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Mastering Autonomous AI Agents: From Setup to Scalable Workflows

Learn to build, configure, and scale autonomous AI agents to automate business departments. Master context engineering, compounding memory, Model Context Protocol (MCP) integrations, and reusable skills.

Greg Isenberg
Greg Isenberg@gregisenberg
Published Jul 19, 2026
Updated Jul 19, 2026
Mastering Autonomous AI Agents: From Setup to Scalable Workflows
58m
1Enrolled0Bookmarked
—/ 5.0

Course Overview

This course provides a comprehensive roadmap to building, running, and scaling fully functional autonomous AI agents. Instead of simply chatting with AI, you will learn how to design self-improving agent loops that can run entire business departments.

What You'll Learn

  • The Agent Loop: Understand the core observe-think-act cycle powering top platforms like Claude Code, Codex, and Antigravity.
  • Context Engineering: Move beyond prompt engineering by structuring persistent agents.md context files.
  • Compounding Memory: Implement self-updating memory.md systems that minimize repeat errors.
  • Model Context Protocol (MCP): Connect your agents to daily tools like Gmail, Calendar, Stripe, and Notion.
  • Creating Reusable Skills: Package Standard Operating Procedures (SOPs) into executable markdown skills.

Prerequisites

  • Basic familiarity with markdown formatting and command-line interfaces.
  • No advanced coding experience required; designed to be beginner-friendly.

Tools & Technologies

  • Platforms: Claude Code, Codex, Antigravity, OpenClaw
  • Protocols & Formats: Model Context Protocol (MCP), Markdown-based context/memory structures

Course Content

3Chapters7Lessons3Quizzes
1

Understanding the Agent Loop and Platforms

2 lessons · 14mQuiz
1

The Core Mechanics: Shifting from Chat to Autonomous Agent Loops

6:39
2

Evaluating Agent Platforms: Claude Code, Codex, and Antigravity

7:24
2

Context Engineering and Compounding Memory

2 lessons · 16mQuiz
1

Onboarding Your Agent with agents.md

7:30
2

Creating a Compounding Memory Loop with memory.md

9:23
3

Tool Integration via MCP and Creating Reusable Skills

3 lessons · 27mQuiz
1

Connecting Tools via Model Context Protocol (MCP)

8:21
2

Creating Reusable Skills and AI Standard Operating Procedures

10:33
3

Chaining Skills and Choosing Your Agent Platform

8:19

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