're stuck at prototype. You don't know how to evaluate if your AI is working, or understand what's happening at runtime in the agent harness.

This course teaches you by doing. You'll build your own AI agent using Cursor and Claude Code (or free alternatives like opencode.ai). By building, you'll learn the foundations that transfer to ANY AI tool — evals, human-in-the-loop patterns, and why spikes beat sprints for AI work.

You'll leave with a working agent you built yourself, plus the skills to lead AI projects at your company.

What you’ll learn

Transform from "stuck at prototype" to confidently leading AI projects with hands-on skills that transfer to any AI tool

  • Set up your dev environment with industry-leading AI tools

  • Make your first agent call and see it work in real-time

  • Compare paid vs open source tools to understand tradeoffs

  • Understand what "evals" means and why it matters for production AI

  • Build an eval framework for your agent that catches issues before users do

  • Learn why agile/sprints are dead for AI work and what replaces them

  • Become the human-in-the-loop who works with many AIs and offers insights

Learn directly from Jai

Jai Bhagat

Jai Bhagat

Your favorite teacher's favorite teacher

Worked and taught at
HashiCorp
Cityblock Health
The New School
See all products from Amplified Intelligence Academy

Who this course is for

  • Product Managers (3-10 years) at tech companies whose teams are building AI features but struggling to get from prototype to production

  • Designers at tech companies who want to understand how AI agents work so they can design better AI-powered experiences

  • Junior-to-mid level engineers wondering what's next for them now that AI writes all the code.

What's included

Jai Bhagat

Live sessions

Learn directly from Jai Bhagat in a real-time, interactive format.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Jan 26—Jan 29

    Jan

    12

    Session 1: Foundations & Setup

    Mon 1/125:00 PM—6:30 PM (UTC)

    Jan

    15

    Session 2: Build & Evaluate

    Thu 1/155:00 PM—6:30 PM (UTC)

Schedule

Live sessions

5-10 hrs / week

    • Mon, Jan 12

      5:00 PM—6:30 PM (UTC)

    • Thu, Jan 15

      5:00 PM—6:30 PM (UTC)

Build Your Own Agent

2 hrs / week

Get a real agent working on your machine, deployed to the internet and observe the agent's performance using advanced LLM observability + evaluation techniques.

Async content

1 hr / week

Each week has pre-reading materials and your personalized action plan.

Frequently asked questions