Online course · 4.5 hours · 10 sections
Claude Code Enterprise Mastery
Ship Faster. Ship Safer.
The governance stack for engineering teams deploying Claude Code at enterprise scale. Permissions, deny rules, CLAUDE.md, hooks, multi-agent worktrees, CI/CD integration, MCP, cost optimization, and compliance readiness — every configuration demonstrated on a real codebase. Not slides.
Why this course exists
Most engineering teams deploy Claude Code the same way they adopted GitHub Copilot. They shouldn't.
Claude Code runs with full shell permissions by default. It can read files, write code, run commands, push branches, and call APIs. Without governance — permissions, deny rules, CLAUDE.md, hooks, audit logs — a single careless prompt during a routine review can expose production credentials to the model.
This course is the governance stack that should exist before your team scales adoption. 4.5 hours. 10 sections. Every configuration demonstrated on a real codebase.
What you'll learn — 10 sections
Foundations — Why Enterprise Claude Code Is Different
How Claude Code is fundamentally different from autocomplete or chat. The full-shell permission model. Why most engineering teams underestimate the security implications.
Permissions & Deny Rules
The permission model — allow, deny, ask. Building deny rules that protect production credentials, .env files, and sensitive directories. Real failure modes from teams that skipped this.
Sandboxing & Worktrees
Running Claude Code in isolated environments. Multi-agent parallel worktrees for safe concurrent development. Cleanup patterns.
CLAUDE.md — Teaching Claude Your Codebase
What goes in CLAUDE.md, what doesn't. Repo-level vs subdirectory CLAUDE.md files. Performance and context implications.
Skills — Reusable Capabilities
Designing skills for org-specific workflows. Skill structure, triggering, scoping. How skills compose with permissions and hooks.
Hooks — Automating Around Claude
Pre-tool-call hooks, post-tool-call hooks, user-prompt-submit hooks. Auditing AI actions, enforcing approval workflows, integration with internal systems.
Multi-Agent & Parallel Worktrees
Running multiple Claude agents safely in parallel. Coordination patterns. When parallelism helps and when it hurts.
CI/CD Integration
GitHub Actions integration. Pre-commit hooks. Pull-request workflows. Continuous security scanning of AI-generated code.
MCP — Model Context Protocol
Connecting Claude Code to internal tools, databases, ticketing, observability. Building custom MCP servers. Authentication patterns.
Cost Optimization & Compliance Readiness
Token cost controls. Caching strategies. SOC 2 and UAE PDPL-aligned audit trails. Internal policy frameworks for enterprise rollout.
Your instructor
Ritesh Vajariya
Founder & CEO, AI Guru · Ex-AWS Principal · Ex-Cerebras · BloombergGPT architect · HBS alumnus
Ritesh architected core systems for BloombergGPT during his AWS tenure, drove $700M+ in AI revenue at AWS, and led global generative AI strategy at Cerebras Systems. Through AI Guru, he has trained 100,000+ professionals across 4 continents and shipped 20 AI products into production.
This course distils 15+ years of building production AI for regulated enterprises into the specific governance patterns that make Claude Code deployments succeed at scale.
Frequently Asked Questions
Who is this course for?+
Engineering teams deploying Claude Code at scale — typically 40+ engineers — and the leaders responsible for ensuring it ships safely. Engineering managers, principal engineers, CISOs, DevOps leads, and platform engineering teams. The course assumes basic familiarity with Claude Code; you don't need to be an expert.
What problem does it solve?+
Most enterprises deploy Claude Code without governance: no permissions configured, no CLAUDE.md, no deny rules, no cost controls. Then a .env file with production credentials gets read during a code review, CISO shuts down the pilot, and the deployment dies. This course is the governance stack that prevents that.
How long is the course?+
4.5 hours of video across 10 sections. Designed to be consumable in 1–2 sittings. Every configuration is demonstrated on a real codebase — not slides.
Where can I take the course?+
Published on Udemy. There's a Coursera version in production for enterprise procurement. Look for 'Claude Code Enterprise Mastery: Ship Faster, Ship Safer' on Ritesh Vajariya's Udemy instructor page.
Who is Ritesh Vajariya?+
Founder and CEO of AI Guru. Architected core systems for BloombergGPT during AWS tenure. Drove $700M+ in AI revenue at AWS. Led global generative AI strategy at Cerebras Systems. Harvard Business School alumnus. 15+ years building production AI systems for regulated enterprises.
Can my team take this as an enterprise engagement?+
Yes. AI Guru runs Claude Code enterprise rollout engagements that include team training, organisation-specific CLAUDE.md and hook design, deny rule audit, MCP integration with your internal tools, and adoption tracking. Reach out via the contact form.
Two ways to take this course
Individual learners
Enrol on Udemy
4.5 hours of video. Lifetime access. Certificate on completion. Self-paced.
Enrol on Udemy →Enterprise rollout
Team engagement
Team-wide training, org-specific CLAUDE.md design, deny rule audit, MCP integration with internal tools, adoption tracking.
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