Claude Code Bootcamp — Level 4: Enterprise Scale & Team Capstone

ENTERPRISE CLAUDE CODE FOR TEAMS

Scale Claude Code Across Your Whole Org. Team Standards, Persistent Agents, and a Production Capstone.

The capstone track for engineering teams. Scale Claude Code adoption with a centralized CLAUDE.md architecture, build persistent cloud-hosted agents with the Agent SDK, author production-ready plugins with LSP integration, and deliver a complete enterprise AI engineering solution as a collaborative team capstone.

Coming Soon Talk to Admissions
4 Enterprise Modules
Team Capstone Project
100% Hands-On Time
Team
Capstone
Google Cloud Premier Partner Google Cloud Premier Partner
Built for Engineering Leads Platform / DevEx Teams Staff / Principal Engineers AI Engineering Teams

From Platform Builder to Enterprise Standard.

assignment_turned_in

What You'll Build

  • 🏛️

    Team CLAUDE.md Architecture

    Scale adoption with role-based instruction hierarchies and shared context.

  • 🤖

    Persistent Agents & Agent SDK

    Build cloud-hosted, stateful agents that persist beyond a single session.

  • 🧩

    Production Plugin Authoring

    Ship versioned, LSP-integrated plugins that extend Claude Code at scale.

  • 🏆

    Enterprise Team Capstone

    Deliver a complete enterprise AI engineering solution as a team.

settings

Tools You'll Use

Claude Code logo
Claude Code
📄
CLAUDE.md
🧰
Claude Agent SDK
🔌
MCP Servers
🧩
Plugins & LSP
Git & GitHub logo
Git & GitHub

What You Will Build

Four enterprise modules culminating in a collaborative team capstone — the standards and systems that scale Claude Code across an org.

M1

TEAM CLAUDE.md ARCHITECTURE

schedule45 MIN

Scale adoption across teams with a centralized CLAUDE.md strategy: role-based instruction hierarchies, @ linking and shared context, plugin and standard distribution, and fast, consistent onboarding.

M2

PERSISTENT AGENTS & AGENT SDK

schedule1 HR

Build agents that persist beyond a single session: cloud-hosted managed agents, stateful architectures, long-running workflows via the Agent SDK and MCP, with memory, monitoring, and recovery for production.

M3

PRODUCTION PLUGIN AUTHORING

schedule1 HR

Build production-ready plugins that extend Claude Code: LSP integration for code intelligence, versioning and dependency management, multi-repo orchestration, and evaluation-driven quality measurement.

M4

TEAM CAPSTONE PROJECT

schedule1 HR 30 MIN

Design and ship a complete enterprise AI engineering solution as a team: Plan Mode for architecture and milestones, TDD with AI-assisted workflows, integrated MCP/plugins/CI-CD/agents, and a final architecture review.

Your Instructors

Prem Kumar

Prem Kumar

AI Architecture Expert

"Anyone can build an AI demo. I teach you how to build the architecture behind systems that scale, because the gap between prototype and production is where most teams get stuck."

Specialty

Data Platform Architecture AI-Enabled Systems Full-Stack Engineering Technical & AI Strategy High-Performance Team Building
Himal Rajan

Himal Rajan

Full Stack & AI Developer

"From React frontends to Python AI backends, I've spent my career building full-stack systems that actually ship, RAG pipelines, autonomous agents, and production APIs that handle real traffic. At RocketOne, I teach you the exact engineering decisions that turn an AI prototype into a system your users can depend on."

Specialty

Full Stack Development (React, Node.js) Python & AI Development RAG Pipelines & Vector Search Autonomous Agents Java & Spring Boot
Naveen Kumar

Naveen Kumar

AI/ML Engineer

"I've built AI systems across Zoho, Virtusa, and now SquareShift, from machine learning pipelines to generative AI applications. At RocketOne, I teach you the practical skills to build AI-powered solutions that work in the real world, not just in notebooks."

Specialty

Generative AI & LLMs Prompt Engineering Machine Learning Google Cloud ML AI Application Development MLOps & Model Deployment

Industry practitioners with hands-on delivery experience at SquareShift Technologies, a Google Cloud Premier Partner serving Fortune 500 clients.

What You Need Before Day 1

Required

  • Completed Claude Code Level 3 (MCP, subagents, skills/hooks, CI/CD) or equivalent advanced experience
  • Comfortable building integrations and working across multiple repositories
  • A team or cohort to collaborate with on the capstone

Not Required

  • Prior Agent SDK or plugin-authoring experience
  • Existing enterprise platform

This is the capstone (Level 4) track. You should have Level 3 integration and automation skills; here you scale them to enterprise and team delivery.

Every Question You Haven't Asked Yet.

Engineering teams and leads who have Level 3 skills (MCP, subagents, skills/hooks, CI/CD) and want to scale Claude Code across the org with shared standards, persistent agents, plugins, and a team capstone.
It's team-oriented. The capstone is a collaborative enterprise AI engineering project, and the CLAUDE.md and standards modules are about scaling adoption across a team.
A centralized CLAUDE.md architecture, persistent cloud-hosted agents with the Agent SDK, production plugins with LSP, and a complete enterprise AI engineering solution delivered as a team capstone.
This program is currently marked Coming Soon — register your interest with admissions and we'll notify you the moment enrollment opens.