Grok Bot Masterclass Build Autonomous AI Teams

Build real agents, MCP workflows, automations, and multi-agent teams through 15 hands-on projects.
What you'll learn

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Create and configure Grok Bot agents with clear roles, tools, and approval boundaries.
Connect MCP servers and business apps to run real research, communication, and delivery workflows.
Coordinate specialist AI-agent teams with group chats, parallel execution, and structured handoffs.
Turn successful workflows into reusable skills, scheduled routines, and reliable automations.
Requirements

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A Grok Bot account with access to Bots and Agent Computer features. Basic familiarity with web apps is enough; no programming is required for most lessons. Optional GitHub, Google Drive, Gmail, Calendar, and Slack access will help you follow the integration projects.
Description

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This course contains the use of artificial intelligence.
Build real AI teams that research, code, sell, operate, and deliver work inside Grok Bot. This is a practical, project-first masterclass: every lesson shows a real workflow on screen, with no theory-heavy slide deck and no filler.
Across 15 complete projects and 60 focused lessons, you will move from your first production-ready agent to a full multi-agent company operating system. You will build a market intelligence desk, a GitHub research swarm, a daily chief of staff, an inbox and meeting autopilot, a competitive intelligence engine, an engineering bot, an incident response command center, a revenue engine, a product intelligence system, a content factory, a product launch squad, a software factory, and more.
You will learn how to define agent roles, write strong operating instructions, connect MCP servers and business apps, coordinate specialist agents in group chats, run tasks in parallel, review evidence, structure handoffs, and introduce human approval gates before consequential actions. You will also turn successful workflows into reusable skills, scheduled routines, and reliable automations with retry safety and clear failure handling.
The course uses realistic scenarios across finance, research, GitHub, Google Drive, Gmail, Calendar, Slack, sales, marketing, content, and software development. Each project adds a new layer of capability while reinforcing the habits that make agent systems dependable: source verification, transparent reasoning, bounded permissions, observable outputs, and clean operational design.
You do not need to be a programmer. If you can use modern web applications and describe an outcome clearly, you can follow the course. Technical learners will also gain a practical framework for designing advanced multi-agent orchestration without unnecessary complexity.
By the end, you will be able to design, launch, supervise, and improve Grok Bot systems that do meaningful work from start to finish.
Who this course is for

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Founders, operators, creators, developers, and knowledge workers who want practical AI-agent workflows; Grok Bot users ready to move from one agent to coordinated teams; and no-code or technical learners who prefer real projects over theory-heavy presentations.
Homepage

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